Read the Docs build information Build id: 476464 Project: feature-labs-inc-evalml Version: main Commit: 299889534540860ab00bebc10ebc73a01fe2843b Date: 2020-11-11T01:13:13.682012Z State: finished Success: True [rtd-command-info] start-time: 2020-11-11T01:13:16.422434Z, end-time: 2020-11-11T01:13:19.099924Z, duration: 2, exit-code: 0 git clone --no-single-branch --depth 50 git@github.com:alteryx/evalml.git . Cloning into '.'... Warning: Permanently added 'github.com,140.82.114.4' (RSA) to the list of known hosts. [rtd-command-info] start-time: 2020-11-11T01:13:19.659866Z, end-time: 2020-11-11T01:13:19.788178Z, 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 29988953 Update documentation to include all data checks and usage of data checks in AutoML (#1412) [rtd-command-info] start-time: 2020-11-11T01:13:19.897203Z, end-time: 2020-11-11T01:13:19.949297Z, duration: 0, exit-code: 0 git clean -d -f -f [rtd-command-info] start-time: 2020-11-11T01:13:21.622909Z, end-time: 2020-11-11T01:13:25.604728Z, duration: 3, exit-code: 0 python3.7 -mvirtualenv Using base prefix '/home/docs/.pyenv/versions/3.7.9' New python executable in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/bin/python3.7 Also creating executable in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/bin/python Installing setuptools, pip, wheel... done. [rtd-command-info] start-time: 2020-11-11T01:13:25.752349Z, end-time: 2020-11-11T01:13:26.445601Z, duration: 0, exit-code: 0 python -m pip install --upgrade --no-cache-dir pip Requirement already up-to-date: pip in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (20.2.4) [rtd-command-info] start-time: 2020-11-11T01:13:26.625873Z, end-time: 2020-11-11T01:13:35.238816Z, duration: 8, 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 commonmark==0.8.1 recommonmark==0.5.0 sphinx<2 sphinx-rtd-theme<0.5 readthedocs-sphinx-ext<2.2 Collecting setuptools==41.0.1 Downloading setuptools-41.0.1-py2.py3-none-any.whl (575 kB) Collecting docutils==0.14 Downloading docutils-0.14-py3-none-any.whl (543 kB) Collecting mock==1.0.1 Downloading mock-1.0.1.tar.gz (818 kB) Collecting pillow==5.4.1 Downloading 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Successfully built mock future Installing collected packages: setuptools, docutils, mock, pillow, alabaster, future, commonmark, six, pyparsing, packaging, sphinxcontrib-serializinghtml, sphinxcontrib-websupport, snowballstemmer, Pygments, MarkupSafe, Jinja2, idna, urllib3, chardet, certifi, requests, imagesize, pytz, babel, sphinx, recommonmark, sphinx-rtd-theme, readthedocs-sphinx-ext Attempting uninstall: setuptools Found existing installation: setuptools 50.3.2 Uninstalling setuptools-50.3.2: Successfully uninstalled setuptools-50.3.2 Successfully installed Jinja2-2.11.2 MarkupSafe-1.1.1 Pygments-2.7.2 alabaster-0.7.12 babel-2.8.0 certifi-2020.11.8 chardet-3.0.4 commonmark-0.8.1 docutils-0.14 future-0.18.2 idna-2.10 imagesize-1.2.0 mock-1.0.1 packaging-20.4 pillow-5.4.1 pyparsing-2.4.7 pytz-2020.4 readthedocs-sphinx-ext-2.1.1 recommonmark-0.5.0 requests-2.24.0 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 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shap, pyyaml, nltk, retrying, locket, pyrsistent, pandocfilters Building wheel for evalml (setup.py): started Building wheel for evalml (setup.py): finished with status 'done' Created wheel for evalml: filename=evalml-0.15.0-py3-none-any.whl size=6002392 sha256=e2a61f305f885158846c5bc01f7161c6f97b69e92c53119d792838d094fd7d66 Stored in directory: /tmp/pip-ephem-wheel-cache-y7y6nw7l/wheels/9b/24/cc/fd0947b0017d1fa995eba9b829fcdd9805e5323df33ce4d1b8 Building wheel for psutil (setup.py): started Building wheel for psutil (setup.py): finished with status 'done' Created wheel for psutil: filename=psutil-5.7.3-cp37-cp37m-linux_x86_64.whl size=285326 sha256=03acf5fd76e3c96af61496f337146ed30492b8bf28d96c83f8d07ff79b1db841 Stored in directory: /tmp/pip-ephem-wheel-cache-y7y6nw7l/wheels/f0/4b/57/d037639271e326da3e80e0ddc37bd3d5da7bbf48b3173be557 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=7656 sha256=9c7d4fab6599ac876a130cd788349d8f71acd4f9b98ada84e5eea5902e25739e Stored in directory: /tmp/pip-ephem-wheel-cache-y7y6nw7l/wheels/40/e4/ca/8af24ee94c3863d620d6a52793d82930f4d1d3515a5121d495 Building wheel for shap (setup.py): started Building wheel for shap (setup.py): finished with status 'done' Created wheel for shap: filename=shap-0.37.0-cp37-cp37m-linux_x86_64.whl size=468556 sha256=080da1205bd70c9daa61c6c736e7584e6922b2003781c0a3d80ec7be3701bfcc Stored in directory: /tmp/pip-ephem-wheel-cache-y7y6nw7l/wheels/df/b8/18/2c0a6105152e62dd9a7cf47b5110b9cedb0c8739babdef64b7 Building wheel for pyyaml (setup.py): started Building wheel for pyyaml (setup.py): finished with status 'done' Created wheel for pyyaml: filename=PyYAML-5.3.1-cp37-cp37m-linux_x86_64.whl size=44619 sha256=dcb78d0d44d03ee6046108355fbbea4cf9724c9673b977256c06fa89798048d7 Stored in directory: /tmp/pip-ephem-wheel-cache-y7y6nw7l/wheels/5e/03/1e/e1e954795d6f35dfc7b637fe2277bff021303bd9570ecea653 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=1434675 sha256=b6ef74af4ef15c7a2a362248d21cc84ce04c2c6ec72e23abcdea30ff315988ca Stored in directory: /tmp/pip-ephem-wheel-cache-y7y6nw7l/wheels/45/6c/46/a1865e7ba706b3817f5d1b2ff7ce8996aabdd0d03d47ba0266 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=3efabe8c38894a629cd2b0324d7057f01b781bf8c36a508eb988e18a678109c1 Stored in directory: /tmp/pip-ephem-wheel-cache-y7y6nw7l/wheels/f9/8d/8d/f6af3f7f9eea3553bc2fe6d53e4b287dad18b06a861ac56ddf Building wheel for locket (setup.py): started Building wheel for locket (setup.py): finished with status 'done' Created wheel for locket: filename=locket-0.2.0-py3-none-any.whl size=4040 sha256=3451b610e5b40f8de5d8034f328b0e4f0fbb06d5e3ece9dad783d5bf1fcafa98 Stored in directory: /tmp/pip-ephem-wheel-cache-y7y6nw7l/wheels/7d/21/ce/56f01c644a11bde5d09ecae16d9b5e9d7e988187624fd28fec Building wheel for pyrsistent (setup.py): started Building wheel for pyrsistent (setup.py): finished with status 'done' Created wheel for pyrsistent: filename=pyrsistent-0.17.3-cp37-cp37m-linux_x86_64.whl size=115302 sha256=7c3756379e517f401d9ca9fee233bb10c8bb7f1c29e22eb8d238e47653f5e4bb Stored in directory: /tmp/pip-ephem-wheel-cache-y7y6nw7l/wheels/a5/52/bf/71258a1d7b3c8cbe1ee53f9314c6f65f20385481eaee573cc5 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=7991 sha256=3514eea3692b4d9cd2d731ed2382c549d93190f8640b96de1f4909360b06d496 Stored in directory: /tmp/pip-ephem-wheel-cache-y7y6nw7l/wheels/42/81/34/545dc2fbf0e9137811e901108d37fc04650e81d48f97078000 Successfully built evalml psutil requirements-parser shap pyyaml nltk retrying locket pyrsistent pandocfilters Installing collected packages: numpy, python-dateutil, pandas, scipy, threadpoolctl, joblib, scikit-learn, pyyaml, pyaml, scikit-optimize, colorama, cloudpickle, click, psutil, requirements-parser, tqdm, slicer, llvmlite, setuptools, numba, shap, texttable, woodwork, tblib, heapdict, zict, toolz, tornado, fsspec, locket, partd, dask, sortedcontainers, msgpack, distributed, featuretools, regex, nltk, nlp-primitives, retrying, plotly, ipython-genutils, traitlets, jupyter-core, attrs, pyrsistent, zipp, importlib-metadata, jsonschema, nbformat, parso, jedi, ptyprocess, pexpect, decorator, backcall, wcwidth, prompt-toolkit, pickleshare, ipython, jupyterlab-pygments, mistune, defusedxml, testpath, async-generator, pyzmq, jupyter-client, nest-asyncio, nbclient, webencodings, bleach, entrypoints, pandocfilters, nbconvert, terminado, ipykernel, prometheus-client, pycparser, cffi, argon2-cffi, Send2Trash, notebook, widgetsnbextension, ipywidgets, xgboost, pillow, cycler, kiwisolver, matplotlib, graphviz, catboost, lightgbm, evalml Attempting uninstall: setuptools Found existing installation: setuptools 41.0.1 Uninstalling setuptools-41.0.1: Successfully uninstalled setuptools-41.0.1 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 async-generator-1.10 attrs-20.3.0 backcall-0.2.0 bleach-3.2.1 catboost-0.24.2 cffi-1.14.3 click-7.1.2 cloudpickle-1.6.0 colorama-0.4.4 cycler-0.10.0 dask-2.30.0 decorator-4.4.2 defusedxml-0.6.0 distributed-2.30.1 entrypoints-0.3 evalml-0.15.0 featuretools-0.21.0 fsspec-0.8.4 graphviz-0.14.2 heapdict-1.0.1 importlib-metadata-2.0.0 ipykernel-5.3.4 ipython-7.19.0 ipython-genutils-0.2.0 ipywidgets-7.5.1 jedi-0.17.2 joblib-0.17.0 jsonschema-3.2.0 jupyter-client-6.1.7 jupyter-core-4.6.3 jupyterlab-pygments-0.1.2 kiwisolver-1.3.1 lightgbm-3.0.0 llvmlite-0.34.0 locket-0.2.0 matplotlib-3.3.2 mistune-0.8.4 msgpack-1.0.0 nbclient-0.5.1 nbconvert-6.0.7 nbformat-5.0.8 nest-asyncio-1.4.2 nlp-primitives-1.1.0 nltk-3.5 notebook-6.1.5 numba-0.51.2 numpy-1.19.4 pandas-1.1.4 pandocfilters-1.4.3 parso-0.7.1 partd-1.1.0 pexpect-4.8.0 pickleshare-0.7.5 pillow-8.0.1 plotly-4.12.0 prometheus-client-0.8.0 prompt-toolkit-3.0.8 psutil-5.7.3 ptyprocess-0.6.0 pyaml-20.4.0 pycparser-2.20 pyrsistent-0.17.3 python-dateutil-2.8.1 pyyaml-5.3.1 pyzmq-19.0.2 regex-2020.10.28 requirements-parser-0.2.0 retrying-1.3.3 scikit-learn-0.23.2 scikit-optimize-0.8.1 scipy-1.5.4 setuptools-50.3.2 shap-0.37.0 slicer-0.0.3 sortedcontainers-2.3.0 tblib-1.7.0 terminado-0.9.1 testpath-0.4.4 texttable-1.6.3 threadpoolctl-2.1.0 toolz-0.11.1 tornado-6.1 tqdm-4.51.0 traitlets-5.0.5 wcwidth-0.2.5 webencodings-0.5.1 widgetsnbextension-3.5.1 woodwork-0.0.4 xgboost-1.2.1 zict-2.0.0 zipp-3.4.0 [rtd-command-info] start-time: 2020-11-11T01:14:35.652590Z, end-time: 2020-11-11T01:14:43.254275Z, duration: 7, exit-code: 0 python -m pip install --exists-action=w --no-cache-dir -r dev-requirements.txt Requirement already satisfied: numpy>=1.16.4 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from -r core-requirements.txt (line 1)) (1.19.4) Requirement already satisfied: pandas>=0.25.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from -r core-requirements.txt (line 2)) (1.1.4) Requirement already satisfied: scipy>=1.2.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from -r core-requirements.txt (line 3)) (1.5.4) Requirement already satisfied: scikit-learn>=0.23 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from -r core-requirements.txt (line 4)) (0.23.2) Requirement already satisfied: scikit-optimize>=0.8 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from -r core-requirements.txt (line 5)) (0.8.1) Requirement already satisfied: colorama in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from -r core-requirements.txt (line 6)) (0.4.4) Requirement already satisfied: cloudpickle>=0.2.2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from -r core-requirements.txt (line 7)) (1.6.0) Requirement already satisfied: click>=7.0.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from -r core-requirements.txt (line 8)) (7.1.2) Requirement already satisfied: psutil>=5.6.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from -r core-requirements.txt (line 9)) (5.7.3) Requirement already satisfied: requirements-parser>=0.2.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from -r core-requirements.txt (line 10)) (0.2.0) Requirement already satisfied: shap>=0.35.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from -r core-requirements.txt (line 11)) (0.37.0) Requirement already satisfied: texttable>=1.6.2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from -r core-requirements.txt (line 12)) (1.6.3) Requirement already satisfied: woodwork>=0.0.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from -r core-requirements.txt (line 13)) (0.0.4) Requirement already satisfied: featuretools>=0.20.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from -r core-requirements.txt (line 14)) (0.21.0) Requirement already satisfied: nlp-primitives>=1.1.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from -r core-requirements.txt (line 15)) (1.1.0) Requirement already satisfied: plotly>=4.2.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from -r requirements.txt (line 2)) (4.12.0) Requirement already satisfied: ipywidgets>=7.5 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from -r requirements.txt (line 3)) (7.5.1) Requirement already satisfied: xgboost>=0.82 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from -r requirements.txt (line 4)) (1.2.1) Requirement already satisfied: catboost>=0.20 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from -r requirements.txt (line 5)) (0.24.2) Requirement already satisfied: lightgbm>=2.3.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from -r requirements.txt (line 6)) (3.0.0) Requirement already satisfied: graphviz>=0.13 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from -r requirements.txt (line 7)) (0.14.2) Collecting pytest==4.4.1 Downloading pytest-4.4.1-py2.py3-none-any.whl (223 kB) Collecting pytest-xdist==1.26.1 Downloading pytest_xdist-1.26.1-py2.py3-none-any.whl (35 kB) Collecting pytest-cov==2.6.1 Downloading pytest_cov-2.6.1-py2.py3-none-any.whl (16 kB) Collecting nbval==0.9.3 Downloading nbval-0.9.3-py2.py3-none-any.whl (22 kB) Requirement already satisfied: IPython>=5.0.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from -r test-requirements.txt (line 5)) (7.19.0) Collecting codecov==2.1.0 Downloading codecov-2.1.0.tar.gz (17 kB) Requirement already satisfied: PyYAML==5.3.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from -r test-requirements.txt (line 7)) (5.3.1) Collecting flake8==3.7.0 Downloading flake8-3.7.0-py2.py3-none-any.whl (68 kB) Collecting autopep8==1.4.3 Downloading autopep8-1.4.3.tar.gz (113 kB) Collecting isort==4.3.4 Downloading isort-4.3.4-py3-none-any.whl (45 kB) Collecting pydata-sphinx-theme==0.3.1 Downloading pydata_sphinx_theme-0.3.1-py3-none-any.whl (61 kB) Collecting Sphinx==2.0.1 Downloading Sphinx-2.0.1-py2.py3-none-any.whl (3.2 MB) Collecting nbconvert==5.5.0 Downloading nbconvert-5.5.0-py2.py3-none-any.whl (447 kB) Collecting nbsphinx==0.4.2 Downloading nbsphinx-0.4.2-py2.py3-none-any.whl (20 kB) Requirement already satisfied: python-dateutil>=2.7.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from pandas>=0.25.0->-r core-requirements.txt (line 2)) (2.8.1) Requirement already satisfied: pytz>=2017.2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from pandas>=0.25.0->-r core-requirements.txt (line 2)) (2020.4) Requirement already satisfied: joblib>=0.11 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from scikit-learn>=0.23->-r core-requirements.txt (line 4)) (0.17.0) Requirement already satisfied: threadpoolctl>=2.0.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from scikit-learn>=0.23->-r core-requirements.txt (line 4)) (2.1.0) Requirement already satisfied: pyaml>=16.9 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from scikit-optimize>=0.8->-r core-requirements.txt (line 5)) (20.4.0) Requirement already satisfied: tqdm>4.25.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from shap>=0.35.0->-r core-requirements.txt (line 11)) (4.51.0) Requirement already satisfied: slicer==0.0.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from shap>=0.35.0->-r core-requirements.txt (line 11)) (0.0.3) Requirement already satisfied: numba in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from shap>=0.35.0->-r core-requirements.txt (line 11)) (0.51.2) Requirement already satisfied: dask[dataframe]>=2.12.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from featuretools>=0.20.0->-r core-requirements.txt (line 14)) (2.30.0) Requirement already satisfied: distributed>=2.12.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from featuretools>=0.20.0->-r core-requirements.txt (line 14)) (2.30.1) Requirement already satisfied: nltk>=3.4.5 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from nlp-primitives>=1.1.0->-r core-requirements.txt (line 15)) (3.5) Requirement already satisfied: retrying>=1.3.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from plotly>=4.2.1->-r requirements.txt (line 2)) (1.3.3) Requirement already satisfied: six in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from plotly>=4.2.1->-r requirements.txt (line 2)) (1.15.0) Requirement already satisfied: ipykernel>=4.5.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from ipywidgets>=7.5->-r requirements.txt (line 3)) (5.3.4) Requirement already satisfied: nbformat>=4.2.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from ipywidgets>=7.5->-r requirements.txt (line 3)) (5.0.8) Requirement already satisfied: traitlets>=4.3.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from 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Building wheel for codecov (setup.py): started Building wheel for codecov (setup.py): finished with status 'done' Created wheel for codecov: filename=codecov-2.1.0-py2.py3-none-any.whl size=15152 sha256=b385f1194dcc07f4708e6958406c47695bc5b425f31005f4247d1be08fd047d3 Stored in directory: /tmp/pip-ephem-wheel-cache-ty0e1tpg/wheels/8a/24/33/292f49f78eaf4a3dd0db5b46cc75bf33b2af4a90ceff600cfe Building wheel for autopep8 (setup.py): started Building wheel for autopep8 (setup.py): finished with status 'done' Created wheel for autopep8: filename=autopep8-1.4.3-py2.py3-none-any.whl size=42228 sha256=af05568cf130356f0a7bf923b87435cb32309ba8c7f83b93fe90710f98f6a9a3 Stored in directory: /tmp/pip-ephem-wheel-cache-ty0e1tpg/wheels/cb/ca/0d/db843e5869db016f92974eb145021a3920eec623f3e6adff59 Successfully built codecov autopep8 Installing collected packages: more-itertools, pluggy, py, atomicwrites, pytest, pytest-forked, apipkg, execnet, pytest-xdist, coverage, pytest-cov, nbval, codecov, pyflakes, mccabe, pycodestyle, flake8, autopep8, isort, sphinxcontrib-applehelp, sphinxcontrib-htmlhelp, sphinxcontrib-jsmath, sphinxcontrib-qthelp, sphinxcontrib-devhelp, Sphinx, pydata-sphinx-theme, nbconvert, nbsphinx Attempting uninstall: Sphinx Found existing installation: Sphinx 1.8.5 Uninstalling Sphinx-1.8.5: Successfully uninstalled Sphinx-1.8.5 Attempting uninstall: nbconvert Found existing installation: nbconvert 6.0.7 Uninstalling nbconvert-6.0.7: Successfully uninstalled nbconvert-6.0.7 Successfully installed Sphinx-2.0.1 apipkg-1.5 atomicwrites-1.4.0 autopep8-1.4.3 codecov-2.1.0 coverage-5.3 execnet-1.7.1 flake8-3.7.0 isort-4.3.4 mccabe-0.6.1 more-itertools-8.6.0 nbconvert-5.5.0 nbsphinx-0.4.2 nbval-0.9.3 pluggy-0.13.1 py-1.9.0 pycodestyle-2.5.0 pydata-sphinx-theme-0.3.1 pyflakes-2.1.1 pytest-4.4.1 pytest-cov-2.6.1 pytest-forked-1.3.0 pytest-xdist-1.26.1 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 [rtd-command-info] start-time: 2020-11-11T01:15:13.191930Z, end-time: 2020-11-11T01:15:13.265722Z, 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': "main", 'version_slug': "main", 'MEDIA_URL': "https://media.readthedocs.com/media/", 'STATIC_URL': "https://assets.readthedocs.com/", 'PRODUCTION_DOMAIN': "readthedocs.com", 'versions': [ ], 'downloads': [ ], 'subprojects': [ ], 'slug': 'feature-labs-inc-evalml', 'name': u'EvalML', 'rtd_language': u'en', 'programming_language': u'words', 'canonical_url': 'https://evalml.alteryx.com/en/stable/', 'analytics_code': 'UA-64679566-12', 'single_version': False, 'conf_py_path': '/docs/source/', 'api_host': 'https://readthedocs.com', 'github_user': 'alteryx', 'proxied_api_host': '/_', 'github_repo': 'evalml', 'github_version': 'main', 'display_github': True, 'bitbucket_user': 'None', 'bitbucket_repo': 'None', 'bitbucket_version': 'main', 'display_bitbucket': False, 'gitlab_user': 'None', 'gitlab_repo': 'None', 'gitlab_version': 'main', 'display_gitlab': False, 'READTHEDOCS': True, 'using_theme': (html_theme == "default"), 'new_theme': (html_theme == "sphinx_rtd_theme"), 'source_suffix': SUFFIX, 'ad_free': False, 'docsearch_disabled': False, 'user_analytics_code': 'UA-64679566-12', 'global_analytics_code': 'UA-17997319-2', 'commit': '29988953', } if 'html_context' in globals(): html_context.update(context) else: html_context = context # Add custom RTD extension if 'extensions' in globals(): # Insert at the beginning because it can interfere # with other extensions. # See https://github.com/rtfd/readthedocs.org/pull/4054 extensions.insert(0, "readthedocs_ext.readthedocs") else: extensions = ["readthedocs_ext.readthedocs"] # Add External version warning banner to the external version documentation if 'branch' == 'external': extensions.insert(1, "readthedocs_ext.external_version_warning") project_language = 'en' # User's Sphinx configurations language_user = globals().get('language', None) latex_engine_user = globals().get('latex_engine', None) latex_elements_user = globals().get('latex_elements', None) # Remove this once xindy gets installed in Docker image and XINDYOPS # env variable is supported # https://github.com/rtfd/readthedocs-docker-images/pull/98 latex_use_xindy = False chinese = any([ language_user in ('zh_CN', 'zh_TW'), project_language in ('zh_CN', 'zh_TW'), ]) japanese = any([ language_user == 'ja', project_language == 'ja', ]) if chinese: latex_engine = latex_engine_user or 'xelatex' latex_elements_rtd = { 'preamble': '\\usepackage[UTF8]{ctex}\n', } latex_elements = latex_elements_user or latex_elements_rtd elif japanese: latex_engine = latex_engine_user or 'platex' # Make sure our build directory is always excluded exclude_patterns = globals().get('exclude_patterns', []) exclude_patterns.extend(['_build']) [rtd-command-info] start-time: 2020-11-11T01:15:13.690413Z, end-time: 2020-11-11T01:30:25.003272Z, duration: 911, exit-code: 0 python sphinx-build -T -E -W --keep-going -b readthedocs -d _build/doctrees-readthedocs -D language=en . _build/html Running Sphinx v2.0.1 loading translations [en]... done making output directory... done [autosummary] generating autosummary for: api_reference.rst [autosummary] generating autosummary for: /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.automl.AutoMLSearch.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.automl.automl_algorithm.AutoMLAlgorithm.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.automl.automl_algorithm.IterativeAlgorithm.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.automl.callbacks.log_and_save_error_callback.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.automl.callbacks.log_error_callback.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.automl.callbacks.raise_and_save_error_callback.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.automl.callbacks.raise_error_callback.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.automl.callbacks.silent_error_callback.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.automl.get_default_primary_search_objective.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.data_checks.ClassImbalanceDataCheck.rst, ..., /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.problem_types.detect_problem_type.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.problem_types.handle_problem_types.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.tuners.GridSearchTuner.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.tuners.RandomSearchTuner.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.tuners.SKOptTuner.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.tuners.Tuner.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.utils.convert_to_seconds.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.utils.get_random_seed.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.utils.get_random_state.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.utils.import_or_raise.rst [autosummary] generating autosummary for: /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.automl.AutoMLSearch.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.automl.AutoMLSearch.add_to_rankings.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.automl.AutoMLSearch.describe_pipeline.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.automl.AutoMLSearch.get_pipeline.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.automl.AutoMLSearch.load.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.automl.AutoMLSearch.save.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.automl.AutoMLSearch.search.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.add_result.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.next_batch.rst, ..., /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.tuners.RandomSearchTuner.is_search_space_exhausted.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.tuners.RandomSearchTuner.propose.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.tuners.SKOptTuner.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.tuners.SKOptTuner.add.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.tuners.SKOptTuner.is_search_space_exhausted.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.tuners.SKOptTuner.propose.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.tuners.Tuner.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.tuners.Tuner.add.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.tuners.Tuner.is_search_space_exhausted.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/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: 882 added, 0 changed, 0 removed reading sources... 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[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.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.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 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generated/evalml.pipelines.components.XGBoostClassifier generated/methods/evalml.pipelines.components.XGBoostClassifier.__init__ generated/methods/evalml.pipelines.components.XGBoostClassifier.clone generated/methods/evalml.pipelines.components.XGBoostClassifier.describe generated/methods/evalml.pipelines.components.XGBoostClassifier.fit generated/methods/evalml.pipelines.components.XGBoostClassifier.load generated/methods/evalml.pipelines.components.XGBoostClassifier.predict generated/methods/evalml.pipelines.components.XGBoostClassifier.predict_proba generated/methods/evalml.pipelines.components.XGBoostClassifier.save generated/evalml.pipelines.components.BaselineClassifier generated/methods/evalml.pipelines.components.BaselineClassifier.__init__ generated/methods/evalml.pipelines.components.BaselineClassifier.clone generated/methods/evalml.pipelines.components.BaselineClassifier.describe generated/methods/evalml.pipelines.components.BaselineClassifier.fit 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generated/evalml.objectives.LogLossBinary generated/methods/evalml.objectives.LogLossBinary.calculate_percent_difference generated/methods/evalml.objectives.LogLossBinary.decision_function generated/methods/evalml.objectives.LogLossBinary.is_defined_for_problem_type generated/methods/evalml.objectives.LogLossBinary.objective_function generated/methods/evalml.objectives.LogLossBinary.optimize_threshold generated/methods/evalml.objectives.LogLossBinary.score generated/methods/evalml.objectives.LogLossBinary.validate_inputs generated/evalml.objectives.LogLossMulticlass generated/methods/evalml.objectives.LogLossMulticlass.calculate_percent_difference generated/methods/evalml.objectives.LogLossMulticlass.is_defined_for_problem_type generated/methods/evalml.objectives.LogLossMulticlass.objective_function generated/methods/evalml.objectives.LogLossMulticlass.score generated/methods/evalml.objectives.LogLossMulticlass.validate_inputs generated/evalml.objectives.MCCBinary 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WARNING: Missing searchtools: /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/_build/latex/_static/searchtools.js [rtd-command-info] start-time: 2020-11-11T01:44:08.132565Z, end-time: 2020-11-11T01:44:08.193985Z, duration: 0, exit-code: 0 cat latexmkrc $latex = 'latex ' . $ENV{'LATEXOPTS'} . ' %O %S'; $pdflatex = 'pdflatex ' . $ENV{'LATEXOPTS'} . ' %O %S'; $lualatex = 'lualatex ' . $ENV{'LATEXOPTS'} . ' %O %S'; $xelatex = 'xelatex --no-pdf ' . $ENV{'LATEXOPTS'} . ' %O %S'; $makeindex = 'makeindex -s python.ist %O -o %D %S'; add_cus_dep( "glo", "gls", 0, "makeglo" ); sub makeglo { return system( "makeindex -s gglo.ist -o '$_[0].gls' '$_[0].glo'" ); } [rtd-command-info] start-time: 2020-11-11T01:44:08.604972Z, end-time: 2020-11-11T01:44:18.606073Z, duration: 10, exit-code: 0 latexmk -r latexmkrc -pdf -f -dvi- -ps- -jobname=feature-labs-inc-evalml -interaction=nonstopmode Use of uninitialized value $ENV{"LATEXOPTS"} in concatenation (.) or string at (eval 10) line 1, chunk 1. Use of uninitialized value $ENV{"LATEXOPTS"} in concatenation (.) or string at (eval 10) line 2, chunk 1. Use of uninitialized value $ENV{"LATEXOPTS"} in concatenation (.) or string at (eval 10) line 3, chunk 1. Use of uninitialized value $ENV{"LATEXOPTS"} in concatenation (.) or string at (eval 10) line 4, chunk 1. Subroutine makeglo redefined at (eval 11) line 7, chunk 1. 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Package longtable Warning: Column widths have changed (longtable) in table 191 on input line 37575. Package longtable Warning: Column widths have changed (longtable) in table 192 on input line 37614. LaTeX Warning: Hyper reference `generated/evalml.utils.import_or_raise:evalml.u tils.import_or_raise' on page 375 undefined on input line 37643. LaTeX Warning: Hyper reference `generated/evalml.utils.convert_to_seconds:evalm l.utils.convert_to_seconds' on page 375 undefined on input line 37648. LaTeX Warning: Hyper reference `generated/evalml.utils.get_random_state:evalml. utils.get_random_state' on page 375 undefined on input line 37653. LaTeX Warning: Hyper reference `generated/evalml.utils.get_random_seed:evalml.u tils.get_random_seed' on page 375 undefined on input line 37658. Package longtable Warning: Column widths have changed (longtable) in table 193 on input line 37663. [375 <./inheritance-c18ad8ab8f4940926b3f303c62cb8aede2781316.pdf>] [376] [377] [378] Chapter 6. [379] Underfull \hbox (badness 10000) in paragraph at lines 37855--37856 []\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 37855--37856 \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 37866--37867 []\T1/ptm/m/n/10 Added stacked en-sem-ble com-po-nent classes (\T1/pcr/m/n/10 S tackedEnsembleClassifier\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 37884--37885 []\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 37899--37900 []\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 [380] [381] Underfull \hbox (badness 10000) in paragraph at lines 38062--38063 []\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 . 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[387] Underfull \hbox (badness 10000) in paragraph at lines 38702--38703 []\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. [388] Underfull \hbox (badness 10000) in paragraph at lines 38746--38747 []\T1/ptm/m/n/10 Deleted static pipelines and refac-tored tests in-volv-ing sta tic pipelines, re-moved Underfull \hbox (badness 10000) in paragraph at lines 38836--38837 []\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 [389] Underfull \hbox (badness 10000) in paragraph at lines 38914--38915 []\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 38920--38921 []\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 [390] Underfull \hbox (badness 10000) in paragraph at lines 38956--38957 []\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 38972--38973 []\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 . 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[396] Underfull \hbox (badness 8113) in paragraph at lines 39569--39570 []\T1/pcr/m/n/10 PipelineBase.name \T1/ptm/m/n/10 no longer re-turns struc-ture of pipeline and has been re-placed by Underfull \hbox (badness 5787) in paragraph at lines 39575--39576 []\T1/pcr/m/n/10 pipelines/utils.save_pipeline \T1/ptm/m/n/10 and \T1/pcr/m/n/1 0 pipelines/utils.load_pipeline \T1/ptm/m/n/10 moved to Underfull \hbox (badness 10000) in paragraph at lines 39593--39594 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 n_jobs \T1/ptm/m/n/10 as pa-ram-e-ter for \T1/pcr/m/n/10 AutoClassificationSearch \T1/ptm/m/n/10 and [397] [398] Underfull \hbox (badness 10000) in paragraph at lines 39754--39755 []\T1/ptm/m/n/10 Renamed au-toml classes to \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 and [399] [400] [401] No file feature-labs-inc-evalml.ind. Package longtable Warning: Table widths have changed. Rerun LaTeX. [402] (./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 (406 pages, 1825781 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 (1090 entries accepted, 0 rejected). Sorting entries...........done (11531 comparisons). Generating output file feature-labs-inc-evalml.ind.....done (2023 lines written, 0 warnings). Output written in feature-labs-inc-evalml.ind. Transcript written in feature-labs-inc-evalml.ilg. Rule 'pdflatex': File changes, etc: Changed files, or newly in use since previous run(s): 'feature-labs-inc-evalml.aux' 'feature-labs-inc-evalml.ind' ------------ Run number 2 of rule 'pdflatex' ------------ ------------ Running 'pdflatex -interaction=nonstopmode -recorder --jobname="feature-labs-inc-evalml" "EvalML.tex"' ------------ Latexmk: applying rule 'pdflatex'... This is pdfTeX, Version 3.14159265-2.6-1.40.18 (TeX Live 2017/Debian) (preloaded format=pdflatex) restricted \write18 enabled. entering extended mode (./EvalML.tex LaTeX2e <2017-04-15> Babel <3.18> and hyphenation patterns for 84 language(s) loaded. 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\T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [228] [229] Underfull \hbox (badness 10000) in paragraph at lines 23066--23066 []\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 23066--23066 \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 23066--23066 \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 , [230 <./inheritance-2889a5fa7a3b2940070d497fa003a7d38160dea9.pdf>] [231] [232] Underfull \hbox (badness 10000) in paragraph at lines 23380--23380 []\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 23380--23380 \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- [233 <./inheritance-d3109a9e9ae40d007fe45fd2a0a04efd81b3a627.pdf>] [234] 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10000) in paragraph at lines 24973--24973 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [247 <./inheritance-9dfbed94778375ab55d37e099bde67f7ab21a3f0.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 25108--25108 []\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 , [248] [249] Underfull \hbox (badness 10000) in paragraph at lines 25317--25317 []\T1/ptm/m/it/10 criterion='mse'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25317--25317 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25317--25317 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25317--25317 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (16.18385pt too wide) in paragraph at lines 25317--25317 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25317--25317 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [250 <./inheritance-c219d3bb1ff5e811e8bc9d5d9463060a6823f6bd.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 25452--25452 []\T1/ptm/m/it/10 criterion='mse'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_features= 'auto'\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 25452--25452 \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 , [251] [252] Underfull \hbox (badness 10000) in paragraph at lines 25717--25717 []\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- [253 <./inheritance-9d2656e4ebd0931d0ca08e2ea5d57113b4c24eb4.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 25748--25748 []\T1/ptm/m/it/10 conf_mat\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- [254] Overfull \hbox (137.00916pt too wide) in paragraph at lines 25862--25862 [] 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ran-dom [366 <./inheritance-e4e3c9a0f1f793dff1f76aef52409da9ed9af5b4.pdf>] [367 <./inhe ritance-6935cc40f6afd67cf401ab4b0ba2bb63290ca257.pdf>] [368 <./inheritance-f5b5 a447a229385d3094171e9a86c8e3221f6f8d.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 36904--36906 []\T1/ptm/m/n/10 are Underfull \hbox (badness 10000) in paragraph at lines 36945--36947 []\T1/ptm/m/n/10 and [369] [370 <./inheritance-190eed31430f058fca34ee45fdb5e009a6919d9b.pdf>] [371 <./inheritance-0f00587d1d48e49dc0402ad09ee3fbb11ae512cf.pdf>] [372 <./inhe ritance-816e3c91555eb5224de51c60c4e28e23db747d97.pdf>] [373 <./inheritance-5576 b771f5615739cf327a6dd55b510a3f280ea6.pdf>] [374 <./inheritance-9d7aac3b6c2e0aed 0555fa923a3e3e94de4b6ce9.pdf>] [375 <./inheritance-c18ad8ab8f4940926b3f303c62cb 8aede2781316.pdf>] [376] [377] [378] Chapter 6. [379] Underfull \hbox (badness 10000) in paragraph at lines 37855--37856 []\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 37855--37856 \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 37866--37867 []\T1/ptm/m/n/10 Added stacked en-sem-ble com-po-nent classes (\T1/pcr/m/n/10 S tackedEnsembleClassifier\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 37884--37885 []\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 37899--37900 []\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 [380] [381] Underfull \hbox (badness 10000) in paragraph at lines 38062--38063 []\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 [382] Underfull \hbox (badness 10000) in paragraph at lines 38148--38149 []\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 [383] [384] Underfull \hbox (badness 10000) in paragraph at lines 38362--38365 [] [385] [386] Underfull \hbox (badness 10000) in paragraph at lines 38584--38585 []\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 38611--38612 []\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 38614--38615 []\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 38638--38639 []\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. [387] Underfull \hbox (badness 10000) in paragraph at lines 38702--38703 []\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. [388] Underfull \hbox (badness 10000) in paragraph at lines 38746--38747 []\T1/ptm/m/n/10 Deleted static pipelines and refac-tored tests in-volv-ing sta tic pipelines, re-moved Underfull \hbox (badness 10000) in paragraph at lines 38836--38837 []\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 [389] Underfull \hbox (badness 10000) in paragraph at lines 38914--38915 []\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 38920--38921 []\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 [390] Underfull \hbox (badness 10000) in paragraph at lines 38956--38957 []\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 38972--38973 []\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 [391] Underfull \hbox (badness 10000) in paragraph at lines 39058--39059 []\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 [392] [393] Underfull \hbox (badness 10000) in paragraph at lines 39295--39296 []\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 39301--39302 []\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 , [394] Underfull \hbox (badness 10000) in paragraph at lines 39435--39436 []\T1/pcr/m/n/10 pipeline.feature_importance_graph \T1/ptm/m/n/10 has been re-n amed to \T1/pcr/m/n/10 pipeline. Overfull \vbox (1.02501pt too high) detected at line 39441 [395] Underfull \hbox (badness 10000) in paragraph at lines 39453--39454 []\T1/ptm/m/n/10 Renamed \T1/pcr/m/n/10 PipelineBase.name \T1/ptm/m/n/10 as \T1 /pcr/m/n/10 PipelineBase.summary \T1/ptm/m/n/10 and re-de-fined Underfull \hbox (badness 10000) in paragraph at lines 39495--39496 []\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 39498--39499 []\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. [396] Underfull \hbox (badness 8113) in paragraph at lines 39569--39570 []\T1/pcr/m/n/10 PipelineBase.name \T1/ptm/m/n/10 no longer re-turns struc-ture of pipeline and has been re-placed by Underfull \hbox (badness 5787) in paragraph at lines 39575--39576 []\T1/pcr/m/n/10 pipelines/utils.save_pipeline \T1/ptm/m/n/10 and \T1/pcr/m/n/1 0 pipelines/utils.load_pipeline \T1/ptm/m/n/10 moved to Underfull \hbox (badness 10000) in paragraph at lines 39593--39594 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 n_jobs \T1/ptm/m/n/10 as pa-ram-e-ter for \T1/pcr/m/n/10 AutoClassificationSearch \T1/ptm/m/n/10 and [397] [398] Underfull \hbox (badness 10000) in paragraph at lines 39754--39755 []\T1/ptm/m/n/10 Renamed au-toml classes to \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 and [399] [400] [401] (./feature-labs-inc-evalml.ind [402] Underfull \hbox (badness 10000) in paragraph at lines 8--10 []\T1/pcr/m/n/10 __eq__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.Da taCheckError Underfull \hbox (badness 10000) in paragraph at lines 10--12 []\T1/pcr/m/n/10 __eq__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.Da taCheckMessage Underfull \hbox (badness 10000) in paragraph at lines 12--14 []\T1/pcr/m/n/10 __eq__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.Da taCheckWarning Overfull \hbox (42.5106pt too wide) in paragraph at lines 15--17 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.autom l_algorithm.AutoMLAlgorithm Overfull \hbox (43.66023pt too wide) in paragraph at lines 17--19 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.autom l_algorithm.IterativeAlgorithm Overfull \hbox (25.17087pt too wide) in paragraph at lines 19--21 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. 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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 660--662 \T1/ptm/m/it/10 evalml.model_understanding.prediction_explanations\T1/ptm/m/n/1 0 ), Underfull \hbox (badness 10000) in paragraph at lines 662--664 []\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 662--664 \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 664--666 \T1/ptm/m/it/10 ule evalml.model_understanding.prediction_explanations\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 667--669 []\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 669--671 []\T1/pcr/m/n/10 ExtraTreesRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in 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lines 698--700 []\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 700--702 []\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 702--704 []\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 704--705 []\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 707--709 []\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 709--711 []\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 711--712 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.Estimator [410] Overfull \hbox (4.9501pt too wide) in paragraph at lines 712--714 []\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 714--716 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.ExtraTreesRegressor Overfull \hbox (4.36026pt too wide) in paragraph at lines 717--719 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 719--721 []\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 721--723 []\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 723--725 []\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 727--729 []\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 729--731 []\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 731--733 []\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 733--735 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.RFRegressorSelectFromModel Underfull \hbox (badness 10000) in paragraph at lines 735--737 []\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 737--739 []\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 739--741 []\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 741--743 []\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 743--745 []\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 745--747 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 747--748 []\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 752--754 []\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 754--756 []\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 756--758 []\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 758--760 []\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 761--762 []\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 (63.60025pt too wide) in paragraph at lines 762--764 []\T1/pcr/m/n/10 fit_transform() 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wide) in paragraph at lines 774--776 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.PerColumnImputer Overfull \hbox (104.44995pt too wide) in paragraph at lines 776--778 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.RFClassifierSelectFromModel Overfull \hbox (105.89014pt too wide) in paragraph at lines 778--780 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.RFRegressorSelectFromModel Overfull \hbox (42.68059pt too wide) in paragraph at lines 780--782 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.SelectColumns Overfull \hbox (42.12065pt too wide) in paragraph at lines 782--784 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.SimpleImputer Overfull \hbox (45.09074pt too wide) in paragraph at lines 784--786 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 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(rerunfilecheck) Rerun to get outlines right (rerunfilecheck) or use package `bookmark'. LaTeX Warning: There were multiply-defined labels. ) (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 (429 pages, 1942175 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' Latexmk: List of undefined refs and citations: Label `user_guide/components:Required-fields' multiply defined Label `user_guide/components:Required-methods' multiply defined Latexmk: Summary of warnings: Latex found 3 multiply defined reference(s) Rule 'pdflatex': File changes, etc: Changed files, or newly in use since previous run(s): 'feature-labs-inc-evalml.aux' 'feature-labs-inc-evalml.out' 'feature-labs-inc-evalml.toc' ------------ Run number 3 of rule 'pdflatex' ------------ ------------ Running 'pdflatex -interaction=nonstopmode -recorder --jobname="feature-labs-inc-evalml" "EvalML.tex"' ------------ Latexmk: applying rule 'pdflatex'... This is pdfTeX, Version 3.14159265-2.6-1.40.18 (TeX Live 2017/Debian) (preloaded format=pdflatex) restricted \write18 enabled. entering extended mode (./EvalML.tex LaTeX2e <2017-04-15> Babel <3.18> and hyphenation patterns for 84 language(s) loaded. 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\T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [228] [229] Underfull \hbox (badness 10000) in paragraph at lines 23066--23066 []\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 23066--23066 \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 23066--23066 \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 , [230 <./inheritance-2889a5fa7a3b2940070d497fa003a7d38160dea9.pdf>] [231] [232] Underfull \hbox (badness 10000) in paragraph at lines 23380--23380 []\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 23380--23380 \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- [233 <./inheritance-d3109a9e9ae40d007fe45fd2a0a04efd81b3a627.pdf>] [234] 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ran-dom [366 <./inheritance-e4e3c9a0f1f793dff1f76aef52409da9ed9af5b4.pdf>] [367 <./inhe ritance-6935cc40f6afd67cf401ab4b0ba2bb63290ca257.pdf>] [368 <./inheritance-f5b5 a447a229385d3094171e9a86c8e3221f6f8d.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 36904--36906 []\T1/ptm/m/n/10 are Underfull \hbox (badness 10000) in paragraph at lines 36945--36947 []\T1/ptm/m/n/10 and [369] [370 <./inheritance-190eed31430f058fca34ee45fdb5e009a6919d9b.pdf>] [371 <./inheritance-0f00587d1d48e49dc0402ad09ee3fbb11ae512cf.pdf>] [372 <./inhe ritance-816e3c91555eb5224de51c60c4e28e23db747d97.pdf>] [373 <./inheritance-5576 b771f5615739cf327a6dd55b510a3f280ea6.pdf>] [374 <./inheritance-9d7aac3b6c2e0aed 0555fa923a3e3e94de4b6ce9.pdf>] [375 <./inheritance-c18ad8ab8f4940926b3f303c62cb 8aede2781316.pdf>] [376] [377] [378] Chapter 6. [379] Underfull \hbox (badness 10000) in paragraph at lines 37855--37856 []\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 37855--37856 \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 37866--37867 []\T1/ptm/m/n/10 Added stacked en-sem-ble com-po-nent classes (\T1/pcr/m/n/10 S tackedEnsembleClassifier\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 37884--37885 []\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 37899--37900 []\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 [380] [381] Underfull \hbox (badness 10000) in paragraph at lines 38062--38063 []\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 [382] Underfull \hbox (badness 10000) in paragraph at lines 38148--38149 []\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 [383] [384] Underfull \hbox (badness 10000) in paragraph at lines 38362--38365 [] [385] [386] Underfull \hbox (badness 10000) in paragraph at lines 38584--38585 []\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 38611--38612 []\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 38614--38615 []\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 38638--38639 []\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. [387] Underfull \hbox (badness 10000) in paragraph at lines 38702--38703 []\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. [388] Underfull \hbox (badness 10000) in paragraph at lines 38746--38747 []\T1/ptm/m/n/10 Deleted static pipelines and refac-tored tests in-volv-ing sta tic pipelines, re-moved Underfull \hbox (badness 10000) in paragraph at lines 38836--38837 []\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 [389] Underfull \hbox (badness 10000) in paragraph at lines 38914--38915 []\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 38920--38921 []\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 [390] Underfull \hbox (badness 10000) in paragraph at lines 38956--38957 []\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 38972--38973 []\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 [391] Underfull \hbox (badness 10000) in paragraph at lines 39058--39059 []\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 [392] [393] Underfull \hbox (badness 10000) in paragraph at lines 39295--39296 []\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 39301--39302 []\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 , [394] Underfull \hbox (badness 10000) in paragraph at lines 39435--39436 []\T1/pcr/m/n/10 pipeline.feature_importance_graph \T1/ptm/m/n/10 has been re-n amed to \T1/pcr/m/n/10 pipeline. Overfull \vbox (1.02501pt too high) detected at line 39441 [395] Underfull \hbox (badness 10000) in paragraph at lines 39453--39454 []\T1/ptm/m/n/10 Renamed \T1/pcr/m/n/10 PipelineBase.name \T1/ptm/m/n/10 as \T1 /pcr/m/n/10 PipelineBase.summary \T1/ptm/m/n/10 and re-de-fined Underfull \hbox (badness 10000) in paragraph at lines 39495--39496 []\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 39498--39499 []\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. [396] Underfull \hbox (badness 8113) in paragraph at lines 39569--39570 []\T1/pcr/m/n/10 PipelineBase.name \T1/ptm/m/n/10 no longer re-turns struc-ture of pipeline and has been re-placed by Underfull \hbox (badness 5787) in paragraph at lines 39575--39576 []\T1/pcr/m/n/10 pipelines/utils.save_pipeline \T1/ptm/m/n/10 and \T1/pcr/m/n/1 0 pipelines/utils.load_pipeline \T1/ptm/m/n/10 moved to Underfull \hbox (badness 10000) in paragraph at lines 39593--39594 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 n_jobs \T1/ptm/m/n/10 as pa-ram-e-ter for \T1/pcr/m/n/10 AutoClassificationSearch \T1/ptm/m/n/10 and [397] [398] Underfull \hbox (badness 10000) in paragraph at lines 39754--39755 []\T1/ptm/m/n/10 Renamed au-toml classes to \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 and [399] [400] [401] (./feature-labs-inc-evalml.ind [402] Underfull \hbox (badness 10000) in paragraph at lines 8--10 []\T1/pcr/m/n/10 __eq__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.Da taCheckError Underfull \hbox (badness 10000) in paragraph at lines 10--12 []\T1/pcr/m/n/10 __eq__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.Da taCheckMessage Underfull \hbox (badness 10000) in paragraph at lines 12--14 []\T1/pcr/m/n/10 __eq__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.Da taCheckWarning Overfull \hbox (42.5106pt too wide) in paragraph at lines 15--17 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.autom l_algorithm.AutoMLAlgorithm Overfull \hbox (43.66023pt too wide) in paragraph at lines 17--19 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.autom l_algorithm.IterativeAlgorithm Overfull \hbox (25.17087pt too wide) in paragraph at lines 19--21 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. ClassImbalanceDataCheck Underfull \hbox (badness 10000) in paragraph at lines 21--23 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. DataCheckError Underfull \hbox (badness 10000) in paragraph at lines 27--28 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. DataChecks Overfull \hbox (5.18097pt too wide) in paragraph at lines 30--32 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. HighlyNullDataCheck Overfull \hbox (6.84117pt too wide) in paragraph at lines 32--34 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. IDColumnsDataCheck Overfull \hbox (13.94106pt too wide) in paragraph at lines 34--36 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. InvalidTargetDataCheck Overfull \hbox (7.95114pt too wide) in paragraph at lines 36--38 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. 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645--646 []\T1/pcr/m/n/10 describe_pipeline() Underfull \hbox (badness 10000) in paragraph at lines 645--646 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.AutoMLSearch method\T1/ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 646--648 []\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 648--650 []\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 651--652 []\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 655--657 []\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 657--659 []\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 660--662 []\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 660--662 \T1/ptm/m/it/10 evalml.model_understanding.prediction_explanations\T1/ptm/m/n/1 0 ), Underfull \hbox (badness 10000) in paragraph at lines 662--664 []\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 662--664 \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 664--666 \T1/ptm/m/it/10 ule evalml.model_understanding.prediction_explanations\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 667--669 []\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 669--671 []\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 678--679 []\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 679--681 []\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 681--683 []\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 683--685 []\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 694--696 []\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 696--698 []\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 698--700 []\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 700--702 []\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 702--704 []\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 704--705 []\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 707--709 []\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 709--711 []\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 711--712 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.Estimator [410] Overfull \hbox (4.9501pt too wide) in paragraph at lines 712--714 []\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 714--716 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.ExtraTreesRegressor Overfull \hbox (4.36026pt too wide) in paragraph at lines 717--719 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 719--721 []\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 721--723 []\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 723--725 []\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 727--729 []\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 729--731 []\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 731--733 []\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 733--735 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.RFRegressorSelectFromModel Underfull \hbox (badness 10000) in paragraph at lines 735--737 []\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 737--739 []\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 739--741 []\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 741--743 []\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 743--745 []\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 745--747 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 747--748 []\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 752--754 []\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 754--756 []\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 756--758 []\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 758--760 []\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 761--762 []\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 (63.60025pt too wide) in paragraph at lines 762--764 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DateTimeFeaturizer Overfull \hbox (96.96011pt too wide) in paragraph at lines 764--766 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DelayedFeatureTransformer Overfull \hbox (39.46088pt too wide) in paragraph at lines 766--768 []\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 768--770 []\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 770--772 []\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 772--774 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.OneHotEncoder Overfull \hbox (60.21062pt too wide) in paragraph at lines 774--776 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.PerColumnImputer Overfull \hbox (104.44995pt too wide) in paragraph at lines 776--778 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.RFClassifierSelectFromModel Overfull \hbox (105.89014pt too wide) in paragraph at lines 778--780 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.RFRegressorSelectFromModel Overfull \hbox (42.68059pt too wide) in paragraph at lines 780--782 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.SelectColumns Overfull \hbox (42.12065pt too wide) in paragraph at lines 782--784 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.SimpleImputer Overfull \hbox (45.09074pt too wide) in paragraph at lines 784--786 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 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[]\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ModeBaselineBinaryPipeline Overfull \hbox (65.1799pt too wide) in paragraph at lines 814--816 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ModeBaselineMulticlassPipeline Overfull \hbox (62.97968pt too wide) in paragraph at lines 816--818 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.MulticlassClassificationPipeline [411] Underfull \hbox (badness 10000) in paragraph at lines 818--819 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.PipelineBase Overfull \hbox (9.97072pt too wide) in paragraph at lines 819--821 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.RegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 821--823 []\T1/pcr/m/n/10 get_core_objective_names() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 823--824 []\T1/pcr/m/n/10 get_core_objectives() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-u le Underfull \hbox (badness 10000) in paragraph at lines 824--826 []\T1/pcr/m/n/10 get_default_primary_search_objective() Underfull \hbox (badness 10000) in paragraph at lines 826--828 []\T1/pcr/m/n/10 get_estimators() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 828--830 []\T1/pcr/m/n/10 get_feature_names() Underfull \hbox (badness 10000) in paragraph at lines 828--830 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Overfull \hbox (80.44995pt too wide) in paragraph at lines 830--832 []\T1/pcr/m/n/10 get_names() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.RFClassifierSelectFromModel Overfull \hbox (81.89014pt too wide) in paragraph at lines 832--834 []\T1/pcr/m/n/10 get_names() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.RFRegressorSelectFromModel Underfull \hbox 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information){/usr/share/texlive/texmf-d ist/fonts/enc/dvips/base/8r.enc} Output written on feature-labs-inc-evalml.pdf (429 pages, 1942348 bytes). 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