Read the Docs build information Build id: 535933 Project: feature-labs-inc-evalml Version: latest Commit: 51cba3fa041f8c94b60261e6c2ceb0f944b87ea5 Date: 2021-01-19T22:11:32.451733Z State: finished Success: True [rtd-command-info] start-time: 2021-01-19T22:11:34.290739Z, end-time: 2021-01-19T22:11:36.622792Z, duration: 2, exit-code: 0 git clone --no-single-branch --depth 50 git@github.com:alteryx/evalml.git . Cloning into '.'... Warning: Permanently added 'github.com,192.30.255.112' (RSA) to the list of known hosts. [rtd-command-info] start-time: 2021-01-19T22:12:00.044780Z, end-time: 2021-01-19T22:12:00.205318Z, 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 51cba3fa Add ability to freeze hyperparameters in AutoMLSearch (#1676) [rtd-command-info] start-time: 2021-01-19T22:12:00.044780Z, end-time: 2021-01-19T22:12:00.205318Z, 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 51cba3fa Add ability to freeze hyperparameters in AutoMLSearch (#1676) [rtd-command-info] start-time: 2021-01-19T22:12:05.527804Z, end-time: 2021-01-19T22:12:05.601520Z, duration: 0, exit-code: 0 git clean -d -f -f [rtd-command-info] start-time: 2021-01-19T22:12:13.198198Z, end-time: 2021-01-19T22:12:28.637961Z, duration: 15, exit-code: 0 python3.8 -mvirtualenv Using base prefix '/home/docs/.pyenv/versions/3.8.6' New python executable in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/bin/python3.8 Also creating executable in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/bin/python Installing setuptools, pip, wheel... done. [rtd-command-info] start-time: 2021-01-19T22:12:28.756593Z, end-time: 2021-01-19T22:12:30.383956Z, duration: 1, exit-code: 0 python -m pip install --upgrade --no-cache-dir pip Requirement already satisfied: pip in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (20.3.3) [rtd-command-info] start-time: 2021-01-19T22:12:31.773218Z, end-time: 2021-01-19T22:13:10.385266Z, duration: 38, exit-code: 0 python -m pip install --upgrade --no-cache-dir setuptools==41.0.1 docutils==0.14 mock==1.0.1 pillow==5.4.1 alabaster>=0.7,<0.8,!=0.7.5 six commonmark==0.8.1 recommonmark==0.5.0 sphinx<2 sphinx-rtd-theme<0.5 readthedocs-sphinx-ext<2.2 Collecting commonmark==0.8.1 Downloading commonmark-0.8.1-py2.py3-none-any.whl (47 kB) Collecting docutils==0.14 Downloading docutils-0.14-py3-none-any.whl (543 kB) Collecting mock==1.0.1 Downloading mock-1.0.1.zip (861 kB) Collecting pillow==5.4.1 Downloading Pillow-5.4.1.tar.gz (16.0 MB) Collecting recommonmark==0.5.0 Downloading recommonmark-0.5.0-py2.py3-none-any.whl (9.8 kB) Collecting alabaster!=0.7.5,<0.8,>=0.7 Downloading alabaster-0.7.12-py2.py3-none-any.whl (14 kB) Collecting readthedocs-sphinx-ext<2.2 Downloading readthedocs_sphinx_ext-2.1.2-py2.py3-none-any.whl (11 kB) Collecting sphinx<2 Downloading Sphinx-1.8.5-py2.py3-none-any.whl (3.1 MB) Collecting six Downloading six-1.15.0-py2.py3-none-any.whl (10 kB) Collecting sphinx-rtd-theme<0.5 Downloading sphinx_rtd_theme-0.4.3-py2.py3-none-any.whl (6.4 MB) Collecting babel!=2.0,>=1.3 Downloading Babel-2.9.0-py2.py3-none-any.whl (8.8 MB) Collecting Jinja2>=2.9 Downloading Jinja2-2.11.2-py2.py3-none-any.whl (125 kB) Collecting MarkupSafe>=0.23 Downloading MarkupSafe-1.1.1-cp38-cp38-manylinux1_x86_64.whl (32 kB) Collecting Pygments>=2.0 Downloading Pygments-2.7.4-py3-none-any.whl (950 kB) Collecting pytz>=2015.7 Downloading pytz-2020.5-py2.py3-none-any.whl (510 kB) Collecting requests Downloading requests-2.25.1-py2.py3-none-any.whl (61 kB) Collecting certifi>=2017.4.17 Downloading certifi-2020.12.5-py2.py3-none-any.whl (147 kB) Collecting chardet<5,>=3.0.2 Downloading chardet-4.0.0-py2.py3-none-any.whl (178 kB) Collecting idna<3,>=2.5 Downloading idna-2.10-py2.py3-none-any.whl (58 kB) Collecting snowballstemmer>=1.1 Downloading snowballstemmer-2.0.0-py2.py3-none-any.whl (97 kB) Collecting urllib3<1.27,>=1.21.1 Downloading urllib3-1.26.2-py2.py3-none-any.whl (136 kB) Collecting future Downloading future-0.18.2.tar.gz (829 kB) Collecting imagesize Downloading imagesize-1.2.0-py2.py3-none-any.whl (4.8 kB) Collecting packaging Downloading packaging-20.8-py2.py3-none-any.whl (39 kB) Collecting pyparsing>=2.0.2 Downloading pyparsing-2.4.7-py2.py3-none-any.whl (67 kB) Collecting sphinxcontrib-websupport Downloading sphinxcontrib_websupport-1.2.4-py2.py3-none-any.whl (39 kB) Collecting sphinxcontrib-serializinghtml Downloading sphinxcontrib_serializinghtml-1.1.4-py2.py3-none-any.whl (89 kB) Collecting setuptools==41.0.1 Downloading setuptools-41.0.1-py2.py3-none-any.whl (575 kB) Building wheels for collected packages: mock, pillow, future Building wheel for mock (setup.py): started Building wheel for mock (setup.py): finished with status 'done' Created wheel for mock: filename=mock-1.0.1-py3-none-any.whl size=23755 sha256=f6469293358f920692cd8f2d8a18389c67c28ca7640dfe5f8485bc0b7efb774f Stored in directory: /tmp/pip-ephem-wheel-cache-yg39k173/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=1259862 sha256=a93b0e52f0651694f70a69ff3bfa259fee3d6ac410097767ccd90fd5ff099519 Stored in directory: /tmp/pip-ephem-wheel-cache-yg39k173/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=69bd14972e76b147285717b9a2b602c6238d961eb7c0b86fa1dafdf2a7b6c08f Stored in directory: /tmp/pip-ephem-wheel-cache-yg39k173/wheels/8e/70/28/3d6ccd6e315f65f245da085482a2e1c7d14b90b30f239e2cf4 Successfully built mock pillow future Installing collected packages: urllib3, sphinxcontrib-serializinghtml, pytz, pyparsing, MarkupSafe, idna, chardet, certifi, sphinxcontrib-websupport, snowballstemmer, six, setuptools, requests, Pygments, packaging, Jinja2, imagesize, future, docutils, babel, alabaster, sphinx, commonmark, sphinx-rtd-theme, recommonmark, readthedocs-sphinx-ext, pillow, mock Attempting uninstall: setuptools Found existing installation: setuptools 51.3.3 Uninstalling setuptools-51.3.3: Successfully uninstalled setuptools-51.3.3 Successfully installed Jinja2-2.11.2 MarkupSafe-1.1.1 Pygments-2.7.4 alabaster-0.7.12 babel-2.9.0 certifi-2020.12.5 chardet-4.0.0 commonmark-0.8.1 docutils-0.14 future-0.18.2 idna-2.10 imagesize-1.2.0 mock-1.0.1 packaging-20.8 pillow-5.4.1 pyparsing-2.4.7 pytz-2020.5 readthedocs-sphinx-ext-2.1.2 recommonmark-0.5.0 requests-2.25.1 setuptools-41.0.1 six-1.15.0 snowballstemmer-2.0.0 sphinx-1.8.5 sphinx-rtd-theme-0.4.3 sphinxcontrib-serializinghtml-1.1.4 sphinxcontrib-websupport-1.2.4 urllib3-1.26.2 [rtd-command-info] start-time: 2021-01-19T22:13:10.996246Z, end-time: 2021-01-19T22:13:12.807318Z, duration: 1, exit-code: 0 python -m pip install --exists-action=w --no-cache-dir -r docs/readthedocs-requirements.txt Collecting setuptools>=45.1.0 Downloading setuptools-51.3.3-py3-none-any.whl (786 kB) Installing collected packages: setuptools Attempting uninstall: setuptools Found existing installation: setuptools 41.0.1 Uninstalling setuptools-41.0.1: Successfully uninstalled setuptools-41.0.1 Successfully installed setuptools-51.3.3 [rtd-command-info] start-time: 2021-01-19T22:13:12.915940Z, end-time: 2021-01-19T22:13:21.011209Z, duration: 8, exit-code: 0 python -m pip install --exists-action=w --no-cache-dir -r docs-requirements.txt Collecting nbconvert>=5.5.0 Downloading nbconvert-6.0.7-py3-none-any.whl (552 kB) Requirement already satisfied: jinja2>=2.4 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from nbconvert>=5.5.0->-r docs-requirements.txt (line 3)) (2.11.2) Requirement already satisfied: pygments>=2.4.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from nbconvert>=5.5.0->-r docs-requirements.txt (line 3)) (2.7.4) Collecting nbsphinx>=0.4.2 Downloading nbsphinx-0.8.1-py3-none-any.whl (24 kB) Requirement already satisfied: docutils in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from nbsphinx>=0.4.2->-r docs-requirements.txt (line 4)) (0.14) Collecting pydata-sphinx-theme>=0.3.1 Downloading pydata_sphinx_theme-0.4.1-py3-none-any.whl (2.1 MB) Collecting Sphinx>=2.0.1 Downloading Sphinx-3.4.3-py3-none-any.whl (2.9 MB) Requirement already satisfied: snowballstemmer>=1.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (2.0.0) Requirement already satisfied: 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: sphinxcontrib-serializinghtml in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (1.1.4) Requirement already satisfied: imagesize in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (1.2.0) Requirement already satisfied: alabaster<0.8,>=0.7 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (0.7.12) Requirement already satisfied: babel>=1.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (2.9.0) Requirement already satisfied: packaging in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (20.8) Requirement already satisfied: setuptools in 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tornado-6.1-cp38-cp38-manylinux2010_x86_64.whl (427 kB) Collecting traitlets>=4.2 Downloading traitlets-5.0.5-py3-none-any.whl (100 kB) Collecting async-generator Downloading async_generator-1.10-py3-none-any.whl (18 kB) Collecting bleach Downloading bleach-3.2.1-py2.py3-none-any.whl (145 kB) Collecting defusedxml Downloading defusedxml-0.6.0-py2.py3-none-any.whl (23 kB) Collecting ipython-genutils Downloading ipython_genutils-0.2.0-py2.py3-none-any.whl (26 kB) Collecting jupyterlab-pygments Downloading jupyterlab_pygments-0.1.2-py2.py3-none-any.whl (4.6 kB) Collecting nest-asyncio Downloading nest_asyncio-1.4.3-py3-none-any.whl (5.3 kB) Requirement already satisfied: pyparsing>=2.0.2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from packaging->Sphinx>=2.0.1->-r docs-requirements.txt (line 2)) (2.4.7) Collecting sphinxcontrib-applehelp Downloading sphinxcontrib_applehelp-1.0.2-py2.py3-none-any.whl (121 kB) Collecting sphinxcontrib-devhelp Downloading sphinxcontrib_devhelp-1.0.2-py2.py3-none-any.whl (84 kB) Collecting sphinxcontrib-htmlhelp Downloading sphinxcontrib_htmlhelp-1.0.3-py2.py3-none-any.whl (96 kB) Collecting sphinxcontrib-jsmath Downloading sphinxcontrib_jsmath-1.0.1-py2.py3-none-any.whl (5.1 kB) Collecting sphinxcontrib-qthelp Downloading sphinxcontrib_qthelp-1.0.3-py2.py3-none-any.whl (90 kB) Collecting testpath Downloading testpath-0.4.4-py2.py3-none-any.whl (163 kB) Collecting webencodings Downloading webencodings-0.5.1-py2.py3-none-any.whl (11 kB) Building wheels for collected packages: pandocfilters, pyrsistent Building wheel for pandocfilters (setup.py): started Building wheel for pandocfilters (setup.py): finished with status 'done' Created wheel for pandocfilters: filename=pandocfilters-1.4.3-py3-none-any.whl size=7992 sha256=c24e2e53d6e8629d8fc19c4db94bdd4d202eb13f998b84b08f611736a2ab3fd3 Stored in directory: 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pydata-sphinx-theme, nbsphinx Attempting uninstall: Sphinx Found existing installation: Sphinx 1.8.5 Uninstalling Sphinx-1.8.5: Successfully uninstalled Sphinx-1.8.5 Successfully installed Sphinx-3.4.3 async-generator-1.10 attrs-20.3.0 bleach-3.2.1 defusedxml-0.6.0 entrypoints-0.3 ipython-genutils-0.2.0 jsonschema-3.2.0 jupyter-client-6.1.11 jupyter-core-4.7.0 jupyterlab-pygments-0.1.2 mistune-0.8.4 nbclient-0.5.1 nbconvert-6.0.7 nbformat-5.1.2 nbsphinx-0.8.1 nest-asyncio-1.4.3 pandocfilters-1.4.3 pydata-sphinx-theme-0.4.1 pyrsistent-0.17.3 python-dateutil-2.8.1 pyzmq-21.0.1 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: 2021-01-19T22:13:21.303293Z, end-time: 2021-01-19T22:14:48.409224Z, duration: 87, exit-code: 0 python -m pip install --upgrade --upgrade-strategy eager --no-cache-dir . 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argon2_cffi-20.1.0-cp35-abi3-manylinux1_x86_64.whl (97 kB) Collecting cffi>=1.0.0 Downloading cffi-1.14.4-cp38-cp38-manylinux1_x86_64.whl (411 kB) Collecting backcall Downloading backcall-0.2.0-py2.py3-none-any.whl (11 kB) Collecting colorama Downloading colorama-0.4.4-py2.py3-none-any.whl (16 kB) Collecting heapdict Downloading HeapDict-1.0.1-py3-none-any.whl (3.9 kB) Requirement already satisfied: MarkupSafe>=0.23 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from jinja2->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.17.0) (1.1.1) Collecting locket Downloading locket-0.2.1-py2.py3-none-any.whl (4.1 kB) Requirement already satisfied: pandocfilters>=1.4.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.17.0) (1.4.3) Requirement already 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bleach->nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.17.0) (20.8) Collecting numba Downloading numba-0.52.0-cp38-cp38-manylinux2014_x86_64.whl (3.2 MB) Collecting llvmlite<0.36,>=0.35.0 Downloading llvmlite-0.35.0-cp38-cp38-manylinux2010_x86_64.whl (25.3 MB) Collecting pickleshare Downloading pickleshare-0.7.5-py2.py3-none-any.whl (6.9 kB) Collecting prometheus-client Downloading prometheus_client-0.9.0-py2.py3-none-any.whl (53 kB) Collecting pycparser Downloading pycparser-2.20-py2.py3-none-any.whl (112 kB) Collecting regex Downloading regex-2020.11.13-cp38-cp38-manylinux2014_x86_64.whl (738 kB) Collecting wcwidth Downloading wcwidth-0.2.5-py2.py3-none-any.whl (30 kB) Building wheels for collected packages: evalml, nltk, requirements-parser, retrying, shap Building wheel for evalml (setup.py): started Building wheel for evalml (setup.py): finished with status 'done' Created wheel for evalml: filename=evalml-0.17.0-py3-none-any.whl size=6084330 sha256=dfee2dc4d1cb6524385e46020903d308080abf37fdec4eed140d236596fda256 Stored in directory: /tmp/pip-ephem-wheel-cache-6poofuy_/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=1434677 sha256=b6142caea4d05be0dd8e843aa6ab9145ee1d5533c43a3127fe8793e6a1edc6d5 Stored in directory: /tmp/pip-ephem-wheel-cache-6poofuy_/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=79769544a69653a6589dd0910adab225e10ed9e968d9e43b30b082e8a83167db Stored in directory: /tmp/pip-ephem-wheel-cache-6poofuy_/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=c239c25026581e3e4c323276248a465f37f08e60afd7e135680635fdc817513f Stored in directory: /tmp/pip-ephem-wheel-cache-6poofuy_/wheels/c4/a7/48/0a434133f6d56e878ca511c0e6c38326907c0792f67b476e56 Building wheel for shap (setup.py): started Building wheel for shap (setup.py): finished with status 'done' Created wheel for shap: filename=shap-0.38.1-cp38-cp38-linux_x86_64.whl size=497679 sha256=9269e3d678719e6ca37b7cf443ea9c3b387675e097c48ad362b8949b65bae1e3 Stored in directory: /tmp/pip-ephem-wheel-cache-6poofuy_/wheels/87/7c/3f/1012132e5a8db6b4e125e64be0fd96f581803e101b0403c65f Successfully built evalml nltk requirements-parser retrying shap Installing collected packages: wcwidth, ptyprocess, parso, pycparser, prompt-toolkit, pickleshare, pexpect, jedi, decorator, backcall, toolz, pyyaml, numpy, locket, ipython, heapdict, cffi, zict, terminado, tblib, sortedcontainers, Send2Trash, psutil, prometheus-client, partd, pandas, msgpack, ipykernel, fsspec, dask, cloudpickle, click, argon2-cffi, tqdm, threadpoolctl, scipy, retrying, regex, pillow, patsy, notebook, llvmlite, kiwisolver, joblib, distributed, cycler, widgetsnbextension, statsmodels, slicer, scikit-learn, pyarrow, pyaml, plotly, numba, nltk, matplotlib, jupyterlab-widgets, graphviz, featuretools, xgboost, woodwork, texttable, shap, seaborn, scikit-optimize, requirements-parser, nlp-primitives, networkx, lightgbm, kaleido, ipywidgets, colorama, category-encoders, catboost, evalml Attempting uninstall: pillow Found existing installation: Pillow 5.4.1 Uninstalling Pillow-5.4.1: Successfully uninstalled Pillow-5.4.1 Successfully installed Send2Trash-1.5.0 argon2-cffi-20.1.0 backcall-0.2.0 catboost-0.24.4 category-encoders-2.2.2 cffi-1.14.4 click-7.1.2 cloudpickle-1.6.0 colorama-0.4.4 cycler-0.10.0 dask-2021.1.0 decorator-4.4.2 distributed-2021.1.0 evalml-0.17.0 featuretools-0.23.0 fsspec-0.8.5 graphviz-0.16 heapdict-1.0.1 ipykernel-5.4.3 ipython-7.19.0 ipywidgets-7.6.3 jedi-0.18.0 joblib-1.0.0 jupyterlab-widgets-1.0.0 kaleido-0.1.0 kiwisolver-1.3.1 lightgbm-3.1.1 llvmlite-0.35.0 locket-0.2.1 matplotlib-3.3.3 msgpack-1.0.2 networkx-2.5 nlp-primitives-1.1.0 nltk-3.5 notebook-6.2.0 numba-0.52.0 numpy-1.19.5 pandas-1.1.5 parso-0.8.1 partd-1.1.0 patsy-0.5.1 pexpect-4.8.0 pickleshare-0.7.5 pillow-8.1.0 plotly-4.14.3 prometheus-client-0.9.0 prompt-toolkit-3.0.10 psutil-5.8.0 ptyprocess-0.7.0 pyaml-20.4.0 pyarrow-2.0.0 pycparser-2.20 pyyaml-5.4 regex-2020.11.13 requirements-parser-0.2.0 retrying-1.3.3 scikit-learn-0.23.2 scikit-optimize-0.8.1 scipy-1.5.4 seaborn-0.11.1 shap-0.38.1 slicer-0.0.7 sortedcontainers-2.3.0 statsmodels-0.12.1 tblib-1.7.0 terminado-0.9.2 texttable-1.6.3 threadpoolctl-2.1.0 toolz-0.11.1 tqdm-4.56.0 wcwidth-0.2.5 widgetsnbextension-3.5.1 woodwork-0.0.7 xgboost-1.2.1 zict-2.0.0 [rtd-command-info] start-time: 2021-01-19T22:14:51.829108Z, end-time: 2021-01-19T22:14:51.904488Z, duration: 0, exit-code: 0 cat docs/source/conf.py # -*- coding: utf-8 -*- # # Configuration file for the Sphinx documentation builder. # # This file does only contain a selection of the most common options. For a # full list see the documentation: # http://www.sphinx-doc.org/en/master/config # -- Path setup -------------------------------------------------------------- # If extensions (or modules to document with autodoc) are in another directory, # add these directories to sys.path here. If the directory is relative to the # documentation root, use os.path.abspath to make it absolute, like shown here. import evalml import os import sys import subprocess from sphinx.ext.autodoc import (Documenter, MethodDocumenter) from sphinx.ext.autodoc import MethodDocumenter, Documenter path = os.path.join('..', '..') sys.path.insert(0, os.path.abspath(path)) # -- Project information ----------------------------------------------------- project = 'EvalML' copyright = '2020, Alteryx, Inc.' author = 'Alteryx, Inc.' # The short X.Y version version = evalml.__version__ # The full version, including alpha/beta/rc tags release = evalml.__version__ # -- General configuration --------------------------------------------------- # If your documentation needs a minimal Sphinx version, state it here. # # needs_sphinx = '1.0' # Add any Sphinx extension module names here, as strings. They can be # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom # ones. extensions = [ 'nbsphinx', 'sphinx.ext.autodoc', 'sphinx.ext.autosummary', 'sphinx.ext.napoleon', 'sphinx.ext.viewcode', 'sphinx.ext.extlinks', 'sphinx.ext.graphviz', 'sphinx.ext.inheritance_diagram' ] # Add any paths that contain templates here, relative to this directory. templates_path = ['_templates'] # The suffix(es) of source filenames. # You can specify multiple suffix as a list of string: # # source_suffix = ['.rst', '.md'] source_suffix = '.rst' # The main toctree document. master_doc = 'index' # The language for content autogenerated by Sphinx. Refer to documentation # for a list of supported languages. # # This is also used if you do content translation via gettext catalogs. # Usually you set "language" from the command line for these cases. language = None # List of patterns, relative to source directory, that match files and # directories to ignore when looking for source files. # This pattern also affects html_static_path and html_extra_path. exclude_patterns = ['**.ipynb_checkpoints'] # The name of the Pygments (syntax highlighting) style to use. pygments_style = None # -- Options for HTML output ------------------------------------------------- # The theme to use for HTML and HTML Help pages. See the documentation for # a list of builtin themes. # html_theme = "pydata_sphinx_theme" # Theme options are theme-specific and customize the look and feel of a theme # further. For a list of options available for each theme, see the # documentation. # # html_theme_options = {} # The name of an image file (relative to this directory) to place at the top # of the sidebar. html_logo = "images/evalml_horizontal.svg" # The name of an image file (relative to this directory) to use as a favicon of # the docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32 # pixels large. html_favicon = "images/favicon.ico" # Add any paths that contain custom static files (such as style sheets) here, # relative to this directory. They are copied after the builtin static files, # so a file named "default.css" will overwrite the builtin "default.css". html_static_path = ['_static'] # Custom sidebar templates, must be a dictionary that maps document names # to template names. # # The default sidebars (for documents that don't match any pattern) are # defined by theme itself. Builtin themes are using these templates by # default: ``['localtoc.html', 'relations.html', 'sourcelink.html', # 'searchbox.html']``. # # html_sidebars = {} # -- Options for HTMLHelp output --------------------------------------------- # Output file base name for HTML help builder. htmlhelp_basename = 'EvalMLdoc' # -- Options for LaTeX output ------------------------------------------------ latex_elements = { # The paper size ('letterpaper' or 'a4paper'). # # 'papersize': 'letterpaper', # The font size ('10pt', '11pt' or '12pt'). # # 'pointsize': '10pt', # Additional stuff for the LaTeX preamble. # # 'preamble': '', # Latex figure (float) alignment # # 'figure_align': 'htbp', } # Grouping the document tree into LaTeX files. List of tuples # (source start file, target name, title, # author, documentclass [howto, manual, or own class]). latex_documents = [ (master_doc, 'EvalML.tex', 'EvalML Documentation', author, 'manual'), ] # -- Options for manual page output ------------------------------------------ # One entry per manual page. List of tuples # (source start file, name, description, authors, manual section). man_pages = [ (master_doc, 'evalml', 'EvalML Documentation', [author], 1) ] # -- Options for Texinfo output ---------------------------------------------- # Grouping the document tree into Texinfo files. List of tuples # (source start file, target name, title, author, # dir menu entry, description, category) texinfo_documents = [ (master_doc, 'EvalML', 'EvalML Documentation', author, 'EvalML', 'One line description of project.', 'Miscellaneous'), ] # -- Options for Epub output ------------------------------------------------- # Bibliographic Dublin Core info. epub_title = project # The unique identifier of the text. This can be a ISBN number # or the project homepage. # # epub_identifier = '' # A unique identification for the text. # # epub_uid = '' # A list of files that should not be packed into the epub file. epub_exclude_files = ['search.html'] # -- Extension configuration ------------------------------------------------- # If evalml is open-sourced: replace github specific style.css extlinks = { 'issue': ('https://github.com/alteryx/evalml/issues/%s', '#'), 'pr': ('https://github.com/alteryx/evalml/pull/%s', '#'), 'user': ('https://github.com/%s', '@') } autosummary_generate = ["api_reference.rst"] templates_path = ["_templates"] html_show_sphinx = False nbsphinx_execute = 'always' nbsphinx_timeout = 600 # sphinx defaults each cell to 30 seconds so we need to override here inheritance_graph_attrs = dict(rankdir="TB", dpi=192.0, ranksep=0.02) inheritance_node_attrs = dict(fontsize=6, height=0.15, width=5, fixedsize=True) inheritance_edge_attrs = dict(arrowsize=0.1) class AccessorLevelDocumenter(Documenter): """ Documenter subclass for objects on accessor level (methods, attributes). Referenced pandas-sphinx-theme (https://github.com/pandas-dev/pandas-sphinx-theme) and sphinx-doc (https://github.com/sphinx-doc/sphinx/blob/8c7faed6fcbc6b7d40f497698cb80fc10aee1ab3/sphinx/ext/autodoc/__init__.py#L846) """ def resolve_name(self, modname, parents, path, base): modname = 'evalml' mod_cls = path.rstrip('.') mod_cls = mod_cls.split('.') return modname, mod_cls + [base] class AccessorCallableDocumenter(AccessorLevelDocumenter, MethodDocumenter): """ This documenter lets us removes .__call__ from the method signature for callable accessors like Series.plot """ objtype = "accessorcallable" directivetype = "method" # lower than MethodDocumenter; otherwise the doc build prints warnings priority = 0.5 def format_name(self): return MethodDocumenter.format_name(self).rstrip(".__call__") class AccessorMethodDocumenter(AccessorLevelDocumenter, MethodDocumenter): objtype = 'accessormethod' directivetype = 'method' # lower than MethodDocumenter so this is not chosen for normal methods priority = 0.6 def setup(app): app.add_javascript('https://cdnjs.cloudflare.com/ajax/libs/require.js/2.1.10/require.min.js') app.add_stylesheet("style.css") app.add_autodocumenter(AccessorCallableDocumenter) app.add_autodocumenter(AccessorMethodDocumenter) ########################################################################### # auto-created readthedocs.org specific configuration # ########################################################################### # # The following code was added during an automated build on readthedocs.org # It is auto created and injected for every build. The result is based on the # conf.py.tmpl file found in the readthedocs.org codebase: # https://github.com/rtfd/readthedocs.org/blob/master/readthedocs/doc_builder/templates/doc_builder/conf.py.tmpl # import importlib import sys import os.path from six import string_types from sphinx import version_info # Get suffix for proper linking to GitHub # This is deprecated in Sphinx 1.3+, # as each page can have its own suffix if globals().get('source_suffix', False): if isinstance(source_suffix, string_types): SUFFIX = source_suffix elif isinstance(source_suffix, (list, tuple)): # Sphinx >= 1.3 supports list/tuple to define multiple suffixes SUFFIX = source_suffix[0] elif isinstance(source_suffix, dict): # Sphinx >= 1.8 supports a mapping dictionary for multiple suffixes SUFFIX = list(source_suffix.keys())[0] # make a ``list()`` for py2/py3 compatibility else: # default to .rst SUFFIX = '.rst' else: SUFFIX = '.rst' # Add RTD Static Path. Add to the end because it overwrites previous files. if not 'html_static_path' in globals(): html_static_path = [] if os.path.exists('_static'): html_static_path.append('_static') # Add RTD Theme only if they aren't overriding it already using_rtd_theme = ( ( 'html_theme' in globals() and html_theme in ['default'] and # Allow people to bail with a hack of having an html_style 'html_style' not in globals() ) or 'html_theme' not in globals() ) if using_rtd_theme: theme = importlib.import_module('sphinx_rtd_theme') html_theme = 'sphinx_rtd_theme' html_style = None html_theme_options = {} if 'html_theme_path' in globals(): html_theme_path.append(theme.get_html_theme_path()) else: html_theme_path = [theme.get_html_theme_path()] if globals().get('websupport2_base_url', False): websupport2_base_url = 'https://readthedocs.com/websupport' websupport2_static_url = 'https://assets.readthedocs.com/' #Add project information to the template context. context = { 'using_theme': using_rtd_theme, 'html_theme': html_theme, 'current_version': "latest", 'version_slug': "latest", 'MEDIA_URL': "https://media.readthedocs.com/media/", 'STATIC_URL': "https://assets.readthedocs.com/", 'PRODUCTION_DOMAIN': "readthedocs.com", 'versions': [ ("latest", "/en/latest/"), ("stable", "/en/stable/"), ("v0.17.0", "/en/v0.17.0/"), ("v0.16.1", "/en/v0.16.1/"), ("v0.16.0", "/en/v0.16.0/"), ("v0.15.0", "/en/v0.15.0/"), ("v0.14.1", "/en/v0.14.1/"), ("v0.13.2", "/en/v0.13.2/"), ("v0.13.1", "/en/v0.13.1/"), ("v0.12.2", "/en/v0.12.2/"), ("v0.12.0", "/en/v0.12.0/"), ("v0.11.2", "/en/v0.11.2/"), ("v0.11.0", "/en/v0.11.0/"), ("v0.10.0", "/en/v0.10.0/"), ("v0.9.0", "/en/v0.9.0/"), ("v0.8.0", "/en/v0.8.0/"), ("v0.7.0", "/en/v0.7.0/"), ("v0.6.0", "/en/v0.6.0/"), ("v0.5.2", "/en/v0.5.2/"), ("v0.5.1", "/en/v0.5.1/"), ], 'downloads': [ ("pdf", "//evalml.alteryx.com/_/downloads/en/latest/pdf/"), ], 'subprojects': [ ], 'slug': 'feature-labs-inc-evalml', 'name': u'EvalML', 'rtd_language': u'en', 'programming_language': u'words', 'canonical_url': 'https://evalml.alteryx.com/en/stable/', 'analytics_code': 'UA-64679566-12', 'single_version': False, 'conf_py_path': '/docs/source/', 'api_host': 'https://readthedocs.com', 'github_user': 'alteryx', 'proxied_api_host': '/_', 'github_repo': 'evalml', 'github_version': 'main', 'display_github': True, 'bitbucket_user': 'None', 'bitbucket_repo': 'None', 'bitbucket_version': 'main', 'display_bitbucket': False, 'gitlab_user': 'None', 'gitlab_repo': 'None', 'gitlab_version': 'main', 'display_gitlab': False, 'READTHEDOCS': True, 'using_theme': (html_theme == "default"), 'new_theme': (html_theme == "sphinx_rtd_theme"), 'source_suffix': SUFFIX, 'ad_free': False, 'docsearch_disabled': False, 'user_analytics_code': 'UA-64679566-12', 'global_analytics_code': 'UA-17997319-2', 'commit': '51cba3fa', } # 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/535933/' project_language = 'en' # User's Sphinx configurations language_user = globals().get('language', None) latex_engine_user = globals().get('latex_engine', None) latex_elements_user = globals().get('latex_elements', None) # Remove this once xindy gets installed in Docker image and XINDYOPS # env variable is supported # https://github.com/rtfd/readthedocs-docker-images/pull/98 latex_use_xindy = False chinese = any([ language_user in ('zh_CN', 'zh_TW'), project_language in ('zh_CN', 'zh_TW'), ]) japanese = any([ language_user == 'ja', project_language == 'ja', ]) if chinese: latex_engine = latex_engine_user or 'xelatex' latex_elements_rtd = { 'preamble': '\\usepackage[UTF8]{ctex}\n', } latex_elements = latex_elements_user or latex_elements_rtd elif japanese: latex_engine = latex_engine_user or 'platex' # Make sure our build directory is always excluded exclude_patterns = globals().get('exclude_patterns', []) exclude_patterns.extend(['_build']) [rtd-command-info] start-time: 2021-01-19T22:14:52.036541Z, end-time: 2021-01-19T22:26:27.951884Z, duration: 695, exit-code: 0 python sphinx-build -T -E -W --keep-going -b readthedocs -d _build/doctrees-readthedocs -D language=en . _build/html Running Sphinx v3.4.3 Matplotlib is building the font cache; this may take a moment. loading translations [en]... done making output directory... done [autosummary] generating autosummary for: api_reference.rst [autosummary] generating autosummary for: /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.AutoMLSearch.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.automl_algorithm.AutoMLAlgorithm.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.automl_algorithm.IterativeAlgorithm.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.callbacks.log_and_save_error_callback.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.callbacks.log_error_callback.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.callbacks.raise_and_save_error_callback.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.callbacks.raise_error_callback.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.callbacks.silent_error_callback.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.get_default_primary_search_objective.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.make_data_splitter.rst, ..., /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.tuners.RandomSearchTuner.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.tuners.SKOptTuner.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.tuners.Tuner.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.convert_to_seconds.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.drop_rows_with_nans.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.get_random_seed.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.get_random_state.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.import_or_raise.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.infer_feature_types.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.pad_with_nans.rst [autosummary] generating autosummary for: /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.add_to_rankings.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.describe_pipeline.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.get_pipeline.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.load.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.save.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.search.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.add_result.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.next_batch.rst, ..., /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.RandomSearchTuner.is_search_space_exhausted.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.RandomSearchTuner.propose.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.SKOptTuner.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.SKOptTuner.add.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.SKOptTuner.is_search_space_exhausted.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.SKOptTuner.propose.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.Tuner.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.Tuner.add.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.Tuner.is_search_space_exhausted.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.Tuner.propose.rst building [mo]: targets for 0 po files that are out of date building [readthedocs]: targets for 19 source files that are out of date updating environment: [new config] 1055 added, 0 changed, 0 removed reading sources... [ 0%] api_reference reading sources... [ 0%] demos/cost_benefit_matrix [LightGBM] [Fatal] Check failed: (best_split_info.right_count) > (0) at /__w/1/s/python-package/compile/src/treelearner/serial_tree_learner.cpp, line 661 . 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[rtd-command-info] start-time: 2021-01-19T22:26:28.555785Z, end-time: 2021-01-19T22:35:12.835554Z, duration: 524, exit-code: 0 python sphinx-build -b latex -D language=en -d _build/doctrees . _build/latex Running Sphinx v3.4.3 loading translations [en]... done making output directory... done [autosummary] generating autosummary for: api_reference.rst building [mo]: targets for 0 po files that are out of date building [latex]: all documents updating environment: [new config] 1055 added, 0 changed, 0 removed reading sources... [ 0%] api_reference reading sources... [ 0%] demos/cost_benefit_matrix [LightGBM] [Fatal] Check failed: (best_split_info.right_count) > (0) at /__w/1/s/python-package/compile/src/treelearner/serial_tree_learner.cpp, line 661 . [LightGBM] [Fatal] Check failed: (best_split_info.right_count) > (0) at /__w/1/s/python-package/compile/src/treelearner/serial_tree_learner.cpp, line 661 . /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages/joblib/externals/loky/backend/resource_tracker.py:303: UserWarning: resource_tracker: /tmp/joblib_memmapping_folder_6655_d7835269b4e54c55a018a4ebef87419c_fb4f1bef4f01407c9e5a891bf30deda7/6655-139779028301136-84f339581880441cb4cbb1d5fb00c069.pkl: FileNotFoundError(2, 'No such file or directory') warnings.warn( /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages/joblib/externals/loky/backend/resource_tracker.py:303: UserWarning: resource_tracker: /tmp/joblib_memmapping_folder_6655_d7835269b4e54c55a018a4ebef87419c_bf325b91ac284e4eb2453ec31521f36e/6655-139779028301136-95819000efc84bde9502645040f23f04.pkl: FileNotFoundError(2, 'No such file or directory') warnings.warn( /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages/joblib/externals/loky/backend/resource_tracker.py:303: UserWarning: resource_tracker: /tmp/joblib_memmapping_folder_6655_d7835269b4e54c55a018a4ebef87419c_645084d57c384c8f8f476b9d1f934e92/6655-139779028301136-dd46bc415f6c47de8554b3f083c93c7d.pkl: FileNotFoundError(2, 'No such file or directory') warnings.warn( /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages/joblib/externals/loky/backend/resource_tracker.py:303: UserWarning: resource_tracker: /tmp/joblib_memmapping_folder_6655_d7835269b4e54c55a018a4ebef87419c_e1d712fcbef24dc39632f04a6d70f637/6655-139779028301136-a58259b0a2204886b49bc69abcaa8df3.pkl: FileNotFoundError(2, 'No such file or directory') warnings.warn( /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages/joblib/externals/loky/backend/resource_tracker.py:303: UserWarning: resource_tracker: /tmp/joblib_memmapping_folder_6655_d7835269b4e54c55a018a4ebef87419c_67b8707f37ab423fb3dd780c0926dbde/6655-139779028301136-674e05611b344a39a7cfafd352813f21.pkl: FileNotFoundError(2, 'No such file or directory') warnings.warn( /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages/joblib/externals/loky/backend/resource_tracker.py:303: UserWarning: resource_tracker: /tmp/joblib_memmapping_folder_6655_d7835269b4e54c55a018a4ebef87419c_e13fe60a9e734b61a7a739058cc8cd93/6655-139779028301136-f237158c122443c3b62c4b6e94017050.pkl: FileNotFoundError(2, 'No such file or directory') warnings.warn( reading sources... 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[ 98%] index reading sources... [ 98%] install reading sources... [ 98%] release_notes reading sources... [ 99%] start reading sources... [ 99%] tutorials reading sources... [ 99%] user_guide reading sources... [ 99%] user_guide/automl reading sources... [ 99%] user_guide/components reading sources... [ 99%] user_guide/data_checks reading sources... [ 99%] user_guide/faq reading sources... [ 99%] user_guide/model_understanding reading sources... [ 99%] user_guide/objectives reading sources... [ 99%] user_guide/pipelines reading sources... [100%] user_guide/utilities looking for now-outdated files... none found pickling environment... done checking consistency... done processing EvalML.tex... index install start tutorials demos/fraud demos/lead_scoring demos/cost_benefit_matrix demos/text_input user_guide user_guide/automl user_guide/objectives user_guide/components user_guide/pipelines user_guide/model_understanding user_guide/data_checks user_guide/utilities user_guide/faq api_reference generated/evalml.demos.load_fraud generated/evalml.demos.load_wine generated/evalml.demos.load_breast_cancer generated/evalml.demos.load_diabetes generated/evalml.demos.load_churn generated/evalml.preprocessing.load_data generated/evalml.preprocessing.drop_nan_target_rows generated/evalml.preprocessing.target_distribution generated/evalml.preprocessing.number_of_features generated/evalml.preprocessing.split_data generated/evalml.automl.AutoMLSearch generated/methods/evalml.automl.AutoMLSearch.__init__ generated/methods/evalml.automl.AutoMLSearch.add_to_rankings generated/methods/evalml.automl.AutoMLSearch.describe_pipeline generated/methods/evalml.automl.AutoMLSearch.get_pipeline generated/methods/evalml.automl.AutoMLSearch.load generated/methods/evalml.automl.AutoMLSearch.save generated/methods/evalml.automl.AutoMLSearch.search generated/evalml.automl.get_default_primary_search_objective generated/evalml.automl.make_data_splitter generated/evalml.automl.automl_algorithm.AutoMLAlgorithm generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.__init__ generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.add_result generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.next_batch generated/evalml.automl.automl_algorithm.IterativeAlgorithm generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.__init__ generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.add_result generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.next_batch generated/evalml.automl.callbacks.silent_error_callback generated/evalml.automl.callbacks.log_error_callback generated/evalml.automl.callbacks.raise_error_callback generated/evalml.automl.callbacks.log_and_save_error_callback generated/evalml.automl.callbacks.raise_and_save_error_callback generated/evalml.pipelines.PipelineBase generated/methods/evalml.pipelines.PipelineBase.__init__ generated/methods/evalml.pipelines.PipelineBase.clone generated/methods/evalml.pipelines.PipelineBase.compute_estimator_features generated/methods/evalml.pipelines.PipelineBase.describe generated/methods/evalml.pipelines.PipelineBase.fit generated/methods/evalml.pipelines.PipelineBase.get_component generated/methods/evalml.pipelines.PipelineBase.graph generated/methods/evalml.pipelines.PipelineBase.graph_feature_importance generated/methods/evalml.pipelines.PipelineBase.load generated/methods/evalml.pipelines.PipelineBase.predict generated/methods/evalml.pipelines.PipelineBase.save generated/methods/evalml.pipelines.PipelineBase.score generated/evalml.pipelines.ClassificationPipeline generated/methods/evalml.pipelines.ClassificationPipeline.__init__ generated/methods/evalml.pipelines.ClassificationPipeline.clone generated/methods/evalml.pipelines.ClassificationPipeline.compute_estimator_features generated/methods/evalml.pipelines.ClassificationPipeline.describe generated/methods/evalml.pipelines.ClassificationPipeline.fit generated/methods/evalml.pipelines.ClassificationPipeline.get_component generated/methods/evalml.pipelines.ClassificationPipeline.graph generated/methods/evalml.pipelines.ClassificationPipeline.graph_feature_importance generated/methods/evalml.pipelines.ClassificationPipeline.load generated/methods/evalml.pipelines.ClassificationPipeline.predict generated/methods/evalml.pipelines.ClassificationPipeline.predict_proba generated/methods/evalml.pipelines.ClassificationPipeline.save generated/methods/evalml.pipelines.ClassificationPipeline.score generated/evalml.pipelines.BinaryClassificationPipeline generated/methods/evalml.pipelines.BinaryClassificationPipeline.__init__ generated/methods/evalml.pipelines.BinaryClassificationPipeline.clone generated/methods/evalml.pipelines.BinaryClassificationPipeline.compute_estimator_features generated/methods/evalml.pipelines.BinaryClassificationPipeline.describe generated/methods/evalml.pipelines.BinaryClassificationPipeline.fit generated/methods/evalml.pipelines.BinaryClassificationPipeline.get_component generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph_feature_importance generated/methods/evalml.pipelines.BinaryClassificationPipeline.load generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict_proba generated/methods/evalml.pipelines.BinaryClassificationPipeline.save generated/methods/evalml.pipelines.BinaryClassificationPipeline.score generated/evalml.pipelines.MulticlassClassificationPipeline generated/methods/evalml.pipelines.MulticlassClassificationPipeline.__init__ generated/methods/evalml.pipelines.MulticlassClassificationPipeline.clone generated/methods/evalml.pipelines.MulticlassClassificationPipeline.compute_estimator_features generated/methods/evalml.pipelines.MulticlassClassificationPipeline.describe generated/methods/evalml.pipelines.MulticlassClassificationPipeline.fit generated/methods/evalml.pipelines.MulticlassClassificationPipeline.get_component generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph_feature_importance generated/methods/evalml.pipelines.MulticlassClassificationPipeline.load generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict_proba generated/methods/evalml.pipelines.MulticlassClassificationPipeline.save generated/methods/evalml.pipelines.MulticlassClassificationPipeline.score generated/evalml.pipelines.RegressionPipeline generated/methods/evalml.pipelines.RegressionPipeline.__init__ generated/methods/evalml.pipelines.RegressionPipeline.clone generated/methods/evalml.pipelines.RegressionPipeline.compute_estimator_features generated/methods/evalml.pipelines.RegressionPipeline.describe generated/methods/evalml.pipelines.RegressionPipeline.fit generated/methods/evalml.pipelines.RegressionPipeline.get_component generated/methods/evalml.pipelines.RegressionPipeline.graph generated/methods/evalml.pipelines.RegressionPipeline.graph_feature_importance generated/methods/evalml.pipelines.RegressionPipeline.load generated/methods/evalml.pipelines.RegressionPipeline.predict generated/methods/evalml.pipelines.RegressionPipeline.save generated/methods/evalml.pipelines.RegressionPipeline.score generated/evalml.pipelines.TimeSeriesClassificationPipeline generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.__init__ generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.clone generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.compute_estimator_features generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.describe generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.fit generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.get_component generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.graph generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.graph_feature_importance generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.load generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.predict generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.predict_proba generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.save generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.score generated/evalml.pipelines.TimeSeriesBinaryClassificationPipeline generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.__init__ generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.clone generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.compute_estimator_features generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.describe generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.fit generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.get_component generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.graph generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.graph_feature_importance generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.load generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.predict generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.predict_proba generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.save generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.score generated/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.__init__ generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.clone generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.compute_estimator_features generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.describe generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.fit generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.get_component generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.graph generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.graph_feature_importance generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.load generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.predict generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.predict_proba generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.save generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.score generated/evalml.pipelines.TimeSeriesRegressionPipeline generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.__init__ generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.clone generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.compute_estimator_features generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.describe generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.fit generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.get_component generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.graph generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.graph_feature_importance generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.load generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.predict generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.save generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.score generated/evalml.pipelines.BaselineBinaryPipeline generated/methods/evalml.pipelines.BaselineBinaryPipeline.__init__ generated/methods/evalml.pipelines.BaselineBinaryPipeline.clone generated/methods/evalml.pipelines.BaselineBinaryPipeline.compute_estimator_features generated/methods/evalml.pipelines.BaselineBinaryPipeline.describe generated/methods/evalml.pipelines.BaselineBinaryPipeline.fit generated/methods/evalml.pipelines.BaselineBinaryPipeline.get_component generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph_feature_importance generated/methods/evalml.pipelines.BaselineBinaryPipeline.load generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict_proba generated/methods/evalml.pipelines.BaselineBinaryPipeline.save generated/methods/evalml.pipelines.BaselineBinaryPipeline.score generated/evalml.pipelines.BaselineMulticlassPipeline generated/methods/evalml.pipelines.BaselineMulticlassPipeline.__init__ generated/methods/evalml.pipelines.BaselineMulticlassPipeline.clone generated/methods/evalml.pipelines.BaselineMulticlassPipeline.compute_estimator_features generated/methods/evalml.pipelines.BaselineMulticlassPipeline.describe generated/methods/evalml.pipelines.BaselineMulticlassPipeline.fit generated/methods/evalml.pipelines.BaselineMulticlassPipeline.get_component generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph_feature_importance generated/methods/evalml.pipelines.BaselineMulticlassPipeline.load generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict_proba generated/methods/evalml.pipelines.BaselineMulticlassPipeline.save generated/methods/evalml.pipelines.BaselineMulticlassPipeline.score generated/evalml.pipelines.ModeBaselineBinaryPipeline generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.__init__ generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.clone generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.compute_estimator_features generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.describe generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.fit generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.get_component generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph_feature_importance generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.load generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict_proba generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.save generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.score generated/evalml.pipelines.ModeBaselineMulticlassPipeline generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.__init__ generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.clone generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.compute_estimator_features generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.describe generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.fit generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.get_component generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph_feature_importance generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.load generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict_proba generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.save generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.score generated/evalml.pipelines.BaselineRegressionPipeline generated/methods/evalml.pipelines.BaselineRegressionPipeline.__init__ generated/methods/evalml.pipelines.BaselineRegressionPipeline.clone generated/methods/evalml.pipelines.BaselineRegressionPipeline.compute_estimator_features generated/methods/evalml.pipelines.BaselineRegressionPipeline.describe generated/methods/evalml.pipelines.BaselineRegressionPipeline.fit generated/methods/evalml.pipelines.BaselineRegressionPipeline.get_component generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph_feature_importance generated/methods/evalml.pipelines.BaselineRegressionPipeline.load generated/methods/evalml.pipelines.BaselineRegressionPipeline.predict generated/methods/evalml.pipelines.BaselineRegressionPipeline.save generated/methods/evalml.pipelines.BaselineRegressionPipeline.score generated/evalml.pipelines.MeanBaselineRegressionPipeline generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.__init__ generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.clone generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.compute_estimator_features generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.describe generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.fit generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.get_component generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph_feature_importance generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.load generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.predict generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.save generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.score generated/evalml.pipelines.TimeSeriesBaselineRegressionPipeline generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.__init__ generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.clone generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.compute_estimator_features generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.describe generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.fit generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.get_component generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.graph generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.graph_feature_importance generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.load generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.predict generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.save generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.score generated/evalml.pipelines.utils.make_pipeline generated/evalml.pipelines.utils.make_pipeline_from_components generated/evalml.pipelines.utils.generate_pipeline_code generated/evalml.pipelines.components.ComponentBase generated/methods/evalml.pipelines.components.ComponentBase.__init__ generated/methods/evalml.pipelines.components.ComponentBase.clone generated/methods/evalml.pipelines.components.ComponentBase.describe generated/methods/evalml.pipelines.components.ComponentBase.fit generated/methods/evalml.pipelines.components.ComponentBase.load generated/methods/evalml.pipelines.components.ComponentBase.save generated/evalml.pipelines.components.Transformer generated/methods/evalml.pipelines.components.Transformer.__init__ generated/methods/evalml.pipelines.components.Transformer.clone generated/methods/evalml.pipelines.components.Transformer.describe generated/methods/evalml.pipelines.components.Transformer.fit generated/methods/evalml.pipelines.components.Transformer.fit_transform generated/methods/evalml.pipelines.components.Transformer.load generated/methods/evalml.pipelines.components.Transformer.save generated/methods/evalml.pipelines.components.Transformer.transform generated/evalml.pipelines.components.Estimator generated/methods/evalml.pipelines.components.Estimator.__init__ generated/methods/evalml.pipelines.components.Estimator.clone generated/methods/evalml.pipelines.components.Estimator.describe generated/methods/evalml.pipelines.components.Estimator.fit generated/methods/evalml.pipelines.components.Estimator.load generated/methods/evalml.pipelines.components.Estimator.predict generated/methods/evalml.pipelines.components.Estimator.predict_proba generated/methods/evalml.pipelines.components.Estimator.save generated/evalml.pipelines.components.utils.allowed_model_families generated/evalml.pipelines.components.utils.get_estimators generated/evalml.pipelines.components.utils.generate_component_code generated/evalml.pipelines.components.DropColumns generated/methods/evalml.pipelines.components.DropColumns.__init__ generated/methods/evalml.pipelines.components.DropColumns.clone generated/methods/evalml.pipelines.components.DropColumns.describe generated/methods/evalml.pipelines.components.DropColumns.fit generated/methods/evalml.pipelines.components.DropColumns.fit_transform generated/methods/evalml.pipelines.components.DropColumns.load generated/methods/evalml.pipelines.components.DropColumns.save generated/methods/evalml.pipelines.components.DropColumns.transform generated/evalml.pipelines.components.SelectColumns generated/methods/evalml.pipelines.components.SelectColumns.__init__ generated/methods/evalml.pipelines.components.SelectColumns.clone generated/methods/evalml.pipelines.components.SelectColumns.describe generated/methods/evalml.pipelines.components.SelectColumns.fit generated/methods/evalml.pipelines.components.SelectColumns.fit_transform generated/methods/evalml.pipelines.components.SelectColumns.load generated/methods/evalml.pipelines.components.SelectColumns.save generated/methods/evalml.pipelines.components.SelectColumns.transform generated/evalml.pipelines.components.OneHotEncoder generated/methods/evalml.pipelines.components.OneHotEncoder.__init__ generated/methods/evalml.pipelines.components.OneHotEncoder.categories generated/methods/evalml.pipelines.components.OneHotEncoder.clone generated/methods/evalml.pipelines.components.OneHotEncoder.describe generated/methods/evalml.pipelines.components.OneHotEncoder.fit generated/methods/evalml.pipelines.components.OneHotEncoder.fit_transform generated/methods/evalml.pipelines.components.OneHotEncoder.get_feature_names generated/methods/evalml.pipelines.components.OneHotEncoder.load generated/methods/evalml.pipelines.components.OneHotEncoder.save generated/methods/evalml.pipelines.components.OneHotEncoder.transform generated/evalml.pipelines.components.TargetEncoder generated/methods/evalml.pipelines.components.TargetEncoder.__init__ generated/methods/evalml.pipelines.components.TargetEncoder.clone generated/methods/evalml.pipelines.components.TargetEncoder.describe generated/methods/evalml.pipelines.components.TargetEncoder.fit generated/methods/evalml.pipelines.components.TargetEncoder.fit_transform generated/methods/evalml.pipelines.components.TargetEncoder.get_feature_names generated/methods/evalml.pipelines.components.TargetEncoder.load generated/methods/evalml.pipelines.components.TargetEncoder.save generated/methods/evalml.pipelines.components.TargetEncoder.transform generated/evalml.pipelines.components.PerColumnImputer generated/methods/evalml.pipelines.components.PerColumnImputer.__init__ generated/methods/evalml.pipelines.components.PerColumnImputer.clone generated/methods/evalml.pipelines.components.PerColumnImputer.describe generated/methods/evalml.pipelines.components.PerColumnImputer.fit generated/methods/evalml.pipelines.components.PerColumnImputer.fit_transform generated/methods/evalml.pipelines.components.PerColumnImputer.load generated/methods/evalml.pipelines.components.PerColumnImputer.save generated/methods/evalml.pipelines.components.PerColumnImputer.transform generated/evalml.pipelines.components.Imputer generated/methods/evalml.pipelines.components.Imputer.__init__ generated/methods/evalml.pipelines.components.Imputer.clone generated/methods/evalml.pipelines.components.Imputer.describe generated/methods/evalml.pipelines.components.Imputer.fit generated/methods/evalml.pipelines.components.Imputer.fit_transform generated/methods/evalml.pipelines.components.Imputer.load generated/methods/evalml.pipelines.components.Imputer.save generated/methods/evalml.pipelines.components.Imputer.transform generated/evalml.pipelines.components.SimpleImputer generated/methods/evalml.pipelines.components.SimpleImputer.__init__ generated/methods/evalml.pipelines.components.SimpleImputer.clone 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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 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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 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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 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WARNING: Missing searchtools: /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/_build/latex/_static/searchtools.js [rtd-command-info] start-time: 2021-01-19T22:35:13.463141Z, end-time: 2021-01-19T22:35:13.525843Z, duration: 0, exit-code: 0 cat latexmkrc $latex = 'latex ' . $ENV{'LATEXOPTS'} . ' %O %S'; $pdflatex = 'pdflatex ' . $ENV{'LATEXOPTS'} . ' %O %S'; $lualatex = 'lualatex ' . $ENV{'LATEXOPTS'} . ' %O %S'; $xelatex = 'xelatex --no-pdf ' . $ENV{'LATEXOPTS'} . ' %O %S'; $makeindex = 'makeindex -s python.ist %O -o %D %S'; add_cus_dep( "glo", "gls", 0, "makeglo" ); sub makeglo { return system( "makeindex -s gglo.ist -o '$_[0].gls' '$_[0].glo'" ); } [rtd-command-info] start-time: 2021-01-19T22:35:13.847689Z, end-time: 2021-01-19T22:35:26.255330Z, duration: 12, exit-code: 0 latexmk -r latexmkrc -pdf -f -dvi- -ps- -jobname=feature-labs-inc-evalml -interaction=nonstopmode ... (truncated) ... Command output too long. 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[7] [8] [9] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.728 ...ght=2080\sphinxpxdimen]{{start_23_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.728 ...ght=2080\sphinxpxdimen]{{start_23_0}.svg} [10] Chapter 3. [11] [12] [13] [14] [15] [16] [17] [18] Underfull \hbox (badness 10000) in paragraph at lines 1496--1497 []\T1/ptm/m/n/10 Because the lead scor-ing la-bels are bi-nary, we will use \T1 /pcr/m/n/10 AutoMLSearch(X_train=X_train, [19] [20] [21] [22] [23] [24] LaTeX Warning: Hyper reference `user_guide/model_understanding::doc' on page 25 undefined on input line 1982. 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Type H for immediate help. ... l.3047 ...inxpxdimen]{{demos_text_input_32_0}.svg} [37] [38] Chapter 4. [39] [40] LaTeX Warning: Hyper reference `generated/evalml.automl.AutoMLSearch::doc' on p age 41 undefined on input line 3313. [41] Underfull \hbox (badness 10000) in paragraph at lines 3354--3355 []\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 Warning: Hyper reference `user_guide/pipelines::doc' on page 43 undefined on input line 3397. ! LaTeX Error: Unknown graphics extension: .gif. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3431 ...]{{keyboard_interrupt_demo_updated}.gif} ! LaTeX Error: Unknown graphics extension: .gif. See the LaTeX manual or LaTeX Companion for explanation. 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LaTeX Warning: Hyper reference `generated/evalml.preprocessing.number_of_featur es:evalml.preprocessing.number_of_features' on page 112 undefined on input line 8258. LaTeX Warning: Hyper reference `generated/evalml.preprocessing.split_data:evalm l.preprocessing.split_data' on page 112 undefined on input line 8263. Package longtable Warning: Column widths have changed (longtable) in table 2 on input line 8268. [112] [113] Underfull \hbox (badness 10000) in paragraph at lines 8387--8387 []\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 8392--8393 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.datatable, pd.dataframe o r np.ndarray\T1/ptm/m/n/10 ) ^^U data of shape LaTeX Warning: Hyper reference `generated/evalml.automl.AutoMLSearch:evalml.aut oml.AutoMLSearch' on page 114 undefined on input line 8447. 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[471] Underfull \hbox (badness 10000) in paragraph at lines 44232--44233 []\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 44232--44233 \T1/ptm/m/n/10 tion with \T1/pcr/m/n/10 decision_tree_data_from_estimator \T1/p tm/m/n/10 and Underfull \hbox (badness 10000) in paragraph at lines 44241--44242 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 graph_prediction_vs_actual_over_time \T1/ ptm/m/n/10 and [472] Underfull \hbox (badness 10000) in paragraph at lines 44280--44281 []\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 44289--44290 []\T1/ptm/m/n/10 Update \T1/pcr/m/n/10 AutoMLSearch \T1/ptm/m/n/10 con-struc-to r to take train-ing data in-stead of \T1/pcr/m/n/10 search \T1/ptm/m/n/10 and Underfull \hbox (badness 10000) in paragraph at lines 44307--44308 []\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 [473] Underfull \hbox (badness 10000) in paragraph at lines 44367--44368 []\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. 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[498] (./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 (502 pages, 2087182 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 (1329 entries accepted, 0 rejected). Sorting entries.............done (14719 comparisons). Generating output file feature-labs-inc-evalml.ind.....done (2469 lines written, 0 warnings). Output written in feature-labs-inc-evalml.ind. Transcript written in feature-labs-inc-evalml.ilg. 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[11] [12] [13] [14] [15] [16] [17] [18] Underfull \hbox (badness 10000) in paragraph at lines 1496--1497 []\T1/ptm/m/n/10 Because the lead scor-ing la-bels are bi-nary, we will use \T1 /pcr/m/n/10 AutoMLSearch(X_train=X_train, [19] [20] [21] [22] [23] [24] [25] [26] Overfull \vbox (16.98256pt too high) detected at line 2157 [27] [28] [29] [30] Underfull \hbox (badness 10000) in paragraph at lines 2581--2582 []\T1/ptm/m/n/10 Because the spam/ham la-bels are bi-nary, we will use \T1/pcr/ m/n/10 AutoMLSearch(X_train=X_train, [31] [32] [33] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.2822 ...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.2822 ...inxpxdimen]{{demos_text_input_19_0}.svg} [34] [35] [36] ! LaTeX Error: Unknown graphics extension: .svg. 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[111] [112] [113] Underfull \hbox (badness 10000) in paragraph at lines 8387--8387 []\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 8392--8393 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.datatable, pd.dataframe o r np.ndarray\T1/ptm/m/n/10 ) ^^U data of shape Underfull \hbox (badness 5316) in paragraph at lines 8459--8459 []\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 8459--8459 \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 8459--8459 \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 8459--8459 \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 8459--8459 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=- 1\T1/p tm/m/n/10 , \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ve r- Underfull \hbox (badness 10000) in paragraph at lines 8459--8459 \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 8459--8459 \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 , [114] Underfull \hbox (badness 10000) in paragraph at lines 8523--8523 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_time=No ne\T1/ptm/m/n/10 , \T1/ptm/m/it/10 pa-tience=None\T1/ptm/m/n/10 , \T1/ptm/m/it/ 10 tol-er- Underfull \hbox (badness 10000) in paragraph at lines 8523--8523 \T1/ptm/m/it/10 ance=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 data_splitter=None\T1 /ptm/m/n/10 , \T1/ptm/m/it/10 al-lowed_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m /it/10 al- Underfull \hbox (badness 10000) in paragraph at lines 8523--8523 \T1/ptm/m/it/10 lowed_model_families=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 start _iteration_callback=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8523--8523 \T1/ptm/m/it/10 add_result_callback=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 er-ror _callback=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ad-di- Underfull \hbox (badness 10000) in paragraph at lines 8523--8523 \T1/ptm/m/it/10 tional_objectives=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_ state=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , Underfull \hbox (badness 8170) in paragraph at lines 8523--8523 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ver-bose=True\ T1/ptm/m/n/10 , \T1/ptm/m/it/10 op-ti-mize_thresholds=False\T1/ptm/m/n/10 , \T1 /ptm/m/it/10 en- Underfull \hbox (badness 5802) in paragraph at lines 8523--8523 \T1/ptm/m/it/10 sem-bling=False\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_batches=Non e\T1/ptm/m/n/10 , \T1/ptm/m/it/10 prob-lem_configuration=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8523--8523 \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 , [115] Underfull \hbox (badness 7869) in paragraph at lines 8577--8581 \T1/ptm/m/n/10 i-lies to search. 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index\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [254 <./inheritance-ad9d08a4c1de3fd72ef89849c35b811b37e5f627.pdf>] [255] [256] Underfull \hbox (badness 10000) in paragraph at lines 23250--23250 []\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 23250--23250 \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 23250--23250 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [257 <./inheritance-1a2194a5f84c1cf6d42e86e2c93c638b9bd9d42f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 23404--23404 []\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 23404--23404 \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 , [258] [259] Underfull \hbox (badness 10000) in paragraph at lines 23583--23583 []\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 23583--23583 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23583--23583 \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 , [260 <./inheritance-e87af3aaecba220c1291c71a603ae6bffa4eb8f8.pdf>] [261] [262] Underfull \hbox (badness 10000) in paragraph at lines 23903--23903 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23903--23903 \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 23903--23903 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<./inheritance-10696699a4a9637d6fae1d83042aab80219fd4e7.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 24694--24694 \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 , [270] [271] Underfull \hbox (badness 10000) in paragraph at lines 24873--24873 []\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 24873--24873 \T1/ptm/m/it/10 C=1.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24873--24873 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , Overfull \hbox (10.11395pt too wide) in paragraph at lines 24873--24873 \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 24873--24873 \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 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in paragraph at lines 25193--25193 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25193--25193 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [275 <./inheritance-6ebb88fe8608ee2cbd6a182146f9214b68ccc2ac.pdf>] [276] [277] Underfull \hbox (badness 10000) in paragraph at lines 25523--25523 []\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- [278 <./inheritance-7e535c5b1c9a51233577159360851cea6f489c8b.pdf>] [279] [280] Overfull \hbox (7.27411pt too wide) in paragraph at lines 25861--25861 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25861--25861 \T1/ptm/m/it/10 fi- Overfull \hbox (1.16414pt too wide) in paragraph at lines 25861--25861 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , [281 <./inheritance-8ed6b0880aaf6d309d54b6f404ba2361688fb2b4.pdf>] Underfull \hbox (badness 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ran-dom_state=0\T1/ptm/m/n/ 10 , [288 <./inheritance-e1a8ceaf0ccaac93fe8aeea725d77adc4c84ba2e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 26672--26672 []\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 , [289] [290] [291 <./inheritance-d8b05ca7817ca6ac0072b477b9dd224a8b395583.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 26931--26931 []\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 26931--26931 \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 26931--26931 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [292] Underfull \hbox (badness 10000) in paragraph at lines 27085--27085 []\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 27085--27085 \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 , [293] [294] Underfull \hbox (badness 10000) in paragraph at lines 27264--27264 []\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 27264--27264 \T1/ptm/m/it/10 max_iter=1000\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- Underfull \hbox (badness 5954) in paragraph at lines 27264--27264 \T1/ptm/m/it/10 ize=False\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/pt m/m/n/10 , [295 <./inheritance-60cfa8eedb90e4a053500b64a9415c8942f1be18.pdf>] [296] [297] Underfull \hbox (badness 10000) in paragraph at lines 27584--27584 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\T1/ptm/m/it/10 ran-dom_state=0\T1/p tm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30210--30210 \T1/ptm/m/it/10 bag-ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/10 bag- [323 <./inheritance-cd29f096fd4e093ddd0fc6634c68918845120f9f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 30361--30361 []\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 30361--30361 \T1/ptm/m/it/10 max_depth=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 num_leaves=31\T1/pt m/m/n/10 , \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 6268) in paragraph at lines 30361--30361 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/p tm/m/n/10 , \T1/ptm/m/it/10 bag-ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/ 10 bag- [324] [325] Overfull 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conf_mat\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- [327] Overfull \hbox (137.00916pt too wide) in paragraph at lines 30728--30728 [] Underfull \hbox (badness 10000) in paragraph at lines 30728--30728 Overfull \hbox (12.23114pt too wide) in paragraph at lines 30729--30729 [] Underfull \hbox (badness 10000) in paragraph at lines 30729--30729 Underfull \hbox (badness 10000) in paragraph at lines 30762--30762 \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 30762--30762 \T1/ptm/m/it/10 n_jobs=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [328] Underfull \hbox (badness 10000) in paragraph at lines 30843--30843 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30843--30843 \T1/ptm/m/it/10 X\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y\T1/ptm/m/n/10 , [329] Underfull \hbox (badness 10000) in paragraph at lines 30874--30874 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , \T1/ptm/m/it/10 X\T1/ptm/m/n/10 , \T 1/ptm/m/it/10 fea-ture\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30918--30918 []\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- [330] Underfull \hbox (badness 10000) in paragraph at lines 31053--31053 []\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 31053--31053 \T1/ptm/m/it/10 tom_class_names=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ti- [331] Underfull \hbox (badness 10000) in paragraph at lines 31084--31084 []\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 31084--31084 \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 31097--31098 []\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 31151--31151 []\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 31151--31151 \T1/ptm/m/it/10 y\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ob-jec-tive\T1/ptm/m/n/10 , [332] Underfull \hbox (badness 10000) in paragraph at lines 31185--31185 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_pred\T1/ptm/m/n/10 , \T1/ptm/m/it/10 out- Underfull \hbox (badness 10000) in paragraph at lines 31246--31246 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , \T1/ptm/m/it/10 X\T1/ptm/m/n/10 , \T 1/ptm/m/it/10 fea-ture\T1/ptm/m/n/10 , Underfull \hbox 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Underfull \hbox (badness 10000) in paragraph at lines 40749--40750 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [435 <./inheritance-916d77c801560432abfaac94281797ceebbcf92f.pdf>] [436] Overfull \hbox (42.52957pt too wide) in paragraph at lines 40989--40991 [] [437] [438] [439] [440] [441 <./inheritance-2d0acc37227fb91dac9416b6679bd4d7115 740d9.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 41552--41552 []\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- [442 <./inheritance-b5a4303ed5b7bd7117741f8f0239cfea1ae6394e.pdf>] [443] Underfull \hbox (badness 10000) in paragraph at lines 41710--41710 []\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 41710--41710 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 with_replacement=Fa lse\T1/ptm/m/n/10 , \T1/ptm/m/it/10 re-place- [444 <./inheritance-b5deb59b7f842d0f562005a008ab92d5133372a8.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 41767--41767 []\T1/ptm/m/it/10 pipeline_hyperparameter_ranges\T1/ptm/m/n/10 , \T1/ptm/m/it/1 0 ran-dom_state=0\T1/ptm/m/n/10 , [445] [446 <./inheritance-99c4c76af8cfca7e047aafe881e1f7ec598c1a73.pdf>] [447 <./inheritance-e2dc580ef1d0d49e25cb5b9258d5fa3dc1e6a97c.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 42052--42052 []\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 , [448] [449 <./inheritance-e7b7011bc5aff59955120d9ca51b0974ee589d71.pdf>] [450 <./inheritance-6168d659bcd141e5029a28f0d79ab6ff52635781.pdf>] [451] Underfull \hbox (badness 10000) in paragraph at lines 42460--42460 []\T1/ptm/m/it/10 pct_corr_threshold=0.95\T1/ptm/m/n/10 , [452 <./inheritance-aedc5857da971e52926ca1135dabaf4f3c2a0930.pdf>] [453] [454 <./inheritance-befdd030055cf9307edc84aaf276f9010be2319b.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 42673--42675 []\T1/pcr/b/n/10 random_state \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 int, np.random.Ra ndomState\T1/ptm/m/n/10 ) ^^U The ran-dom [455] [456 <./inheritance-4aa99ce79339b5ec3c40f25751d06acf15ed7551.pdf>] [457 <./inheritance-153c7afc03b6ff68f260e6fd2d8970d40630a287.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 42920--42922 []\T1/ptm/m/n/10 are Underfull \hbox (badness 10000) in paragraph at lines 42947--42949 [] Overfull \hbox (1.78085pt too wide) in paragraph at lines 42963--42965 [] Underfull \vbox (badness 2310) detected at line 42984 Overfull \vbox (24.77956pt too high) detected at line 42984 [458] [459 <./inheritance-d3d83c3534cff229e8dd985bbffc8af962edb41a.pdf>] [460 <./inheritance-2f93f2547117e9489164c49c9a6b371db0a5e6ef.pdf>] [461 <./inhe ritance-538ccb1e6825fe44b0c92a9f5c38f32b3591ec67.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 43282--43282 []\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- [462] [463 <./inheritance-def541bd9c38f804532f39a9c8e6e89a8266c8ee.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 43526--43526 []\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- [464 <./inheritance-372f2201c9ef418fa08c35c00466eb5e630e1fe9.pdf>] [465 <./inhe ritance-bcfcbf129d2c43b7faa05a4619c0926baa7280ce.pdf>] Overfull \hbox (30.22249pt too wide) in paragraph at lines 43818--43819 []|\T1/pcr/m/n/10 TARGET_BINARY_NOT_TWO_EXAMPLES_PER_CLASS| Overfull \hbox (6.22249pt too wide) in paragraph at lines 43848--43849 []|\T1/pcr/m/n/10 TARGET_MULTICLASS_NOT_ENOUGH_CLASSES| [466] [467] [468] Underfull \hbox (badness 10000) in paragraph at lines 44054--44056 [] [469] [470] Chapter 6. [471] Underfull \hbox (badness 10000) in paragraph at lines 44232--44233 []\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 44232--44233 \T1/ptm/m/n/10 tion with \T1/pcr/m/n/10 decision_tree_data_from_estimator \T1/p tm/m/n/10 and Underfull \hbox (badness 10000) in paragraph at lines 44241--44242 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 graph_prediction_vs_actual_over_time \T1/ ptm/m/n/10 and [472] Underfull \hbox (badness 10000) in paragraph at lines 44280--44281 []\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 44289--44290 []\T1/ptm/m/n/10 Update \T1/pcr/m/n/10 AutoMLSearch \T1/ptm/m/n/10 con-struc-to r to take train-ing data in-stead of \T1/pcr/m/n/10 search \T1/ptm/m/n/10 and Underfull \hbox (badness 10000) in paragraph at lines 44307--44308 []\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 [473] Underfull \hbox (badness 10000) in paragraph at lines 44367--44368 []\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 44407--44408 []\T1/ptm/m/n/10 Updated \T1/pcr/m/n/10 AutoMLSearch.best_pipeline \T1/ptm/m/n/ 10 to re-turn a trained pipeline. Pass in Underfull \hbox (badness 10000) in paragraph at lines 44410--44411 []\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 44413--44414 []\T1/ptm/m/n/10 Update \T1/pcr/m/n/10 AutoMLSearch \T1/ptm/m/n/10 con-struc-to r to take train-ing data in-stead of \T1/pcr/m/n/10 search \T1/ptm/m/n/10 and [474] [475] Underfull \hbox (badness 10000) in paragraph at lines 44641--44642 []\T1/ptm/m/n/10 Renamed \T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 to \T1/pcr/ m/n/10 problem_types \T1/ptm/m/n/10 in \T1/pcr/m/n/10 RegressionObjective\T1/pt m/m/n/10 , Underfull \hbox (badness 7777) in paragraph at lines 44641--44642 \T1/pcr/m/n/10 BinaryClassificationObjective\T1/ptm/m/n/10 , and \T1/pcr/m/n/10 MulticlassClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 44655--44656 []\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 , [476] Underfull \hbox (badness 10000) in paragraph at lines 44673--44674 []\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 44688--44689 []\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 [477] Underfull \hbox (badness 10000) in paragraph at lines 44851--44852 []\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 Overfull \vbox (1.02501pt too high) detected at line 44865 [478] Underfull \hbox (badness 10000) in paragraph at lines 44937--44938 []\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 [479] [480] Underfull \hbox (badness 10000) in paragraph at lines 45151--45154 [] [481] [482] [483] Underfull \hbox (badness 10000) in paragraph at lines 45373--45374 []\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 45400--45401 []\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 45403--45404 []\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 45427--45428 []\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. [484] Underfull \hbox (badness 10000) in paragraph at lines 45491--45492 []\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 45535--45536 []\T1/ptm/m/n/10 Deleted static pipelines and refac-tored tests in-volv-ing sta tic pipelines, re-moved [485] Underfull \hbox (badness 10000) in paragraph at lines 45625--45626 []\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 [486] Underfull \hbox (badness 10000) in paragraph at lines 45703--45704 []\T1/ptm/m/n/10 Refactor \T1/pcr/m/n/10 handle_components \T1/ptm/m/n/10 to \T 1/pcr/m/n/10 handle_components_class\T1/ptm/m/n/10 , stan-dard-ize to Underfull \hbox (badness 10000) in paragraph at lines 45709--45710 []\T1/ptm/m/n/10 Replaced \T1/pcr/m/n/10 AutoClassificationSearch \T1/ptm/m/n/1 0 and \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 with Underfull \hbox (badness 10000) in paragraph at lines 45745--45746 []\T1/ptm/m/n/10 Replaced \T1/pcr/m/n/10 AutoClassificationSearch \T1/ptm/m/n/1 0 and \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 with Underfull \hbox (badness 5374) in paragraph at lines 45761--45762 []\T1/ptm/m/n/10 Rename \T1/pcr/m/n/10 handle_component \T1/ptm/m/n/10 to \T1/p cr/m/n/10 handle_component_class\T1/ptm/m/n/10 . Now stan-dard-izes to [487] Underfull \hbox (badness 10000) in paragraph at lines 45847--45848 []\T1/ptm/m/n/10 Updated Au-to-Base with \T1/pcr/m/n/10 data_checks \T1/ptm/m/n /10 pa-ram-e-ter, re-moved pre-vi-ous [488] [489] [490] Underfull \hbox (badness 10000) in paragraph at lines 46084--46085 []\T1/ptm/m/n/10 Renamed \T1/pcr/m/n/10 pipeline.feature_importance_graph \T1/p tm/m/n/10 to \T1/pcr/m/n/10 pipeline. Overfull \hbox (32.69456pt too wide) in paragraph at lines 46090--46091 []\T1/ptm/m/n/10 Renamed \T1/pcr/m/n/10 MultiClassificationObjective \T1/ptm/m/ n/10 to \T1/pcr/m/n/10 MulticlassClassificationObjective\T1/ptm/m/n/10 , [491] Underfull \hbox (badness 10000) in paragraph at lines 46224--46225 []\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. Underfull \hbox (badness 10000) in paragraph at lines 46242--46243 []\T1/ptm/m/n/10 Renamed \T1/pcr/m/n/10 PipelineBase.name \T1/ptm/m/n/10 as \T1 /pcr/m/n/10 PipelineBase.summary \T1/ptm/m/n/10 and re-de-fined [492] Underfull \hbox (badness 10000) in paragraph at lines 46284--46285 []\T1/ptm/m/n/10 Refactored \T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 for pip elines and com-po-nents into Underfull \hbox (badness 10000) in paragraph at lines 46287--46288 []\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. 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(badness 10000) in paragraph at lines 825--827 []\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 834--835 []\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 835--837 []\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 837--839 []\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 839--841 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BinaryC lassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 850--852 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.ComponentBase Overfull \hbox (3.60025pt too wide) in paragraph at lines 852--854 []\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 854--856 []\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 856--858 []\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 858--860 []\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 860--862 []\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 862--863 []\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 865--867 []\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 867--869 []\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 869--870 []\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 870--872 []\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 872--874 []\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 875--877 []\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 877--879 []\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 879--881 []\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 881--883 []\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 883--885 []\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 885--887 []\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 889--891 []\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 891--893 []\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 893--895 []\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 895--897 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.RFRegressorSelectFromModel [508] Underfull \hbox (badness 10000) in paragraph at lines 897--899 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.SelectColumns Underfull \hbox (badness 10000) in paragraph at lines 899--901 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.SimpleImputer Overfull \hbox (31.26003pt too wide) in paragraph at lines 901--903 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.StackedEnsembleClassifier Overfull \hbox (32.70021pt too wide) in paragraph at lines 903--905 []\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 905--907 []\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 907--909 []\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 909--911 []\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 911--913 []\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 913--914 []\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 918--920 []\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 920--922 []\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 922--924 []\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 924--926 []\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 927--928 []\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 928--930 []\T1/pcr/m/n/10 fit() 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wide) in paragraph at lines 940--942 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DelayedFeatureTransformer Overfull \hbox (51.43074pt too wide) in paragraph at lines 942--944 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DFSTransformer Overfull \hbox (39.46088pt too wide) in paragraph at lines 944--946 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DropColumns Overfull \hbox (56.69058pt too wide) in paragraph at lines 946--948 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DropNullColumns Overfull \hbox (14.90096pt too wide) in paragraph at lines 948--950 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.Imputer Overfull \hbox (48.78084pt too wide) in paragraph at lines 950--952 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 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10000) in paragraph at lines 1293--1295 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1295--1297 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1295--1297 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallWeighted class Underfull \hbox (badness 10000) in paragraph at lines 1297--1299 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1297--1299 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective class Underfull \hbox (badness 10000) in paragraph at lines 1299--1301 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1299--1301 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 1301--1303 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1301--1303 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1303--1305 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1303--1305 \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 1305--1307 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1305--1307 \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 1307--1309 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1309--1311 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1311--1313 []\T1/pcr/m/n/10 IterativeAlgorithm \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox 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(\T1/ptm/m/it/10 evalml.pipelines.compon ents.BaselineClassifier Overfull \hbox (3.46036pt too wide) in paragraph at lines 1340--1342 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.BaselineRegressor Overfull \hbox (4.81021pt too wide) in paragraph at lines 1342--1344 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.CatBoostClassifier Overfull \hbox (6.2504pt too wide) in paragraph at lines 1344--1346 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.CatBoostRegressor Overfull \hbox (9.60025pt too wide) in paragraph at lines 1348--1350 []\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 1350--1352 []\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 1352--1354 []\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 1354--1356 []\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 1358--1360 []\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 1360--1362 []\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 1362--1364 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.ElasticNetClassifier Overfull \hbox (10.69006pt too wide) in paragraph at lines 1364--1366 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.ElasticNetRegressor Overfull \hbox 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ents.LightGBMRegressor Overfull \hbox (43.3796pt too wide) in paragraph at lines 1382--1384 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.LogisticRegressionClassifier Overfull \hbox (6.21062pt too wide) in paragraph at lines 1386--1388 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.PerColumnImputer Overfull \hbox (25.60023pt too wide) in paragraph at lines 1388--1390 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.RandomForestClassifier Overfull \hbox (27.04042pt too wide) in paragraph at lines 1390--1392 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.RandomForestRegressor Overfull \hbox (50.44995pt too wide) in paragraph at lines 1392--1394 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.RFClassifierSelectFromModel Overfull \hbox (51.89014pt too wide) in paragraph at lines 1394--1396 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.RFRegressorSelectFromModel Underfull \hbox (badness 10000) in paragraph at lines 1396--1398 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.SelectColumns Underfull \hbox (badness 10000) in paragraph at lines 1398--1400 []\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 1400--1402 []\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 1402--1404 []\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 1404--1406 []\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 1406--1408 []\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 1408--1410 []\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 1410--1412 []\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 1412--1414 []\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 1414--1416 []\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 1416--1418 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.XGBoostRegressor Overfull \hbox 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(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 (529 pages, 2224738 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'... 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[11] [12] [13] [14] [15] [16] [17] [18] Underfull \hbox (badness 10000) in paragraph at lines 1496--1497 []\T1/ptm/m/n/10 Because the lead scor-ing la-bels are bi-nary, we will use \T1 /pcr/m/n/10 AutoMLSearch(X_train=X_train, [19] [20] [21] [22] [23] [24] [25] [26] Overfull \vbox (16.98256pt too high) detected at line 2157 [27] [28] [29] [30] Underfull \hbox (badness 10000) in paragraph at lines 2581--2582 []\T1/ptm/m/n/10 Because the spam/ham la-bels are bi-nary, we will use \T1/pcr/ m/n/10 AutoMLSearch(X_train=X_train, [31] [32] [33] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.2822 ...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.2822 ...inxpxdimen]{{demos_text_input_19_0}.svg} [34] [35] [36] ! LaTeX Error: Unknown graphics extension: .svg. 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[111] [112] [113] Underfull \hbox (badness 10000) in paragraph at lines 8387--8387 []\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 8392--8393 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.datatable, pd.dataframe o r np.ndarray\T1/ptm/m/n/10 ) ^^U data of shape Underfull \hbox (badness 5316) in paragraph at lines 8459--8459 []\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 8459--8459 \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 8459--8459 \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 8459--8459 \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 8459--8459 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=- 1\T1/p tm/m/n/10 , \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ve r- Underfull \hbox (badness 10000) in paragraph at lines 8459--8459 \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 8459--8459 \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 , [114] Underfull \hbox (badness 10000) in paragraph at lines 8523--8523 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_time=No ne\T1/ptm/m/n/10 , \T1/ptm/m/it/10 pa-tience=None\T1/ptm/m/n/10 , \T1/ptm/m/it/ 10 tol-er- Underfull \hbox (badness 10000) in paragraph at lines 8523--8523 \T1/ptm/m/it/10 ance=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 data_splitter=None\T1 /ptm/m/n/10 , \T1/ptm/m/it/10 al-lowed_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m /it/10 al- Underfull \hbox (badness 10000) in paragraph at lines 8523--8523 \T1/ptm/m/it/10 lowed_model_families=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 start _iteration_callback=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8523--8523 \T1/ptm/m/it/10 add_result_callback=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 er-ror _callback=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ad-di- Underfull \hbox (badness 10000) in paragraph at lines 8523--8523 \T1/ptm/m/it/10 tional_objectives=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_ state=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , Underfull \hbox (badness 8170) in paragraph at lines 8523--8523 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ver-bose=True\ T1/ptm/m/n/10 , \T1/ptm/m/it/10 op-ti-mize_thresholds=False\T1/ptm/m/n/10 , \T1 /ptm/m/it/10 en- Underfull \hbox (badness 5802) in paragraph at lines 8523--8523 \T1/ptm/m/it/10 sem-bling=False\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_batches=Non e\T1/ptm/m/n/10 , \T1/ptm/m/it/10 prob-lem_configuration=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8523--8523 \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 , [115] Underfull \hbox (badness 7869) in paragraph at lines 8577--8581 \T1/ptm/m/n/10 i-lies to search. 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\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 , [258] [259] Underfull \hbox (badness 10000) in paragraph at lines 23583--23583 []\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 23583--23583 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23583--23583 \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 , [260 <./inheritance-e87af3aaecba220c1291c71a603ae6bffa4eb8f8.pdf>] [261] [262] Underfull \hbox (badness 10000) in paragraph at lines 23903--23903 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23903--23903 \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 23903--23903 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23903--23903 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (10.18385pt too wide) in paragraph at lines 23903--23903 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23903--23903 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [263 <./inheritance-71e221308ae9e5a8e690b75e51411e7f2826aa76.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 24044--24044 []\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 24044--24044 \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 , [264] [265] Underfull \hbox (badness 10000) in paragraph at lines 24223--24223 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24223--24223 \T1/ptm/m/it/10 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [266 <./inheritance-abc0dc2e5f5762f7f112cac68f9a02e8fe19b03e.pdf>] [267] [268] Underfull \hbox (badness 10000) in paragraph at lines 24543--24543 []\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 24543--24543 \T1/ptm/m/it/10 learn-ing_rate=0.1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24543--24543 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24543--24543 \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24543--24543 \T1/ptm/m/it/10 bag-ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/10 bag- [269 <./inheritance-10696699a4a9637d6fae1d83042aab80219fd4e7.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 24694--24694 \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 , [270] [271] Underfull \hbox (badness 10000) in paragraph at lines 24873--24873 []\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 24873--24873 \T1/ptm/m/it/10 C=1.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24873--24873 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , Overfull \hbox (10.11395pt too wide) in paragraph at lines 24873--24873 \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 24873--24873 \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 24873--24873 \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 24873--24873 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [272 <./inheritance-04efa8b974f3c98fe6222d736b5bc5b44c782a07.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 25014--25014 []\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 25014--25014 \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- [273] [274] Underfull \hbox (badness 10000) in paragraph at lines 25193--25193 []\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 25193--25193 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25193--25193 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [275 <./inheritance-6ebb88fe8608ee2cbd6a182146f9214b68ccc2ac.pdf>] [276] [277] Underfull \hbox (badness 10000) in paragraph at lines 25523--25523 []\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- [278 <./inheritance-7e535c5b1c9a51233577159360851cea6f489c8b.pdf>] [279] [280] Overfull \hbox (7.27411pt too wide) in paragraph at lines 25861--25861 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25861--25861 \T1/ptm/m/it/10 fi- Overfull \hbox (1.16414pt too wide) in paragraph at lines 25861--25861 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , [281 <./inheritance-8ed6b0880aaf6d309d54b6f404ba2361688fb2b4.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 26002--26002 []\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 , [282] [283] [284 <./inheritance-3b48731c5a00dc02fd82013d9f613d93e931ecbc.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 26211--26211 []\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 26211--26211 \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 26211--26211 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26211--26211 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (22.18385pt too wide) in paragraph at lines 26211--26211 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26211--26211 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26352--26352 []\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 26352--26352 \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 , [285] [286] [287] Underfull \hbox (badness 10000) in paragraph at lines 26531--26531 []\T1/ptm/m/it/10 n_neighbors=5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26531--26531 \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 26531--26531 \T1/ptm/m/it/10 p=2\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/ 10 , [288 <./inheritance-e1a8ceaf0ccaac93fe8aeea725d77adc4c84ba2e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 26672--26672 []\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 , [289] [290] [291 <./inheritance-d8b05ca7817ca6ac0072b477b9dd224a8b395583.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 26931--26931 []\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 26931--26931 \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 26931--26931 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [292] Underfull \hbox (badness 10000) in paragraph at lines 27085--27085 []\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 27085--27085 \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 , [293] [294] Underfull \hbox (badness 10000) in paragraph at lines 27264--27264 []\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 27264--27264 \T1/ptm/m/it/10 max_iter=1000\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- Underfull \hbox (badness 5954) in paragraph at lines 27264--27264 \T1/ptm/m/it/10 ize=False\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/pt m/m/n/10 , [295 <./inheritance-60cfa8eedb90e4a053500b64a9415c8942f1be18.pdf>] [296] [297] Underfull \hbox (badness 10000) in paragraph at lines 27584--27584 []\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 27584--27584 \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- [298 <./inheritance-f5b088a49ce22dfd45c59341b12823d231773a0c.pdf>] [299] [300] Underfull \hbox (badness 10000) in paragraph at lines 27904--27904 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27904--27904 \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 27904--27904 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27904--27904 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (4.18385pt too wide) in paragraph at lines 27904--27904 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , [301 <./inheritance-a22c3f24d9b04641643c49ac0e8e2bcbd8acf180.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 28045--28045 []\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 28045--28045 \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 , [302] [303] Underfull \hbox (badness 10000) in paragraph at lines 28224--28224 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28224--28224 \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 28224--28224 \T1/ptm/m/it/10 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [304 <./inheritance-c48dc838bc60015410d4086679b2a20fffde8c26.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 28365--28365 []\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- [305] [306] Underfull \hbox (badness 10000) in paragraph at lines 28544--28544 []\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 28544--28544 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28544--28544 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [307 <./inheritance-9a0f6555b588a7b1c5351386143aa958422eca6e.pdf>] [308] [309] Underfull \hbox (badness 10000) in paragraph at lines 28874--28874 []\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- [310 <./inheritance-51c0f3429ee87e9685485ae0ef1b1a32161f726f.pdf>] [311] [312] 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_state=0\T1/ptm/m/n/10 , [313 <./inheritance-ce2c8c1dd2ba365ebbf03097f5d4cbfb6569c17d.pdf>] [314] [315] Overfull \hbox (1.27411pt too wide) in paragraph at lines 29540--29540 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 29540--29540 \T1/ptm/m/it/10 fi- Underfull \hbox (badness 10000) in paragraph at lines 29540--29540 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 29540--29540 \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 29540--29540 \T1/ptm/m/it/10 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [316 <./inheritance-2a4598667c73b4346dbd4865edbd7df84932696e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 29681--29681 []\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 , [317] [318] [319 <./inheritance-edd0ee4096c6db6edfc11e3e227ecf5e22d8f1da.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 29890--29890 []\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 29890--29890 \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 29890--29890 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 29890--29890 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (16.18385pt too wide) in paragraph at lines 29890--29890 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 29890--29890 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30031--30031 []\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 30031--30031 \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 , [320] [321] [322] Underfull \hbox (badness 10000) in paragraph at lines 30210--30210 []\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 30210--30210 \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 7759) in paragraph at lines 30210--30210 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/p tm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30210--30210 \T1/ptm/m/it/10 bag-ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/10 bag- [323 <./inheritance-cd29f096fd4e093ddd0fc6634c68918845120f9f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 30361--30361 []\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 30361--30361 \T1/ptm/m/it/10 max_depth=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 num_leaves=31\T1/pt m/m/n/10 , \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 6268) in paragraph at lines 30361--30361 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/p tm/m/n/10 , \T1/ptm/m/it/10 bag-ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/ 10 bag- [324] [325] Overfull \hbox (11.72247pt too wide) in paragraph at lines 30589--30590 []|[][]\T1/pcr/m/sl/10 get_prediction_vs_actual_over_time_data[][]| Underfull \hbox (badness 10000) in paragraph at lines 30591--30593 []|\T1/ptm/m/n/10 Get the data needed for the pre-dic- [326 <./inheritance-f405f0df2444abee0fe880bf121519e2cb092a82.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 30611--30611 []\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 30622--30623 []\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 30642--30642 []\T1/ptm/m/it/10 conf_mat\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- [327] Overfull \hbox (137.00916pt too wide) in paragraph at lines 30728--30728 [] Underfull \hbox (badness 10000) in paragraph at lines 30728--30728 Overfull \hbox (12.23114pt too wide) in paragraph at lines 30729--30729 [] Underfull \hbox (badness 10000) in paragraph at lines 30729--30729 Underfull \hbox (badness 10000) in paragraph at lines 30762--30762 \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 30762--30762 \T1/ptm/m/it/10 n_jobs=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [328] Underfull \hbox (badness 10000) in paragraph at lines 30843--30843 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30843--30843 \T1/ptm/m/it/10 X\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y\T1/ptm/m/n/10 , [329] Underfull \hbox (badness 10000) in paragraph at lines 30874--30874 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , \T1/ptm/m/it/10 X\T1/ptm/m/n/10 , \T 1/ptm/m/it/10 fea-ture\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30918--30918 []\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- [330] Underfull \hbox (badness 10000) in paragraph at lines 31053--31053 []\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 31053--31053 \T1/ptm/m/it/10 tom_class_names=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ti- [331] Underfull \hbox (badness 10000) in paragraph at lines 31084--31084 []\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 31084--31084 \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 31097--31098 []\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 31151--31151 []\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 31151--31151 \T1/ptm/m/it/10 y\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ob-jec-tive\T1/ptm/m/n/10 , [332] Underfull \hbox (badness 10000) in paragraph at lines 31185--31185 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_pred\T1/ptm/m/n/10 , \T1/ptm/m/it/10 out- Underfull \hbox (badness 10000) in paragraph at lines 31246--31246 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , \T1/ptm/m/it/10 X\T1/ptm/m/n/10 , \T 1/ptm/m/it/10 fea-ture\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31246--31246 \T1/ptm/m/it/10 class_label=None\T1/ptm/m/n/10 , [333] Overfull \hbox (9.96457pt too wide) in paragraph at lines 31329--31329 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31329--31329 \T1/ptm/m/it/10 in- Overfull \hbox (27.37434pt too wide) in paragraph at lines 31329--31329 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (11.71484pt too wide) in paragraph at lines 31329--31329 \T1/ptm/m/it/10 top_k=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31329--31329 \T1/ptm/m/it/10 train- Overfull \hbox (41.16466pt too wide) in paragraph at lines 31329--31329 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31329--31329 \T1/ptm/m/it/10 in- Overfull \hbox (82.06406pt too wide) in paragraph at lines 31329--31329 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31329--31329 \T1/ptm/m/it/10 out- Overfull \hbox (51.23395pt too wide) in paragraph at lines 31329--31329 \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 ) [334] Overfull \hbox (15.96457pt too wide) in paragraph at lines 31370--31370 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31370--31370 \T1/ptm/m/it/10 in- Overfull \hbox (33.37434pt too wide) in paragraph at lines 31370--31370 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (3.87474pt too wide) in paragraph at lines 31370--31370 \T1/ptm/m/it/10 train- Overfull \hbox (47.16466pt too wide) in paragraph at lines 31370--31370 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Overfull \hbox (54.56429pt too wide) in paragraph at lines 31370--31370 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31370--31370 \T1/ptm/m/it/10 in- Overfull \hbox (88.06406pt too wide) in paragraph at lines 31370--31370 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31370--31370 \T1/ptm/m/it/10 out- Overfull \hbox (57.23395pt too wide) in paragraph at lines 31370--31370 \T1/ptm/m/it/10 put_format=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 text\TS1/ptm/m/it/ 10 '\T1/pcr/m/n/10 ) Overfull \hbox (94.49048pt too wide) in paragraph at lines 31400--31402 [] [335] Overfull \hbox (81.96457pt too wide) in paragraph at lines 31416--31416 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 31416--31416 \T1/ptm/m/it/10 in- Overfull \hbox (99.37434pt too wide) in paragraph at lines 31416--31416 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (75.29468pt too wide) in paragraph at lines 31416--31416 \T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (125.73459pt too wide) in paragraph at lines 31416--31416 \T1/ptm/m/it/10 num_to_explain=5\T1/ptm/m/n/10 , Overfull \hbox (120.56429pt too wide) in paragraph at lines 31416--31416 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 31416--31416 \T1/ptm/m/it/10 in- Overfull \hbox (154.06406pt too wide) in paragraph at lines 31416--31416 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Overfull \hbox (65.01477pt too wide) in paragraph at lines 31416--31416 \T1/ptm/m/it/10 met- Overfull \hbox (88.7146pt too wide) in paragraph at lines 31416--31416 \T1/ptm/m/it/10 ric=None\T1/ptm/m/n/10 , Overfull \hbox (63.35486pt too wide) in paragraph at lines 31416--31416 \T1/ptm/m/it/10 out- Overfull \hbox (123.23395pt too wide) in paragraph at lines 31416--31416 \T1/ptm/m/it/10 put_format=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 text\TS1/ptm/m/it/ 10 '\T1/pcr/m/n/10 ) Overfull \hbox (102.73972pt too wide) in paragraph at lines 31454--31457 [] [336] Overfull \hbox (10.35059pt too wide) in paragraph at lines 31602--31604 [] [337] Underfull \hbox (badness 10000) in paragraph at lines 31630--31630 []\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 31631--31631 [] Underfull \hbox (badness 10000) in paragraph at lines 31631--31631 Underfull \hbox (badness 10000) in paragraph at lines 31687--31688 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 31690--31691 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [338] [339 <./inheritance-c3023310416bc018b0be07b3da283bc029d01aae.pdf>] Overfull \hbox (27.03467pt too wide) in paragraph at lines 31798--31798 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (24.9048pt too wide) in paragraph at lines 31798--31798 \T1/ptm/m/it/10 base- Overfull \hbox (50.5344pt too wide) in paragraph at lines 31798--31798 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 31813--31815 [] Underfull \hbox (badness 10000) in paragraph at lines 31832--31832 []\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 31860--31860 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (25.29468pt too wide) in paragraph at lines 31869--31869 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (46.58444pt too wide) in paragraph at lines 31869--31869 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (37.21486pt too wide) in paragraph at lines 31869--31869 \T1/ptm/m/it/10 X=None\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 31870--31870 [] Underfull \hbox (badness 10000) in paragraph at lines 31870--31870 [340] Underfull \hbox (badness 10000) in paragraph at lines 31954--31955 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. DataTable, pd.Series, or pd. Underfull \hbox (badness 10000) in paragraph at lines 31957--31958 []\T1/pcr/b/n/10 y_true \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, pd.Serie s\T1/ptm/m/n/10 ) ^^U Ac-tual class la-bels of length [341] [342 <./inheritance-25a20ad2e55443357af97bc97f1b8246ec607b13.pdf>] Overfull \hbox (51.03467pt too wide) in paragraph at lines 32057--32057 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (48.9048pt too wide) in paragraph at lines 32057--32057 \T1/ptm/m/it/10 base- Overfull \hbox (74.5344pt too wide) in paragraph at lines 32057--32057 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 32072--32074 [] Overfull \hbox (81.78452pt too wide) in paragraph at lines 32091--32091 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (49.29468pt too wide) in paragraph at lines 32100--32100 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (70.58444pt too wide) in paragraph at lines 32100--32100 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (61.21486pt too wide) in paragraph at lines 32100--32100 \T1/ptm/m/it/10 X=None\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 32101--32101 [] Underfull \hbox (badness 10000) in paragraph at lines 32101--32101 [343] Underfull \hbox (badness 10000) in paragraph at lines 32157--32158 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataColumn, ww. 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Please use Overfull \vbox (1.02501pt too high) detected at line 44865 [478] Underfull \hbox (badness 10000) in paragraph at lines 44937--44938 []\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 [479] [480] Underfull \hbox (badness 10000) in paragraph at lines 45151--45154 [] [481] [482] [483] Underfull \hbox (badness 10000) in paragraph at lines 45373--45374 []\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 45400--45401 []\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 45403--45404 []\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 45427--45428 []\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. [484] Underfull \hbox (badness 10000) in paragraph at lines 45491--45492 []\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 45535--45536 []\T1/ptm/m/n/10 Deleted static pipelines and refac-tored tests in-volv-ing sta tic pipelines, re-moved [485] Underfull \hbox (badness 10000) in paragraph at lines 45625--45626 []\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 [486] Underfull \hbox (badness 10000) in paragraph at lines 45703--45704 []\T1/ptm/m/n/10 Refactor \T1/pcr/m/n/10 handle_components \T1/ptm/m/n/10 to \T 1/pcr/m/n/10 handle_components_class\T1/ptm/m/n/10 , stan-dard-ize to Underfull \hbox (badness 10000) in paragraph at lines 45709--45710 []\T1/ptm/m/n/10 Replaced \T1/pcr/m/n/10 AutoClassificationSearch \T1/ptm/m/n/1 0 and \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 with Underfull \hbox (badness 10000) in paragraph at lines 45745--45746 []\T1/ptm/m/n/10 Replaced \T1/pcr/m/n/10 AutoClassificationSearch \T1/ptm/m/n/1 0 and \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 with Underfull \hbox (badness 5374) in paragraph at lines 45761--45762 []\T1/ptm/m/n/10 Rename \T1/pcr/m/n/10 handle_component \T1/ptm/m/n/10 to \T1/p cr/m/n/10 handle_component_class\T1/ptm/m/n/10 . Now stan-dard-izes to [487] Underfull \hbox (badness 10000) in paragraph at lines 45847--45848 []\T1/ptm/m/n/10 Updated Au-to-Base with \T1/pcr/m/n/10 data_checks \T1/ptm/m/n /10 pa-ram-e-ter, re-moved pre-vi-ous [488] [489] [490] Underfull \hbox (badness 10000) in paragraph at lines 46084--46085 []\T1/ptm/m/n/10 Renamed \T1/pcr/m/n/10 pipeline.feature_importance_graph \T1/p tm/m/n/10 to \T1/pcr/m/n/10 pipeline. Overfull \hbox (32.69456pt too wide) in paragraph at lines 46090--46091 []\T1/ptm/m/n/10 Renamed \T1/pcr/m/n/10 MultiClassificationObjective \T1/ptm/m/ n/10 to \T1/pcr/m/n/10 MulticlassClassificationObjective\T1/ptm/m/n/10 , [491] Underfull \hbox (badness 10000) in paragraph at lines 46224--46225 []\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. Underfull \hbox (badness 10000) in paragraph at lines 46242--46243 []\T1/ptm/m/n/10 Renamed \T1/pcr/m/n/10 PipelineBase.name \T1/ptm/m/n/10 as \T1 /pcr/m/n/10 PipelineBase.summary \T1/ptm/m/n/10 and re-de-fined [492] Underfull \hbox (badness 10000) in paragraph at lines 46284--46285 []\T1/ptm/m/n/10 Refactored \T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 for pip elines and com-po-nents into Underfull \hbox (badness 10000) in paragraph at lines 46287--46288 []\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. 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mponents.XGBoostClassifier Overfull \hbox (29.13054pt too wide) in paragraph at lines 776--778 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.XGBoostRegressor Overfull \hbox (37.18016pt too wide) in paragraph at lines 778--780 []\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 780--782 []\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 782--784 []\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 784--786 []\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 787--788 []\T1/pcr/m/n/10 describe() 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(badness 10000) in paragraph at lines 798--800 []\T1/pcr/m/n/10 describe_pipeline() Underfull \hbox (badness 10000) in paragraph at lines 798--800 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.AutoMLSearch method\T1/ptm/m/n/10 ), [507] Underfull \hbox (badness 10000) in paragraph at lines 800--802 []\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 802--803 []\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 803--805 []\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 807--808 []\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 811--813 []\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 813--815 []\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 816--818 []\T1/pcr/m/n/10 explain_prediction() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ul e Overfull \hbox (31.08055pt too wide) in paragraph at lines 816--818 \T1/ptm/m/it/10 evalml.model_understanding.prediction_explanations\T1/ptm/m/n/1 0 ), Underfull \hbox (badness 10000) in paragraph at lines 818--820 []\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 818--820 \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 820--822 \T1/ptm/m/it/10 ule evalml.model_understanding.prediction_explanations\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 823--825 []\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 825--827 []\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 834--835 []\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 835--837 []\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 837--839 []\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 839--841 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BinaryC lassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 850--852 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.ComponentBase Overfull \hbox (3.60025pt too wide) in paragraph at lines 852--854 []\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 854--856 []\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 856--858 []\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 858--860 []\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 860--862 []\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 862--863 []\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 865--867 []\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 867--869 []\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 869--870 []\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 870--872 []\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 872--874 []\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 875--877 []\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 877--879 []\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 879--881 []\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 881--883 []\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 883--885 []\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 885--887 []\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 889--891 []\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 891--893 []\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 893--895 []\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 895--897 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.RFRegressorSelectFromModel [508] Underfull \hbox (badness 10000) in paragraph at lines 897--899 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.SelectColumns Underfull \hbox (badness 10000) in paragraph at lines 899--901 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.SimpleImputer Overfull \hbox (31.26003pt too wide) in paragraph at lines 901--903 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.StackedEnsembleClassifier Overfull \hbox (32.70021pt too wide) in paragraph at lines 903--905 []\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 905--907 []\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 907--909 []\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 909--911 []\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 911--913 []\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 913--914 []\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 918--920 []\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 920--922 []\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 922--924 []\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 924--926 []\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 927--928 []\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 928--930 []\T1/pcr/m/n/10 fit() 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wide) in paragraph at lines 940--942 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DelayedFeatureTransformer Overfull \hbox (51.43074pt too wide) in paragraph at lines 942--944 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DFSTransformer Overfull \hbox (39.46088pt too wide) in paragraph at lines 944--946 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DropColumns Overfull \hbox (56.69058pt too wide) in paragraph at lines 946--948 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DropNullColumns Overfull \hbox (14.90096pt too wide) in paragraph at lines 948--950 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.Imputer Overfull \hbox (48.78084pt too wide) in paragraph at lines 950--952 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 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10000) in paragraph at lines 1293--1295 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1295--1297 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1295--1297 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallWeighted class Underfull \hbox (badness 10000) in paragraph at lines 1297--1299 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1297--1299 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective class Underfull \hbox (badness 10000) in paragraph at lines 1299--1301 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1299--1301 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 1301--1303 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at 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(\T1/ptm/m/it/10 evalml.pipelines.compon ents.BaselineClassifier Overfull \hbox (3.46036pt too wide) in paragraph at lines 1340--1342 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.BaselineRegressor Overfull \hbox (4.81021pt too wide) in paragraph at lines 1342--1344 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.CatBoostClassifier Overfull \hbox (6.2504pt too wide) in paragraph at lines 1344--1346 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.CatBoostRegressor Overfull \hbox (9.60025pt too wide) in paragraph at lines 1348--1350 []\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 1350--1352 []\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 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(./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 (529 pages, 2225008 bytes). 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