Read the Docs build information Build id: 302548 Project: feature-labs-inc-evalml Version: latest Commit: a857ecc468a03af42d967c07bbe5e2c03db06271 Date: 2020-03-16T14:59:31.471188Z State: finished Success: False [rtd-command-info] start-time: 2020-03-16T15:06:37.995601Z, end-time: 2020-03-16T15:06:38.531376Z, duration: 0, exit-code: 0 git remote set-url origin git@github.com:FeatureLabs/evalml.git [rtd-command-info] start-time: 2020-03-16T15:06:38.689389Z, end-time: 2020-03-16T15:06:39.976954Z, duration: 1, exit-code: 0 git fetch origin --force --tags --prune --prune-tags --depth 50 Warning: Permanently added 'github.com,192.30.255.112' (RSA) to the list of known hosts. From github.com:FeatureLabs/evalml * [new branch] dep-update -> origin/dep-update [rtd-command-info] start-time: 2020-03-16T15:06:40.542764Z, end-time: 2020-03-16T15:06:41.308155Z, duration: 0, exit-code: 0 git checkout --force origin/master HEAD is now at a857ecc Automated Latest Dependency Updates (#492) [rtd-command-info] start-time: 2020-03-16T15:06:41.483859Z, end-time: 2020-03-16T15:06:42.180728Z, duration: 0, exit-code: 0 git clean -d -f -f [rtd-command-info] start-time: 2020-03-16T15:06:44.489423Z, end-time: 2020-03-16T15:06:52.274436Z, duration: 7, exit-code: 0 python3.7 -mvirtualenv Using base prefix '/home/docs/.pyenv/versions/3.7.3' New python executable in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/bin/python3.7 Also creating executable in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/bin/python Installing setuptools, pip, wheel... done. [rtd-command-info] start-time: 2020-03-16T15:06:52.452077Z, end-time: 2020-03-16T15:06:54.468294Z, duration: 2, exit-code: 0 python -m pip install --upgrade --cache-dir /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/.cache/pip pip Requirement already up-to-date: pip in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (20.0.2) [rtd-command-info] start-time: 2020-03-16T15:06:54.630209Z, end-time: 2020-03-16T15:07:12.045555Z, duration: 17, exit-code: 0 python -m pip install --upgrade --cache-dir /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/.cache/pip Pygments==2.3.1 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<1.1 Collecting Pygments==2.3.1 Using cached Pygments-2.3.1-py2.py3-none-any.whl (849 kB) Collecting setuptools==41.0.1 Using cached setuptools-41.0.1-py2.py3-none-any.whl (575 kB) Collecting docutils==0.14 Using cached docutils-0.14-py3-none-any.whl (543 kB) Processing /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/.cache/pip/wheels/16/03/37/f0a64ab894c9102906f192db1a4071b7592292ad661563c69b/mock-1.0.1-py3-none-any.whl Collecting pillow==5.4.1 Using cached Pillow-5.4.1-cp37-cp37m-manylinux1_x86_64.whl (2.0 MB) Collecting alabaster!=0.7.5,<0.8,>=0.7 Using cached alabaster-0.7.12-py2.py3-none-any.whl (14 kB) Collecting commonmark==0.8.1 Using cached commonmark-0.8.1-py2.py3-none-any.whl (47 kB) Collecting recommonmark==0.5.0 Using cached recommonmark-0.5.0-py2.py3-none-any.whl (9.8 kB) Collecting sphinx<2 Using cached Sphinx-1.8.5-py2.py3-none-any.whl (3.1 MB) Collecting sphinx-rtd-theme<0.5 Using cached sphinx_rtd_theme-0.4.3-py2.py3-none-any.whl (6.4 MB) Collecting readthedocs-sphinx-ext<1.1 Using cached readthedocs_sphinx_ext-1.0.1-py2.py3-none-any.whl (14 kB) Processing /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/.cache/pip/wheels/56/b0/fe/4410d17b32f1f0c3cf54cdfb2bc04d7b4b8f4ae377e2229ba0/future-0.18.2-py3-none-any.whl Collecting snowballstemmer>=1.1 Using cached snowballstemmer-2.0.0-py2.py3-none-any.whl (97 kB) Collecting requests>=2.0.0 Using cached requests-2.23.0-py2.py3-none-any.whl (58 kB) Collecting six>=1.5 Using cached six-1.14.0-py2.py3-none-any.whl (10 kB) Collecting sphinxcontrib-websupport Using cached sphinxcontrib_websupport-1.2.0-py2.py3-none-any.whl (39 kB) Collecting Jinja2>=2.3 Using cached Jinja2-2.11.1-py2.py3-none-any.whl (126 kB) Collecting imagesize Using cached imagesize-1.2.0-py2.py3-none-any.whl (4.8 kB) Collecting packaging Using cached packaging-20.3-py2.py3-none-any.whl (37 kB) Collecting babel!=2.0,>=1.3 Using cached Babel-2.8.0-py2.py3-none-any.whl (8.6 MB) Collecting idna<3,>=2.5 Using cached idna-2.9-py2.py3-none-any.whl (58 kB) Collecting chardet<4,>=3.0.2 Using cached chardet-3.0.4-py2.py3-none-any.whl (133 kB) Collecting urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 Using cached urllib3-1.25.8-py2.py3-none-any.whl (125 kB) Collecting certifi>=2017.4.17 Using cached certifi-2019.11.28-py2.py3-none-any.whl (156 kB) Collecting MarkupSafe>=0.23 Using cached MarkupSafe-1.1.1-cp37-cp37m-manylinux1_x86_64.whl (27 kB) Collecting pyparsing>=2.0.2 Using cached pyparsing-2.4.6-py2.py3-none-any.whl (67 kB) Collecting pytz>=2015.7 Using cached pytz-2019.3-py2.py3-none-any.whl (509 kB) Installing collected packages: Pygments, setuptools, docutils, mock, pillow, alabaster, future, commonmark, snowballstemmer, idna, chardet, urllib3, certifi, requests, six, sphinxcontrib-websupport, MarkupSafe, Jinja2, imagesize, pyparsing, packaging, pytz, babel, sphinx, recommonmark, sphinx-rtd-theme, readthedocs-sphinx-ext Attempting uninstall: setuptools Found existing installation: setuptools 46.0.0 Uninstalling setuptools-46.0.0: Successfully uninstalled setuptools-46.0.0 Successfully installed Jinja2-2.11.1 MarkupSafe-1.1.1 Pygments-2.3.1 alabaster-0.7.12 babel-2.8.0 certifi-2019.11.28 chardet-3.0.4 commonmark-0.8.1 docutils-0.14 future-0.18.2 idna-2.9 imagesize-1.2.0 mock-1.0.1 packaging-20.3 pillow-5.4.1 pyparsing-2.4.6 pytz-2019.3 readthedocs-sphinx-ext-1.0.1 recommonmark-0.5.0 requests-2.23.0 setuptools-41.0.1 six-1.14.0 snowballstemmer-2.0.0 sphinx-1.8.5 sphinx-rtd-theme-0.4.3 sphinxcontrib-websupport-1.2.0 urllib3-1.25.8 [rtd-command-info] start-time: 2020-03-16T15:07:12.222034Z, end-time: 2020-03-16T15:08:59.803017Z, duration: 107, exit-code: 0 python -m pip install --upgrade --upgrade-strategy eager --cache-dir /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/.cache/pip . Processing /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest Collecting scipy>=1.2.1 Using cached scipy-1.4.1-cp37-cp37m-manylinux1_x86_64.whl (26.1 MB) Collecting scikit-learn!=0.22,>=0.21.3 Using cached scikit_learn-0.22.2.post1-cp37-cp37m-manylinux1_x86_64.whl (7.1 MB) Collecting numpy>=1.16.4 Using cached numpy-1.18.1-cp37-cp37m-manylinux1_x86_64.whl (20.1 MB) Collecting pandas>=0.25.0 Using cached pandas-1.0.2-cp37-cp37m-manylinux1_x86_64.whl (10.1 MB) Collecting xgboost>=0.82 Using cached xgboost-1.0.2-py3-none-manylinux1_x86_64.whl (109.7 MB) Collecting tqdm>=4.33.0 Using cached tqdm-4.43.0-py2.py3-none-any.whl (59 kB) Collecting scikit-optimize[plots] Using cached scikit_optimize-0.7.4-py2.py3-none-any.whl (80 kB) Collecting colorama Using cached colorama-0.4.3-py2.py3-none-any.whl (15 kB) Collecting joblib>=0.13 Using cached joblib-0.14.1-py2.py3-none-any.whl (294 kB) Collecting category_encoders>=2.0.0 Using cached category_encoders-2.1.0-py2.py3-none-any.whl (100 kB) Collecting cloudpickle>=0.2.2 Using cached cloudpickle-1.3.0-py2.py3-none-any.whl (26 kB) Collecting plotly>=4.2.1 Using cached plotly-4.5.4-py2.py3-none-any.whl (7.1 MB) Collecting ipywidgets>=7.5 Using cached ipywidgets-7.5.1-py2.py3-none-any.whl (121 kB) Collecting catboost>=0.20 Using cached catboost-0.22-cp37-none-manylinux1_x86_64.whl (64.4 MB) Requirement already up-to-date: pytz>=2017.2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from pandas>=0.25.0->evalml==0.7.0) (2019.3) Collecting python-dateutil>=2.6.1 Using cached python_dateutil-2.8.1-py2.py3-none-any.whl (227 kB) Collecting pyaml>=16.9 Using cached pyaml-20.3.1-py2.py3-none-any.whl (17 kB) Collecting matplotlib>=2.0.0; extra == "plots" Using cached matplotlib-3.2.0-cp37-cp37m-manylinux1_x86_64.whl (12.4 MB) Collecting patsy>=0.4.1 Using cached patsy-0.5.1-py2.py3-none-any.whl (231 kB) Collecting statsmodels>=0.6.1 Using cached statsmodels-0.11.1-cp37-cp37m-manylinux1_x86_64.whl (8.7 MB) Requirement already up-to-date: six in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from plotly>=4.2.1->evalml==0.7.0) (1.14.0) Processing /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/.cache/pip/wheels/f9/8d/8d/f6af3f7f9eea3553bc2fe6d53e4b287dad18b06a861ac56ddf/retrying-1.3.3-py3-none-any.whl Collecting ipykernel>=4.5.1 Using cached ipykernel-5.1.4-py3-none-any.whl (116 kB) Collecting nbformat>=4.2.0 Using cached nbformat-5.0.4-py3-none-any.whl (169 kB) Collecting ipython>=4.0.0; python_version >= "3.3" Using cached ipython-7.13.0-py3-none-any.whl (780 kB) Collecting traitlets>=4.3.1 Using cached traitlets-4.3.3-py2.py3-none-any.whl (75 kB) Collecting widgetsnbextension~=3.5.0 Using cached widgetsnbextension-3.5.1-py2.py3-none-any.whl (2.2 MB) Collecting graphviz Using cached graphviz-0.13.2-py2.py3-none-any.whl (17 kB) Processing /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/.cache/pip/wheels/8a/55/a4/c0a81d27c33462cfdcb904db018f5550197e88b2b6b85beed2/PyYAML-5.3-cp37-cp37m-linux_x86_64.whl Collecting kiwisolver>=1.0.1 Using cached kiwisolver-1.1.0-cp37-cp37m-manylinux1_x86_64.whl (90 kB) Requirement already up-to-date: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from matplotlib>=2.0.0; extra == "plots"->scikit-optimize[plots]->evalml==0.7.0) (2.4.6) Collecting cycler>=0.10 Using cached cycler-0.10.0-py2.py3-none-any.whl (6.5 kB) Collecting jupyter-client Using cached jupyter_client-6.0.0-py3-none-any.whl (104 kB) Processing /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/.cache/pip/wheels/7d/14/fa/d88fb5da77d813ea0ffca38a2ab2a052874e9e1142bad0b348/tornado-6.0.4-cp37-cp37m-linux_x86_64.whl Collecting jupyter-core Using cached jupyter_core-4.6.3-py2.py3-none-any.whl (83 kB) Collecting jsonschema!=2.5.0,>=2.4 Using cached jsonschema-3.2.0-py2.py3-none-any.whl (56 kB) Collecting ipython-genutils Using cached ipython_genutils-0.2.0-py2.py3-none-any.whl (26 kB) Collecting setuptools>=18.5 Using cached setuptools-46.0.0-py3-none-any.whl (582 kB) Collecting decorator Using cached decorator-4.4.2-py2.py3-none-any.whl (9.2 kB) Collecting pygments Using cached Pygments-2.6.1-py3-none-any.whl (914 kB) Processing /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/.cache/pip/wheels/9e/56/4f/da13e448a8a5b8671b2954600d5355cf36e557c7aa5020139b/backcall-0.1.0-py3-none-any.whl Collecting pexpect; sys_platform != "win32" Using cached pexpect-4.8.0-py2.py3-none-any.whl (59 kB) Collecting jedi>=0.10 Using cached jedi-0.16.0-py2.py3-none-any.whl (1.1 MB) Collecting prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0 Using cached prompt_toolkit-3.0.4-py3-none-any.whl (351 kB) Collecting pickleshare Using cached pickleshare-0.7.5-py2.py3-none-any.whl (6.9 kB) Collecting notebook>=4.4.1 Using cached notebook-6.0.3-py3-none-any.whl (9.7 MB) Collecting pyzmq>=13 Using cached pyzmq-19.0.0-cp37-cp37m-manylinux1_x86_64.whl (1.1 MB) Processing /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/.cache/pip/wheels/57/74/e3/61db397ec89f304e49711ec9f68490f15814b80c1c0ee9b8c0/pyrsistent-0.15.7-cp37-cp37m-linux_x86_64.whl Collecting importlib-metadata; python_version < "3.8" Using cached importlib_metadata-1.5.0-py2.py3-none-any.whl (30 kB) Collecting attrs>=17.4.0 Using cached attrs-19.3.0-py2.py3-none-any.whl (39 kB) Collecting ptyprocess>=0.5 Using cached ptyprocess-0.6.0-py2.py3-none-any.whl (39 kB) Collecting parso>=0.5.2 Using cached parso-0.6.2-py2.py3-none-any.whl (97 kB) Collecting wcwidth Using cached wcwidth-0.1.8-py2.py3-none-any.whl (17 kB) Collecting terminado>=0.8.1 Using cached terminado-0.8.3-py2.py3-none-any.whl (33 kB) Collecting nbconvert Using cached nbconvert-5.6.1-py2.py3-none-any.whl (455 kB) Requirement already up-to-date: jinja2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.7.0) (2.11.1) Processing /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/.cache/pip/wheels/30/0c/26/59ba285bf65dc79d195e9b25e2ddde4c61070422729b0cd914/prometheus_client-0.7.1-py3-none-any.whl Collecting Send2Trash Using cached Send2Trash-1.5.0-py3-none-any.whl (12 kB) Collecting zipp>=0.5 Using cached zipp-3.1.0-py3-none-any.whl (4.9 kB) Collecting entrypoints>=0.2.2 Using cached entrypoints-0.3-py2.py3-none-any.whl (11 kB) Collecting mistune<2,>=0.8.1 Using cached mistune-0.8.4-py2.py3-none-any.whl (16 kB) Collecting defusedxml Using cached defusedxml-0.6.0-py2.py3-none-any.whl (23 kB) Collecting testpath Using cached testpath-0.4.4-py2.py3-none-any.whl (163 kB) Collecting bleach Using cached bleach-3.1.1-py2.py3-none-any.whl (150 kB) Processing /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/.cache/pip/wheels/63/99/01/9fe785b86d1e091a6b2a61e06ddb3d8eb1bc9acae5933d4740/pandocfilters-1.4.2-py3-none-any.whl Requirement already up-to-date: MarkupSafe>=0.23 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from jinja2->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.7.0) (1.1.1) Collecting webencodings Using cached webencodings-0.5.1-py2.py3-none-any.whl (11 kB) Building wheels for collected packages: evalml Building wheel for evalml (setup.py): started Building wheel for evalml (setup.py): finished with status 'done' Created wheel for evalml: filename=evalml-0.7.0-py3-none-any.whl size=5385680 sha256=555c2b918513e104c2355a14e658d3ffedbae121afa470faa232e1c3978c5627 Stored in directory: /tmp/pip-ephem-wheel-cache-fzf_qwr8/wheels/9e/21/10/381af54b3fd898f3030a593880d99f016a134a0a141dcf2f28 Successfully built evalml Installing collected packages: numpy, scipy, joblib, scikit-learn, python-dateutil, pandas, xgboost, tqdm, PyYAML, pyaml, setuptools, kiwisolver, cycler, matplotlib, scikit-optimize, colorama, patsy, statsmodels, category-encoders, cloudpickle, retrying, plotly, pyzmq, decorator, ipython-genutils, traitlets, jupyter-core, tornado, jupyter-client, pygments, backcall, ptyprocess, pexpect, parso, jedi, wcwidth, prompt-toolkit, pickleshare, ipython, ipykernel, pyrsistent, zipp, importlib-metadata, attrs, jsonschema, nbformat, terminado, entrypoints, mistune, defusedxml, testpath, webencodings, bleach, pandocfilters, nbconvert, prometheus-client, Send2Trash, notebook, widgetsnbextension, ipywidgets, graphviz, catboost, evalml Attempting uninstall: setuptools Found existing installation: setuptools 41.0.1 Uninstalling setuptools-41.0.1: Successfully uninstalled setuptools-41.0.1 Attempting uninstall: pygments Found existing installation: Pygments 2.3.1 Uninstalling Pygments-2.3.1: Successfully uninstalled Pygments-2.3.1 Successfully installed PyYAML-5.3 Send2Trash-1.5.0 attrs-19.3.0 backcall-0.1.0 bleach-3.1.1 catboost-0.22 category-encoders-2.1.0 cloudpickle-1.3.0 colorama-0.4.3 cycler-0.10.0 decorator-4.4.2 defusedxml-0.6.0 entrypoints-0.3 evalml-0.7.0 graphviz-0.13.2 importlib-metadata-1.5.0 ipykernel-5.1.4 ipython-7.13.0 ipython-genutils-0.2.0 ipywidgets-7.5.1 jedi-0.16.0 joblib-0.14.1 jsonschema-3.2.0 jupyter-client-6.0.0 jupyter-core-4.6.3 kiwisolver-1.1.0 matplotlib-3.2.0 mistune-0.8.4 nbconvert-5.6.1 nbformat-5.0.4 notebook-6.0.3 numpy-1.18.1 pandas-1.0.2 pandocfilters-1.4.2 parso-0.6.2 patsy-0.5.1 pexpect-4.8.0 pickleshare-0.7.5 plotly-4.5.4 prometheus-client-0.7.1 prompt-toolkit-3.0.4 ptyprocess-0.6.0 pyaml-20.3.1 pygments-2.6.1 pyrsistent-0.15.7 python-dateutil-2.8.1 pyzmq-19.0.0 retrying-1.3.3 scikit-learn-0.22.2.post1 scikit-optimize-0.7.4 scipy-1.4.1 setuptools-46.0.0 statsmodels-0.11.1 terminado-0.8.3 testpath-0.4.4 tornado-6.0.4 tqdm-4.43.0 traitlets-4.3.3 wcwidth-0.1.8 webencodings-0.5.1 widgetsnbextension-3.5.1 xgboost-1.0.2 zipp-3.1.0 [rtd-command-info] start-time: 2020-03-16T15:08:59.991331Z, end-time: 2020-03-16T15:09:21.329411Z, duration: 21, exit-code: 0 python -m pip install --exists-action=w --cache-dir /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/.cache/pip -r dev-requirements.txt Requirement already satisfied: scipy>=1.2.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r requirements.txt (line 1)) (1.4.1) Requirement already satisfied: scikit-learn!=0.22,>=0.21.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r requirements.txt (line 2)) (0.22.2.post1) Requirement already satisfied: numpy>=1.16.4 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r requirements.txt (line 3)) (1.18.1) Requirement already satisfied: pandas>=0.25.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r requirements.txt (line 4)) (1.0.2) Requirement already satisfied: xgboost>=0.82 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r requirements.txt (line 5)) (1.0.2) Requirement already satisfied: tqdm>=4.33.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r requirements.txt (line 6)) (4.43.0) Requirement already satisfied: scikit-optimize[plots] in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r requirements.txt (line 7)) (0.7.4) Requirement already satisfied: colorama in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r requirements.txt (line 8)) (0.4.3) Requirement already satisfied: joblib>=0.13 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r requirements.txt (line 9)) (0.14.1) Requirement already satisfied: category_encoders>=2.0.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r requirements.txt (line 10)) (2.1.0) Requirement already satisfied: cloudpickle>=0.2.2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r requirements.txt (line 11)) (1.3.0) Requirement already satisfied: plotly>=4.2.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r requirements.txt (line 12)) (4.5.4) Requirement already satisfied: ipywidgets>=7.5 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r requirements.txt (line 13)) (7.5.1) Requirement already satisfied: catboost>=0.20 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r requirements.txt (line 14)) (0.22) Collecting pytest==4.4.1 Using cached pytest-4.4.1-py2.py3-none-any.whl (223 kB) Collecting pytest-xdist==1.26.1 Using cached pytest_xdist-1.26.1-py2.py3-none-any.whl (35 kB) Collecting pytest-cov==2.6.1 Using cached pytest_cov-2.6.1-py2.py3-none-any.whl (16 kB) Collecting nbval==0.9.3 Using cached nbval-0.9.3-py2.py3-none-any.whl (22 kB) Requirement already satisfied: graphviz>=0.13 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r test-requirements.txt (line 5)) (0.13.2) Collecting codecov==2.0.15 Using cached codecov-2.0.15-py2.py3-none-any.whl (11 kB) Collecting flake8==3.7.0 Using cached flake8-3.7.0-py2.py3-none-any.whl (68 kB) Processing /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/.cache/pip/wheels/cb/ca/0d/db843e5869db016f92974eb145021a3920eec623f3e6adff59/autopep8-1.4.3-py2.py3-none-any.whl Collecting isort==4.3.4 Using cached isort-4.3.4-py3-none-any.whl (45 kB) Collecting nbsphinx==0.4.2 Using cached nbsphinx-0.4.2-py2.py3-none-any.whl (20 kB) Collecting Sphinx==2.0.1 Using cached Sphinx-2.0.1-py2.py3-none-any.whl (3.2 MB) Requirement already satisfied: sphinx_rtd_theme==0.4.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r dev-requirements.txt (line 8)) (0.4.3) Collecting nbconvert==5.5.0 Using cached nbconvert-5.5.0-py2.py3-none-any.whl (447 kB) Collecting s3fs>=0.3.0 Using cached s3fs-0.4.0-py3-none-any.whl (18 kB) Requirement already satisfied: python-dateutil>=2.6.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from pandas>=0.25.0->-r requirements.txt (line 4)) (2.8.1) Requirement already satisfied: pytz>=2017.2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from pandas>=0.25.0->-r requirements.txt (line 4)) (2019.3) Requirement already satisfied: pyaml>=16.9 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from scikit-optimize[plots]->-r requirements.txt (line 7)) (20.3.1) Requirement already satisfied: matplotlib>=2.0.0; extra == "plots" in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from scikit-optimize[plots]->-r requirements.txt (line 7)) (3.2.0) Requirement already satisfied: patsy>=0.4.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from category_encoders>=2.0.0->-r requirements.txt (line 10)) (0.5.1) Requirement already satisfied: statsmodels>=0.6.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from category_encoders>=2.0.0->-r requirements.txt (line 10)) (0.11.1) Requirement already satisfied: six in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from plotly>=4.2.1->-r requirements.txt (line 12)) (1.14.0) Requirement already satisfied: retrying>=1.3.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from plotly>=4.2.1->-r requirements.txt (line 12)) (1.3.3) Requirement already satisfied: widgetsnbextension~=3.5.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from ipywidgets>=7.5->-r requirements.txt (line 13)) (3.5.1) Requirement already satisfied: traitlets>=4.3.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from ipywidgets>=7.5->-r requirements.txt (line 13)) (4.3.3) Requirement already satisfied: nbformat>=4.2.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from ipywidgets>=7.5->-r requirements.txt (line 13)) (5.0.4) Requirement already satisfied: ipykernel>=4.5.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from ipywidgets>=7.5->-r requirements.txt (line 13)) (5.1.4) Requirement already satisfied: ipython>=4.0.0; python_version >= "3.3" in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from ipywidgets>=7.5->-r requirements.txt (line 13)) (7.13.0) Collecting atomicwrites>=1.0 Using cached atomicwrites-1.3.0-py2.py3-none-any.whl (5.9 kB) Collecting more-itertools>=4.0.0; python_version > "2.7" Using cached more_itertools-8.2.0-py3-none-any.whl (43 kB) Requirement already satisfied: setuptools in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from pytest==4.4.1->-r test-requirements.txt (line 1)) (46.0.0) Requirement already satisfied: attrs>=17.4.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from pytest==4.4.1->-r test-requirements.txt (line 1)) (19.3.0) Collecting py>=1.5.0 Using cached py-1.8.1-py2.py3-none-any.whl (83 kB) Collecting pluggy>=0.9 Using cached pluggy-0.13.1-py2.py3-none-any.whl (18 kB) Collecting execnet>=1.1 Using cached execnet-1.7.1-py2.py3-none-any.whl (39 kB) Collecting pytest-forked Using cached pytest_forked-1.1.3-py2.py3-none-any.whl (4.5 kB) Collecting coverage>=4.4 Using cached coverage-5.0.3-cp37-cp37m-manylinux1_x86_64.whl (227 kB) Requirement already satisfied: jupyter-client in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from nbval==0.9.3->-r test-requirements.txt (line 4)) (6.0.0) Requirement already satisfied: requests>=2.7.9 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from codecov==2.0.15->-r test-requirements.txt (line 6)) (2.23.0) Collecting mccabe<0.7.0,>=0.6.0 Using cached mccabe-0.6.1-py2.py3-none-any.whl (8.6 kB) Requirement already satisfied: entrypoints<0.4.0,>=0.3.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from flake8==3.7.0->-r dev-requirements.txt (line 3)) (0.3) Collecting pyflakes<2.2.0,>=2.1.0 Using cached pyflakes-2.1.1-py2.py3-none-any.whl (59 kB) Collecting pycodestyle<2.6.0,>=2.5.0 Using cached pycodestyle-2.5.0-py2.py3-none-any.whl (51 kB) Requirement already satisfied: jinja2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from nbsphinx==0.4.2->-r dev-requirements.txt (line 6)) (2.11.1) Requirement already satisfied: docutils in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from nbsphinx==0.4.2->-r dev-requirements.txt (line 6)) (0.14) Requirement already satisfied: babel!=2.0,>=1.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (2.8.0) Requirement already satisfied: alabaster<0.8,>=0.7 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (0.7.12) Collecting sphinxcontrib-jsmath Using cached sphinxcontrib_jsmath-1.0.1-py2.py3-none-any.whl (5.1 kB) Requirement already satisfied: imagesize in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (1.2.0) Collecting sphinxcontrib-serializinghtml Using cached sphinxcontrib_serializinghtml-1.1.4-py2.py3-none-any.whl (89 kB) Collecting sphinxcontrib-htmlhelp Using cached sphinxcontrib_htmlhelp-1.0.3-py2.py3-none-any.whl (96 kB) Collecting sphinxcontrib-applehelp Using cached sphinxcontrib_applehelp-1.0.2-py2.py3-none-any.whl (121 kB) Requirement already satisfied: snowballstemmer>=1.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (2.0.0) Collecting sphinxcontrib-qthelp Using cached sphinxcontrib_qthelp-1.0.3-py2.py3-none-any.whl (90 kB) Requirement already satisfied: packaging in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (20.3) Collecting sphinxcontrib-devhelp Using cached sphinxcontrib_devhelp-1.0.2-py2.py3-none-any.whl (84 kB) Requirement already satisfied: Pygments>=2.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (2.6.1) Requirement already satisfied: mistune>=0.8.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from nbconvert==5.5.0->-r dev-requirements.txt (line 9)) (0.8.4) Requirement already satisfied: pandocfilters>=1.4.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from nbconvert==5.5.0->-r dev-requirements.txt (line 9)) (1.4.2) Requirement already satisfied: defusedxml in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from nbconvert==5.5.0->-r dev-requirements.txt (line 9)) (0.6.0) Requirement already satisfied: testpath in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from nbconvert==5.5.0->-r dev-requirements.txt (line 9)) (0.4.4) Requirement already satisfied: jupyter-core in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from nbconvert==5.5.0->-r dev-requirements.txt (line 9)) (4.6.3) Requirement already satisfied: bleach in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from nbconvert==5.5.0->-r dev-requirements.txt (line 9)) (3.1.1) Collecting boto3>=1.9.91 Using cached boto3-1.12.21-py2.py3-none-any.whl (128 kB) Collecting botocore>=1.12.91 Using cached botocore-1.15.21-py2.py3-none-any.whl (6.0 MB) Collecting fsspec>=0.6.0 Using cached fsspec-0.6.2-py3-none-any.whl (62 kB) Requirement already satisfied: PyYAML in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from pyaml>=16.9->scikit-optimize[plots]->-r requirements.txt (line 7)) (5.3) Requirement already satisfied: cycler>=0.10 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from matplotlib>=2.0.0; extra == "plots"->scikit-optimize[plots]->-r requirements.txt (line 7)) (0.10.0) Requirement already satisfied: kiwisolver>=1.0.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from matplotlib>=2.0.0; extra == "plots"->scikit-optimize[plots]->-r requirements.txt (line 7)) (1.1.0) Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from matplotlib>=2.0.0; extra == "plots"->scikit-optimize[plots]->-r requirements.txt (line 7)) (2.4.6) Requirement already satisfied: notebook>=4.4.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from widgetsnbextension~=3.5.0->ipywidgets>=7.5->-r requirements.txt (line 13)) (6.0.3) Requirement already satisfied: ipython-genutils in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from traitlets>=4.3.1->ipywidgets>=7.5->-r requirements.txt (line 13)) (0.2.0) Requirement already satisfied: decorator in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from traitlets>=4.3.1->ipywidgets>=7.5->-r requirements.txt (line 13)) (4.4.2) Requirement already satisfied: jsonschema!=2.5.0,>=2.4 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from nbformat>=4.2.0->ipywidgets>=7.5->-r requirements.txt (line 13)) (3.2.0) Requirement already satisfied: tornado>=4.2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from ipykernel>=4.5.1->ipywidgets>=7.5->-r requirements.txt (line 13)) (6.0.4) Requirement already satisfied: pickleshare in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from ipython>=4.0.0; python_version >= "3.3"->ipywidgets>=7.5->-r requirements.txt (line 13)) (0.7.5) Requirement already satisfied: backcall in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from ipython>=4.0.0; python_version >= "3.3"->ipywidgets>=7.5->-r requirements.txt (line 13)) (0.1.0) Requirement already satisfied: jedi>=0.10 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from ipython>=4.0.0; python_version >= "3.3"->ipywidgets>=7.5->-r requirements.txt (line 13)) (0.16.0) Requirement already satisfied: prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from ipython>=4.0.0; python_version >= "3.3"->ipywidgets>=7.5->-r requirements.txt (line 13)) (3.0.4) Requirement already satisfied: pexpect; sys_platform != "win32" in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from ipython>=4.0.0; python_version >= "3.3"->ipywidgets>=7.5->-r requirements.txt (line 13)) (4.8.0) Requirement already satisfied: importlib-metadata>=0.12; python_version < "3.8" in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from pluggy>=0.9->pytest==4.4.1->-r test-requirements.txt (line 1)) (1.5.0) Collecting apipkg>=1.4 Using cached apipkg-1.5-py2.py3-none-any.whl (4.9 kB) Requirement already satisfied: pyzmq>=13 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from jupyter-client->nbval==0.9.3->-r test-requirements.txt (line 4)) (19.0.0) Requirement already satisfied: certifi>=2017.4.17 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from requests>=2.7.9->codecov==2.0.15->-r test-requirements.txt (line 6)) (2019.11.28) Requirement already satisfied: chardet<4,>=3.0.2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from requests>=2.7.9->codecov==2.0.15->-r test-requirements.txt (line 6)) (3.0.4) Requirement already satisfied: idna<3,>=2.5 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from requests>=2.7.9->codecov==2.0.15->-r test-requirements.txt (line 6)) (2.9) Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from requests>=2.7.9->codecov==2.0.15->-r test-requirements.txt (line 6)) (1.25.8) Requirement already satisfied: MarkupSafe>=0.23 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from jinja2->nbsphinx==0.4.2->-r dev-requirements.txt (line 6)) (1.1.1) Requirement already satisfied: webencodings in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from bleach->nbconvert==5.5.0->-r dev-requirements.txt (line 9)) (0.5.1) Collecting s3transfer<0.4.0,>=0.3.0 Using cached s3transfer-0.3.3-py2.py3-none-any.whl (69 kB) Collecting jmespath<1.0.0,>=0.7.1 Using cached jmespath-0.9.5-py2.py3-none-any.whl (24 kB) Requirement already satisfied: Send2Trash in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->-r requirements.txt (line 13)) (1.5.0) Requirement already satisfied: prometheus-client in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->-r requirements.txt (line 13)) (0.7.1) Requirement already satisfied: terminado>=0.8.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->-r requirements.txt (line 13)) (0.8.3) Requirement already satisfied: pyrsistent>=0.14.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from jsonschema!=2.5.0,>=2.4->nbformat>=4.2.0->ipywidgets>=7.5->-r requirements.txt (line 13)) (0.15.7) Requirement already satisfied: parso>=0.5.2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from jedi>=0.10->ipython>=4.0.0; python_version >= "3.3"->ipywidgets>=7.5->-r requirements.txt (line 13)) (0.6.2) Requirement already satisfied: wcwidth in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0->ipython>=4.0.0; python_version >= "3.3"->ipywidgets>=7.5->-r requirements.txt (line 13)) (0.1.8) Requirement already satisfied: ptyprocess>=0.5 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from pexpect; sys_platform != "win32"->ipython>=4.0.0; python_version >= "3.3"->ipywidgets>=7.5->-r requirements.txt (line 13)) (0.6.0) Requirement already satisfied: zipp>=0.5 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from importlib-metadata>=0.12; python_version < "3.8"->pluggy>=0.9->pytest==4.4.1->-r test-requirements.txt (line 1)) (3.1.0) Installing collected packages: atomicwrites, more-itertools, py, pluggy, pytest, apipkg, execnet, pytest-forked, pytest-xdist, coverage, pytest-cov, nbval, codecov, mccabe, pyflakes, pycodestyle, flake8, autopep8, isort, sphinxcontrib-jsmath, sphinxcontrib-serializinghtml, sphinxcontrib-htmlhelp, sphinxcontrib-applehelp, sphinxcontrib-qthelp, sphinxcontrib-devhelp, Sphinx, nbconvert, nbsphinx, jmespath, botocore, s3transfer, boto3, fsspec, s3fs 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 5.6.1 Uninstalling nbconvert-5.6.1: Successfully uninstalled nbconvert-5.6.1 Successfully installed Sphinx-2.0.1 apipkg-1.5 atomicwrites-1.3.0 autopep8-1.4.3 boto3-1.12.21 botocore-1.15.21 codecov-2.0.15 coverage-5.0.3 execnet-1.7.1 flake8-3.7.0 fsspec-0.6.2 isort-4.3.4 jmespath-0.9.5 mccabe-0.6.1 more-itertools-8.2.0 nbconvert-5.5.0 nbsphinx-0.4.2 nbval-0.9.3 pluggy-0.13.1 py-1.8.1 pycodestyle-2.5.0 pyflakes-2.1.1 pytest-4.4.1 pytest-cov-2.6.1 pytest-forked-1.1.3 pytest-xdist-1.26.1 s3fs-0.4.0 s3transfer-0.3.3 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 sphinxcontrib-serializinghtml-1.1.4 [rtd-command-info] start-time: 2020-03-16T15:09:45.226782Z, end-time: 2020-03-16T15:09:45.799962Z, 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 = '2019, Feature Labs, Inc.' author = 'Feature Labs, 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', ] # 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 master 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 = 'sphinx_rtd_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 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', 'Feature Labs, Inc.', '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/Featurelabs/evalml/issues/%s', '#'), 'pr': ('https://github.com/Featurelabs/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 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 build_finished(app, Exception): subprocess.run(['sed', '-i', '-e', 's/require/require_rtd/g', "{}/_static/js/theme.js".format(app.outdir)]) 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) app.connect('build-finished', build_finished) ########################################################################### # 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://media.readthedocs.com/' #Add project information to the template context. context = { 'using_theme': using_rtd_theme, 'html_theme': html_theme, 'current_version': "latest", 'version_slug': "latest", 'MEDIA_URL': "https://media.readthedocs.com/media/", 'STATIC_URL': "https://media.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.featurelabs.com/en/stable/', 'analytics_code': 'None', 'single_version': False, 'conf_py_path': '/docs/source/', 'api_host': 'https://readthedocs.com', 'proxied_api_host': '/_', 'github_user': 'FeatureLabs', 'github_repo': 'evalml', 'github_version': 'master', 'display_github': True, 'bitbucket_user': 'None', 'bitbucket_repo': 'None', 'bitbucket_version': 'master', 'display_bitbucket': False, 'gitlab_user': 'None', 'gitlab_repo': 'None', 'gitlab_version': 'master', 'display_gitlab': False, 'READTHEDOCS': True, 'using_theme': (html_theme == "default"), 'new_theme': (html_theme == "sphinx_rtd_theme"), 'source_suffix': SUFFIX, 'ad_free': False, 'user_analytics_code': '', 'global_analytics_code': 'UA-17997319-2', 'commit': 'a857ecc4', } 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' [rtd-command-info] start-time: 2020-03-16T15:09:45.962561Z, end-time: 2020-03-16T15:21:44.255576Z, duration: 718, exit-code: 0 python sphinx-build -T -E -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 WARNING: [autosummary] failed to import 'evalml.AutoClassificationSearch.plot.normalize_confusion_matrix': no module named evalml.AutoClassificationSearch.plot.normalize_confusion_matrix [autosummary] generating autosummary for: /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.AutoClassificationSearch.plot.generate_confusion_matrix.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.AutoClassificationSearch.plot.generate_roc_plot.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.AutoClassificationSearch.plot.get_confusion_matrix_data.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.AutoClassificationSearch.plot.get_roc_data.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.AutoClassificationSearch.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.AutoRegressionSearch.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.demos.load_breast_cancer.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.demos.load_diabetes.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.demos.load_fraud.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.demos.load_wine.rst, ..., /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.pipelines.components.XGBoostClassifier.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.pipelines.get_pipelines.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.pipelines.load_pipeline.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.pipelines.save_pipeline.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.preprocessing.load_data.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.preprocessing.split_data.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.problem_types.ProblemTypes.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.problem_types.handle_problem_types.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.tuners.SKOptTuner.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.tuners.Tuner.rst [autosummary] generating autosummary for: /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.AutoClassificationSearch.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.AutoRegressionSearch.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.objectives.AUC.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.objectives.AUC.fit.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.objectives.AUC.predict.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.objectives.AUC.score.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.objectives.AUC.supports_problem_type.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.objectives.AUCMacro.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.objectives.AUCMacro.fit.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.objectives.AUCMacro.predict.rst, ..., /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.pipelines.components.XGBoostClassifier.describe.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.pipelines.components.XGBoostClassifier.fit.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.pipelines.components.XGBoostClassifier.predict.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.pipelines.components.XGBoostClassifier.predict_proba.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.SKOptTuner.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.SKOptTuner.add.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.SKOptTuner.propose.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.Tuner.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.Tuner.add.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.Tuner.propose.rst building [mo]: targets for 0 po files that are out of date building [readthedocs]: targets for 16 source files that are out of date updating environment: 353 added, 0 changed, 0 removed reading sources... [ 0%] api_reference reading sources... [ 0%] automl/pipeline_search reading sources... [ 0%] automl/regression_example reading sources... [ 1%] automl/search_results reading sources... [ 1%] changelog reading sources... [ 1%] demos/fraud reading sources... [ 1%] demos/lead_scoring /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages/sklearn/linear_model/_logistic.py:940: ConvergenceWarning: lbfgs failed to converge (status=1): STOP: TOTAL NO. of ITERATIONS REACHED LIMIT. Increase the number of iterations (max_iter) or scale the data as shown in: https://scikit-learn.org/stable/modules/preprocessing.html Please also refer to the documentation for alternative solver options: https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression extra_warning_msg=_LOGISTIC_SOLVER_CONVERGENCE_MSG) /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages/sklearn/linear_model/_logistic.py:940: ConvergenceWarning: lbfgs failed to converge (status=1): STOP: TOTAL NO. of ITERATIONS REACHED LIMIT. Increase the number of iterations (max_iter) or scale the data as shown in: https://scikit-learn.org/stable/modules/preprocessing.html Please also refer to the documentation for alternative solver options: https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression extra_warning_msg=_LOGISTIC_SOLVER_CONVERGENCE_MSG) /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages/sklearn/linear_model/_logistic.py:940: ConvergenceWarning: lbfgs failed to converge (status=1): STOP: TOTAL NO. of ITERATIONS REACHED LIMIT. Increase the number of iterations (max_iter) or scale the data as shown in: https://scikit-learn.org/stable/modules/preprocessing.html Please also refer to the documentation for alternative solver options: https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression extra_warning_msg=_LOGISTIC_SOLVER_CONVERGENCE_MSG) /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages/sklearn/linear_model/_logistic.py:940: ConvergenceWarning: lbfgs failed to converge (status=1): STOP: TOTAL NO. of ITERATIONS REACHED LIMIT. Increase the number of iterations (max_iter) or scale the data as shown in: https://scikit-learn.org/stable/modules/preprocessing.html Please also refer to the documentation for alternative solver options: https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression extra_warning_msg=_LOGISTIC_SOLVER_CONVERGENCE_MSG) /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages/sklearn/linear_model/_logistic.py:940: ConvergenceWarning: lbfgs failed to converge (status=1): STOP: TOTAL NO. of ITERATIONS REACHED LIMIT. Increase the number of iterations (max_iter) or scale the data as shown in: https://scikit-learn.org/stable/modules/preprocessing.html Please also refer to the documentation for alternative solver options: https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression extra_warning_msg=_LOGISTIC_SOLVER_CONVERGENCE_MSG) /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages/sklearn/linear_model/_logistic.py:940: ConvergenceWarning: lbfgs failed to converge (status=1): STOP: TOTAL NO. of ITERATIONS REACHED LIMIT. Increase the number of iterations (max_iter) or scale the data as shown in: https://scikit-learn.org/stable/modules/preprocessing.html Please also refer to the documentation for alternative solver options: https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression extra_warning_msg=_LOGISTIC_SOLVER_CONVERGENCE_MSG) /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages/sklearn/linear_model/_logistic.py:940: ConvergenceWarning: lbfgs failed to converge (status=1): STOP: TOTAL NO. of ITERATIONS REACHED LIMIT. Increase the number of iterations (max_iter) or scale the data as shown in: https://scikit-learn.org/stable/modules/preprocessing.html Please also refer to the documentation for alternative solver options: https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression extra_warning_msg=_LOGISTIC_SOLVER_CONVERGENCE_MSG) /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages/sklearn/linear_model/_logistic.py:940: ConvergenceWarning: lbfgs failed to converge (status=1): STOP: TOTAL NO. of ITERATIONS REACHED LIMIT. Increase the number of iterations (max_iter) or scale the data as shown in: https://scikit-learn.org/stable/modules/preprocessing.html Please also refer to the documentation for alternative solver options: https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression extra_warning_msg=_LOGISTIC_SOLVER_CONVERGENCE_MSG) /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages/sklearn/linear_model/_logistic.py:940: ConvergenceWarning: lbfgs failed to converge (status=1): STOP: TOTAL NO. of ITERATIONS REACHED LIMIT. Increase the number of iterations (max_iter) or scale the data as shown in: https://scikit-learn.org/stable/modules/preprocessing.html Please also refer to the documentation for alternative solver options: https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression extra_warning_msg=_LOGISTIC_SOLVER_CONVERGENCE_MSG) /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages/sklearn/linear_model/_logistic.py:940: ConvergenceWarning: lbfgs failed to converge (status=1): STOP: TOTAL NO. of ITERATIONS REACHED LIMIT. Increase the number of iterations (max_iter) or scale the data as shown in: https://scikit-learn.org/stable/modules/preprocessing.html Please also refer to the documentation for alternative solver options: https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression extra_warning_msg=_LOGISTIC_SOLVER_CONVERGENCE_MSG) /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages/sklearn/linear_model/_logistic.py:940: ConvergenceWarning: lbfgs failed to converge (status=1): STOP: TOTAL NO. of ITERATIONS REACHED LIMIT. Increase the number of iterations (max_iter) or scale the data as shown in: https://scikit-learn.org/stable/modules/preprocessing.html Please also refer to the documentation for alternative solver options: https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression extra_warning_msg=_LOGISTIC_SOLVER_CONVERGENCE_MSG) /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages/sklearn/linear_model/_logistic.py:940: ConvergenceWarning: lbfgs failed to converge (status=1): STOP: TOTAL NO. of ITERATIONS REACHED LIMIT. Increase the number of iterations (max_iter) or scale the data as shown in: https://scikit-learn.org/stable/modules/preprocessing.html Please also refer to the documentation for alternative solver options: https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression extra_warning_msg=_LOGISTIC_SOLVER_CONVERGENCE_MSG) /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages/sklearn/linear_model/_logistic.py:940: ConvergenceWarning: lbfgs failed to converge (status=1): STOP: TOTAL NO. of ITERATIONS REACHED LIMIT. Increase the number of iterations (max_iter) or scale the data as shown in: https://scikit-learn.org/stable/modules/preprocessing.html Please also refer to the documentation for alternative solver options: https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression extra_warning_msg=_LOGISTIC_SOLVER_CONVERGENCE_MSG) reading sources... [ 2%] faq reading sources... [ 2%] generated/evalml.AutoClassificationSearch reading sources... [ 2%] generated/evalml.AutoClassificationSearch.plot.generate_confusion_matrix reading sources... [ 3%] generated/evalml.AutoClassificationSearch.plot.generate_roc_plot reading sources... [ 3%] generated/evalml.AutoClassificationSearch.plot.get_confusion_matrix_data reading sources... [ 3%] generated/evalml.AutoClassificationSearch.plot.get_roc_data reading sources... [ 3%] generated/evalml.AutoRegressionSearch reading sources... [ 4%] generated/evalml.demos.load_breast_cancer reading sources... [ 4%] generated/evalml.demos.load_diabetes reading sources... [ 4%] generated/evalml.demos.load_fraud reading sources... [ 5%] generated/evalml.demos.load_wine reading sources... [ 5%] generated/evalml.guardrails.detect_highly_null reading sources... [ 5%] generated/evalml.guardrails.detect_id_columns reading sources... [ 5%] generated/evalml.guardrails.detect_label_leakage reading sources... [ 6%] generated/evalml.guardrails.detect_outliers reading sources... [ 6%] generated/evalml.list_model_types reading sources... [ 6%] generated/evalml.objectives.AUC reading sources... [ 7%] generated/evalml.objectives.AUCMacro reading sources... [ 7%] generated/evalml.objectives.AUCMicro reading sources... [ 7%] generated/evalml.objectives.AUCWeighted reading sources... [ 7%] generated/evalml.objectives.ConfusionMatrix reading sources... [ 8%] generated/evalml.objectives.ExpVariance reading sources... [ 8%] generated/evalml.objectives.F1 reading sources... [ 8%] generated/evalml.objectives.F1Macro reading sources... [ 9%] generated/evalml.objectives.F1Micro reading sources... [ 9%] generated/evalml.objectives.F1Weighted reading sources... [ 9%] generated/evalml.objectives.FraudCost reading sources... [ 9%] generated/evalml.objectives.LeadScoring reading sources... [ 10%] generated/evalml.objectives.LogLoss reading sources... [ 10%] generated/evalml.objectives.MAE reading sources... [ 10%] generated/evalml.objectives.MCC reading sources... [ 11%] generated/evalml.objectives.MSE reading sources... [ 11%] generated/evalml.objectives.MSLE reading sources... [ 11%] generated/evalml.objectives.MaxError reading sources... [ 11%] generated/evalml.objectives.MedianAE reading sources... [ 12%] generated/evalml.objectives.Precision reading sources... [ 12%] generated/evalml.objectives.PrecisionMacro reading sources... [ 12%] generated/evalml.objectives.PrecisionMicro reading sources... [ 13%] generated/evalml.objectives.PrecisionWeighted reading sources... [ 13%] generated/evalml.objectives.R2 reading sources... [ 13%] generated/evalml.objectives.ROC reading sources... [ 13%] generated/evalml.objectives.Recall reading sources... [ 14%] generated/evalml.objectives.RecallMacro reading sources... [ 14%] generated/evalml.objectives.RecallMicro reading sources... [ 14%] generated/evalml.objectives.RecallWeighted reading sources... [ 15%] generated/evalml.pipelines.LinearRegressionPipeline reading sources... [ 15%] generated/evalml.pipelines.LogisticRegressionPipeline reading sources... [ 15%] generated/evalml.pipelines.PipelineBase reading sources... [ 15%] generated/evalml.pipelines.PipelineBase.feature_importance_graph reading sources... [ 16%] generated/evalml.pipelines.PipelineBase.graph reading sources... [ 16%] generated/evalml.pipelines.RFClassificationPipeline reading sources... [ 16%] generated/evalml.pipelines.RFRegressionPipeline reading sources... [ 16%] generated/evalml.pipelines.XGBoostPipeline reading sources... [ 17%] generated/evalml.pipelines.components.LinearRegressor reading sources... [ 17%] generated/evalml.pipelines.components.LogisticRegressionClassifier reading sources... [ 17%] generated/evalml.pipelines.components.OneHotEncoder reading sources... [ 18%] generated/evalml.pipelines.components.RFClassifierSelectFromModel reading sources... [ 18%] generated/evalml.pipelines.components.RFRegressorSelectFromModel reading sources... [ 18%] generated/evalml.pipelines.components.RandomForestClassifier reading sources... [ 18%] generated/evalml.pipelines.components.RandomForestRegressor reading sources... [ 19%] generated/evalml.pipelines.components.SimpleImputer reading sources... [ 19%] generated/evalml.pipelines.components.StandardScaler reading sources... [ 19%] generated/evalml.pipelines.components.XGBoostClassifier reading sources... [ 20%] generated/evalml.pipelines.get_pipelines reading sources... [ 20%] generated/evalml.pipelines.load_pipeline reading sources... [ 20%] generated/evalml.pipelines.save_pipeline reading sources... [ 20%] generated/evalml.preprocessing.load_data reading sources... [ 21%] generated/evalml.preprocessing.split_data reading sources... [ 21%] generated/evalml.problem_types.ProblemTypes reading sources... [ 21%] generated/evalml.problem_types.handle_problem_types reading sources... [ 22%] generated/evalml.tuners.SKOptTuner reading sources... [ 22%] generated/evalml.tuners.Tuner reading sources... [ 22%] generated/methods/evalml.AutoClassificationSearch.__init__ reading sources... [ 22%] generated/methods/evalml.AutoRegressionSearch.__init__ reading sources... [ 23%] generated/methods/evalml.objectives.AUC.__init__ reading sources... [ 23%] generated/methods/evalml.objectives.AUC.fit reading sources... [ 23%] generated/methods/evalml.objectives.AUC.predict reading sources... [ 24%] generated/methods/evalml.objectives.AUC.score reading sources... [ 24%] generated/methods/evalml.objectives.AUC.supports_problem_type reading sources... [ 24%] generated/methods/evalml.objectives.AUCMacro.__init__ reading sources... [ 24%] generated/methods/evalml.objectives.AUCMacro.fit reading sources... [ 25%] generated/methods/evalml.objectives.AUCMacro.predict reading sources... [ 25%] generated/methods/evalml.objectives.AUCMacro.score reading sources... [ 25%] generated/methods/evalml.objectives.AUCMacro.supports_problem_type reading sources... [ 26%] generated/methods/evalml.objectives.AUCMicro.__init__ reading sources... [ 26%] generated/methods/evalml.objectives.AUCMicro.fit reading sources... [ 26%] generated/methods/evalml.objectives.AUCMicro.predict reading sources... [ 26%] generated/methods/evalml.objectives.AUCMicro.score reading sources... [ 27%] generated/methods/evalml.objectives.AUCMicro.supports_problem_type reading sources... [ 27%] generated/methods/evalml.objectives.AUCWeighted.__init__ reading sources... [ 27%] generated/methods/evalml.objectives.AUCWeighted.fit reading sources... [ 28%] generated/methods/evalml.objectives.AUCWeighted.predict reading sources... [ 28%] generated/methods/evalml.objectives.AUCWeighted.score reading sources... [ 28%] generated/methods/evalml.objectives.AUCWeighted.supports_problem_type reading sources... [ 28%] generated/methods/evalml.objectives.ConfusionMatrix.__init__ reading sources... [ 29%] generated/methods/evalml.objectives.ConfusionMatrix.fit reading sources... [ 29%] generated/methods/evalml.objectives.ConfusionMatrix.predict reading sources... [ 29%] generated/methods/evalml.objectives.ConfusionMatrix.score reading sources... [ 30%] generated/methods/evalml.objectives.ConfusionMatrix.supports_problem_type reading sources... [ 30%] generated/methods/evalml.objectives.ExpVariance.__init__ reading sources... [ 30%] generated/methods/evalml.objectives.ExpVariance.fit reading sources... [ 30%] generated/methods/evalml.objectives.ExpVariance.predict reading sources... [ 31%] generated/methods/evalml.objectives.ExpVariance.score reading sources... [ 31%] generated/methods/evalml.objectives.ExpVariance.supports_problem_type reading sources... [ 31%] generated/methods/evalml.objectives.F1.__init__ reading sources... [ 32%] generated/methods/evalml.objectives.F1.fit reading sources... [ 32%] generated/methods/evalml.objectives.F1.predict reading sources... [ 32%] generated/methods/evalml.objectives.F1.score reading sources... [ 32%] generated/methods/evalml.objectives.F1.supports_problem_type reading sources... [ 33%] generated/methods/evalml.objectives.F1Macro.__init__ reading sources... [ 33%] generated/methods/evalml.objectives.F1Macro.fit reading sources... [ 33%] generated/methods/evalml.objectives.F1Macro.predict reading sources... [ 33%] generated/methods/evalml.objectives.F1Macro.score reading sources... [ 34%] generated/methods/evalml.objectives.F1Macro.supports_problem_type reading sources... [ 34%] generated/methods/evalml.objectives.F1Micro.__init__ reading sources... [ 34%] generated/methods/evalml.objectives.F1Micro.fit reading sources... [ 35%] generated/methods/evalml.objectives.F1Micro.predict reading sources... [ 35%] generated/methods/evalml.objectives.F1Micro.score reading sources... [ 35%] generated/methods/evalml.objectives.F1Micro.supports_problem_type reading sources... [ 35%] generated/methods/evalml.objectives.F1Weighted.__init__ reading sources... [ 36%] generated/methods/evalml.objectives.F1Weighted.fit reading sources... [ 36%] generated/methods/evalml.objectives.F1Weighted.predict reading sources... [ 36%] generated/methods/evalml.objectives.F1Weighted.score reading sources... [ 37%] generated/methods/evalml.objectives.F1Weighted.supports_problem_type reading sources... [ 37%] generated/methods/evalml.objectives.FraudCost.__init__ reading sources... [ 37%] generated/methods/evalml.objectives.FraudCost.decision_function reading sources... [ 37%] generated/methods/evalml.objectives.FraudCost.fit reading sources... [ 38%] generated/methods/evalml.objectives.FraudCost.objective_function reading sources... [ 38%] generated/methods/evalml.objectives.FraudCost.predict reading sources... [ 38%] generated/methods/evalml.objectives.FraudCost.score reading sources... [ 39%] generated/methods/evalml.objectives.FraudCost.supports_problem_type reading sources... [ 39%] generated/methods/evalml.objectives.LeadScoring.__init__ reading sources... [ 39%] generated/methods/evalml.objectives.LeadScoring.decision_function reading sources... [ 39%] generated/methods/evalml.objectives.LeadScoring.fit reading sources... [ 40%] generated/methods/evalml.objectives.LeadScoring.objective_function reading sources... [ 40%] generated/methods/evalml.objectives.LeadScoring.predict reading sources... [ 40%] generated/methods/evalml.objectives.LeadScoring.score reading sources... [ 41%] generated/methods/evalml.objectives.LeadScoring.supports_problem_type reading sources... [ 41%] generated/methods/evalml.objectives.LogLoss.__init__ reading sources... [ 41%] generated/methods/evalml.objectives.LogLoss.fit reading sources... [ 41%] generated/methods/evalml.objectives.LogLoss.predict reading sources... [ 42%] generated/methods/evalml.objectives.LogLoss.score reading sources... [ 42%] generated/methods/evalml.objectives.LogLoss.supports_problem_type reading sources... [ 42%] generated/methods/evalml.objectives.MAE.__init__ reading sources... [ 43%] generated/methods/evalml.objectives.MAE.fit reading sources... [ 43%] generated/methods/evalml.objectives.MAE.predict reading sources... [ 43%] generated/methods/evalml.objectives.MAE.score reading sources... [ 43%] generated/methods/evalml.objectives.MAE.supports_problem_type reading sources... [ 44%] generated/methods/evalml.objectives.MCC.__init__ reading sources... [ 44%] generated/methods/evalml.objectives.MCC.fit reading sources... [ 44%] generated/methods/evalml.objectives.MCC.predict reading sources... [ 45%] generated/methods/evalml.objectives.MCC.score reading sources... [ 45%] generated/methods/evalml.objectives.MCC.supports_problem_type reading sources... [ 45%] generated/methods/evalml.objectives.MSE.__init__ reading sources... [ 45%] generated/methods/evalml.objectives.MSE.fit reading sources... [ 46%] generated/methods/evalml.objectives.MSE.predict reading sources... [ 46%] generated/methods/evalml.objectives.MSE.score reading sources... [ 46%] generated/methods/evalml.objectives.MSE.supports_problem_type reading sources... [ 47%] generated/methods/evalml.objectives.MSLE.__init__ reading sources... [ 47%] generated/methods/evalml.objectives.MSLE.fit reading sources... [ 47%] generated/methods/evalml.objectives.MSLE.predict reading sources... [ 47%] generated/methods/evalml.objectives.MSLE.score reading sources... [ 48%] generated/methods/evalml.objectives.MSLE.supports_problem_type reading sources... [ 48%] generated/methods/evalml.objectives.MaxError.__init__ reading sources... [ 48%] generated/methods/evalml.objectives.MaxError.fit reading sources... [ 49%] generated/methods/evalml.objectives.MaxError.predict reading sources... [ 49%] generated/methods/evalml.objectives.MaxError.score reading sources... [ 49%] generated/methods/evalml.objectives.MaxError.supports_problem_type reading sources... [ 49%] generated/methods/evalml.objectives.MedianAE.__init__ reading sources... [ 50%] generated/methods/evalml.objectives.MedianAE.fit reading sources... [ 50%] generated/methods/evalml.objectives.MedianAE.predict reading sources... [ 50%] generated/methods/evalml.objectives.MedianAE.score reading sources... [ 50%] generated/methods/evalml.objectives.MedianAE.supports_problem_type reading sources... [ 51%] generated/methods/evalml.objectives.Precision.__init__ reading sources... [ 51%] generated/methods/evalml.objectives.Precision.fit reading sources... [ 51%] generated/methods/evalml.objectives.Precision.predict reading sources... [ 52%] generated/methods/evalml.objectives.Precision.score reading sources... [ 52%] generated/methods/evalml.objectives.Precision.supports_problem_type reading sources... [ 52%] generated/methods/evalml.objectives.PrecisionMacro.__init__ reading sources... [ 52%] generated/methods/evalml.objectives.PrecisionMacro.fit reading sources... [ 53%] generated/methods/evalml.objectives.PrecisionMacro.predict reading sources... [ 53%] generated/methods/evalml.objectives.PrecisionMacro.score reading sources... [ 53%] generated/methods/evalml.objectives.PrecisionMacro.supports_problem_type reading sources... [ 54%] generated/methods/evalml.objectives.PrecisionMicro.__init__ reading sources... [ 54%] generated/methods/evalml.objectives.PrecisionMicro.fit reading sources... [ 54%] generated/methods/evalml.objectives.PrecisionMicro.predict reading sources... [ 54%] generated/methods/evalml.objectives.PrecisionMicro.score reading sources... [ 55%] generated/methods/evalml.objectives.PrecisionMicro.supports_problem_type reading sources... [ 55%] generated/methods/evalml.objectives.PrecisionWeighted.__init__ reading sources... [ 55%] generated/methods/evalml.objectives.PrecisionWeighted.fit reading sources... [ 56%] generated/methods/evalml.objectives.PrecisionWeighted.predict reading sources... [ 56%] generated/methods/evalml.objectives.PrecisionWeighted.score reading sources... [ 56%] generated/methods/evalml.objectives.PrecisionWeighted.supports_problem_type reading sources... [ 56%] generated/methods/evalml.objectives.R2.__init__ reading sources... [ 57%] generated/methods/evalml.objectives.R2.fit reading sources... [ 57%] generated/methods/evalml.objectives.R2.predict reading sources... [ 57%] generated/methods/evalml.objectives.R2.score reading sources... [ 58%] generated/methods/evalml.objectives.R2.supports_problem_type reading sources... [ 58%] generated/methods/evalml.objectives.ROC.__init__ reading sources... [ 58%] generated/methods/evalml.objectives.ROC.fit reading sources... [ 58%] generated/methods/evalml.objectives.ROC.predict reading sources... [ 59%] generated/methods/evalml.objectives.ROC.score reading sources... [ 59%] generated/methods/evalml.objectives.ROC.supports_problem_type reading sources... [ 59%] generated/methods/evalml.objectives.Recall.__init__ reading sources... [ 60%] generated/methods/evalml.objectives.Recall.fit reading sources... [ 60%] generated/methods/evalml.objectives.Recall.predict reading sources... [ 60%] generated/methods/evalml.objectives.Recall.score reading sources... [ 60%] generated/methods/evalml.objectives.Recall.supports_problem_type reading sources... [ 61%] generated/methods/evalml.objectives.RecallMacro.__init__ reading sources... [ 61%] generated/methods/evalml.objectives.RecallMacro.fit reading sources... [ 61%] generated/methods/evalml.objectives.RecallMacro.predict reading sources... [ 62%] generated/methods/evalml.objectives.RecallMacro.score reading sources... [ 62%] generated/methods/evalml.objectives.RecallMacro.supports_problem_type reading sources... [ 62%] generated/methods/evalml.objectives.RecallMicro.__init__ reading sources... [ 62%] generated/methods/evalml.objectives.RecallMicro.fit reading sources... [ 63%] generated/methods/evalml.objectives.RecallMicro.predict reading sources... [ 63%] generated/methods/evalml.objectives.RecallMicro.score reading sources... [ 63%] generated/methods/evalml.objectives.RecallMicro.supports_problem_type reading sources... [ 64%] generated/methods/evalml.objectives.RecallWeighted.__init__ reading sources... [ 64%] generated/methods/evalml.objectives.RecallWeighted.fit reading sources... [ 64%] generated/methods/evalml.objectives.RecallWeighted.predict reading sources... [ 64%] generated/methods/evalml.objectives.RecallWeighted.score reading sources... [ 65%] generated/methods/evalml.objectives.RecallWeighted.supports_problem_type reading sources... [ 65%] generated/methods/evalml.pipelines.LinearRegressionPipeline.__init__ reading sources... [ 65%] generated/methods/evalml.pipelines.LinearRegressionPipeline.describe reading sources... [ 66%] generated/methods/evalml.pipelines.LinearRegressionPipeline.feature_importance_graph reading sources... [ 66%] generated/methods/evalml.pipelines.LinearRegressionPipeline.fit reading sources... [ 66%] generated/methods/evalml.pipelines.LinearRegressionPipeline.get_component reading sources... [ 66%] generated/methods/evalml.pipelines.LinearRegressionPipeline.graph reading sources... [ 67%] generated/methods/evalml.pipelines.LinearRegressionPipeline.predict reading sources... [ 67%] generated/methods/evalml.pipelines.LinearRegressionPipeline.predict_proba reading sources... [ 67%] generated/methods/evalml.pipelines.LinearRegressionPipeline.score reading sources... [ 67%] generated/methods/evalml.pipelines.LogisticRegressionPipeline.__init__ reading sources... [ 68%] generated/methods/evalml.pipelines.LogisticRegressionPipeline.describe reading sources... [ 68%] generated/methods/evalml.pipelines.LogisticRegressionPipeline.feature_importance_graph reading sources... [ 68%] generated/methods/evalml.pipelines.LogisticRegressionPipeline.fit reading sources... [ 69%] generated/methods/evalml.pipelines.LogisticRegressionPipeline.get_component reading sources... [ 69%] generated/methods/evalml.pipelines.LogisticRegressionPipeline.graph reading sources... [ 69%] generated/methods/evalml.pipelines.LogisticRegressionPipeline.predict reading sources... [ 69%] generated/methods/evalml.pipelines.LogisticRegressionPipeline.predict_proba reading sources... [ 70%] generated/methods/evalml.pipelines.LogisticRegressionPipeline.score reading sources... [ 70%] generated/methods/evalml.pipelines.PipelineBase.__init__ reading sources... [ 70%] generated/methods/evalml.pipelines.PipelineBase.describe reading sources... [ 71%] generated/methods/evalml.pipelines.PipelineBase.feature_importance_graph reading sources... [ 71%] generated/methods/evalml.pipelines.PipelineBase.fit reading sources... [ 71%] generated/methods/evalml.pipelines.PipelineBase.get_component reading sources... [ 71%] generated/methods/evalml.pipelines.PipelineBase.graph reading sources... [ 72%] generated/methods/evalml.pipelines.PipelineBase.predict reading sources... [ 72%] generated/methods/evalml.pipelines.PipelineBase.predict_proba reading sources... [ 72%] generated/methods/evalml.pipelines.PipelineBase.score reading sources... [ 73%] generated/methods/evalml.pipelines.RFClassificationPipeline.__init__ reading sources... [ 73%] generated/methods/evalml.pipelines.RFClassificationPipeline.describe reading sources... [ 73%] generated/methods/evalml.pipelines.RFClassificationPipeline.feature_importance_graph reading sources... [ 73%] generated/methods/evalml.pipelines.RFClassificationPipeline.fit reading sources... [ 74%] generated/methods/evalml.pipelines.RFClassificationPipeline.get_component reading sources... [ 74%] generated/methods/evalml.pipelines.RFClassificationPipeline.graph reading sources... [ 74%] generated/methods/evalml.pipelines.RFClassificationPipeline.predict reading sources... [ 75%] generated/methods/evalml.pipelines.RFClassificationPipeline.predict_proba reading sources... [ 75%] generated/methods/evalml.pipelines.RFClassificationPipeline.score reading sources... [ 75%] generated/methods/evalml.pipelines.RFRegressionPipeline.__init__ reading sources... [ 75%] generated/methods/evalml.pipelines.RFRegressionPipeline.describe reading sources... [ 76%] generated/methods/evalml.pipelines.RFRegressionPipeline.feature_importance_graph reading sources... [ 76%] generated/methods/evalml.pipelines.RFRegressionPipeline.fit reading sources... [ 76%] generated/methods/evalml.pipelines.RFRegressionPipeline.get_component reading sources... [ 77%] generated/methods/evalml.pipelines.RFRegressionPipeline.graph reading sources... [ 77%] generated/methods/evalml.pipelines.RFRegressionPipeline.predict reading sources... [ 77%] generated/methods/evalml.pipelines.RFRegressionPipeline.predict_proba reading sources... [ 77%] generated/methods/evalml.pipelines.RFRegressionPipeline.score reading sources... [ 78%] generated/methods/evalml.pipelines.XGBoostPipeline.__init__ reading sources... [ 78%] generated/methods/evalml.pipelines.XGBoostPipeline.describe reading sources... [ 78%] generated/methods/evalml.pipelines.XGBoostPipeline.feature_importance_graph reading sources... [ 79%] generated/methods/evalml.pipelines.XGBoostPipeline.fit reading sources... [ 79%] generated/methods/evalml.pipelines.XGBoostPipeline.get_component reading sources... [ 79%] generated/methods/evalml.pipelines.XGBoostPipeline.graph reading sources... [ 79%] generated/methods/evalml.pipelines.XGBoostPipeline.predict reading sources... [ 80%] generated/methods/evalml.pipelines.XGBoostPipeline.predict_proba reading sources... [ 80%] generated/methods/evalml.pipelines.XGBoostPipeline.score reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.__init__ reading sources... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.describe reading sources... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.fit reading sources... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.predict reading sources... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.predict_proba reading sources... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.__init__ reading sources... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.describe reading sources... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.fit reading sources... [ 83%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict reading sources... [ 83%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict_proba reading sources... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.__init__ reading sources... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.describe reading sources... [ 84%] generated/methods/evalml.pipelines.components.OneHotEncoder.fit reading sources... [ 84%] generated/methods/evalml.pipelines.components.OneHotEncoder.fit_transform reading sources... [ 84%] generated/methods/evalml.pipelines.components.OneHotEncoder.get_feature_names reading sources... [ 84%] generated/methods/evalml.pipelines.components.OneHotEncoder.transform reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.__init__ reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.describe reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit_transform reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.get_indices reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.get_names reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.transform reading sources... [ 87%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.__init__ reading sources... [ 87%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.describe reading sources... [ 87%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit reading sources... [ 88%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit_transform reading sources... [ 88%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.get_indices reading sources... [ 88%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.get_names reading sources... [ 88%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.transform reading sources... [ 89%] generated/methods/evalml.pipelines.components.RandomForestClassifier.__init__ reading sources... [ 89%] generated/methods/evalml.pipelines.components.RandomForestClassifier.describe reading sources... [ 89%] generated/methods/evalml.pipelines.components.RandomForestClassifier.fit reading sources... [ 90%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict reading sources... [ 90%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict_proba reading sources... [ 90%] generated/methods/evalml.pipelines.components.RandomForestRegressor.__init__ reading sources... [ 90%] generated/methods/evalml.pipelines.components.RandomForestRegressor.describe reading sources... [ 91%] generated/methods/evalml.pipelines.components.RandomForestRegressor.fit reading sources... [ 91%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict reading sources... [ 91%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict_proba reading sources... [ 92%] generated/methods/evalml.pipelines.components.SimpleImputer.__init__ reading sources... [ 92%] generated/methods/evalml.pipelines.components.SimpleImputer.describe reading sources... [ 92%] generated/methods/evalml.pipelines.components.SimpleImputer.fit reading sources... [ 92%] generated/methods/evalml.pipelines.components.SimpleImputer.fit_transform reading sources... [ 93%] generated/methods/evalml.pipelines.components.SimpleImputer.transform reading sources... [ 93%] generated/methods/evalml.pipelines.components.StandardScaler.__init__ reading sources... [ 93%] generated/methods/evalml.pipelines.components.StandardScaler.describe reading sources... [ 94%] generated/methods/evalml.pipelines.components.StandardScaler.fit reading sources... [ 94%] generated/methods/evalml.pipelines.components.StandardScaler.fit_transform reading sources... [ 94%] generated/methods/evalml.pipelines.components.StandardScaler.transform reading sources... [ 94%] generated/methods/evalml.pipelines.components.XGBoostClassifier.__init__ reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.describe reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.fit reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.predict reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostClassifier.predict_proba reading sources... [ 96%] generated/methods/evalml.tuners.SKOptTuner.__init__ reading sources... [ 96%] generated/methods/evalml.tuners.SKOptTuner.add reading sources... [ 96%] generated/methods/evalml.tuners.SKOptTuner.propose reading sources... [ 97%] generated/methods/evalml.tuners.Tuner.__init__ reading sources... [ 97%] generated/methods/evalml.tuners.Tuner.add reading sources... [ 97%] generated/methods/evalml.tuners.Tuner.propose reading sources... [ 98%] guardrails/overfitting reading sources... [ 98%] guardrails/overview reading sources... [ 98%] index reading sources... [ 98%] objectives/custom_objectives reading sources... [ 99%] objectives/overview reading sources... [ 99%] pipelines/components reading sources... [ 99%] pipelines/custom_pipelines reading sources... [100%] pipelines/overview WARNING: failed to import AutoClassificationSearch.plot.normalize_confusion_matrix WARNING: toctree references unknown document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/changelog.rst:52: WARNING: Definition list ends without a blank line; unexpected unindent. /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages/evalml/pipelines/pipeline_base.py:docstring of evalml.pipelines.PipelineBase.feature_importance_graph:1: WARNING: duplicate object description of evalml.pipelines.PipelineBase.feature_importance_graph, other instance in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.pipelines.PipelineBase.feature_importance_graph.rst, use :noindex: for one of them /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages/evalml/pipelines/pipeline_base.py:docstring of evalml.pipelines.PipelineBase.graph:1: WARNING: duplicate object description of evalml.pipelines.PipelineBase.graph, other instance in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.pipelines.PipelineBase.graph.rst, use :noindex: for one of them looking for now-outdated files... none found pickling environment... done checking consistency... done preparing documents... done writing output... [ 0%] api_reference writing output... [ 0%] automl/pipeline_search writing output... [ 0%] automl/regression_example writing output... [ 1%] automl/search_results writing output... [ 1%] changelog writing output... [ 1%] demos/fraud writing output... [ 1%] demos/lead_scoring writing output... [ 2%] faq writing output... [ 2%] generated/evalml.AutoClassificationSearch writing output... [ 2%] generated/evalml.AutoClassificationSearch.plot.generate_confusion_matrix writing output... [ 3%] generated/evalml.AutoClassificationSearch.plot.generate_roc_plot writing output... [ 3%] generated/evalml.AutoClassificationSearch.plot.get_confusion_matrix_data writing output... [ 3%] generated/evalml.AutoClassificationSearch.plot.get_roc_data writing output... [ 3%] generated/evalml.AutoRegressionSearch writing output... [ 4%] generated/evalml.demos.load_breast_cancer writing output... [ 4%] generated/evalml.demos.load_diabetes writing output... [ 4%] generated/evalml.demos.load_fraud writing output... [ 5%] generated/evalml.demos.load_wine writing output... [ 5%] generated/evalml.guardrails.detect_highly_null writing output... [ 5%] generated/evalml.guardrails.detect_id_columns writing output... [ 5%] generated/evalml.guardrails.detect_label_leakage writing output... [ 6%] generated/evalml.guardrails.detect_outliers writing output... [ 6%] generated/evalml.list_model_types writing output... [ 6%] generated/evalml.objectives.AUC writing output... [ 7%] generated/evalml.objectives.AUCMacro writing output... [ 7%] generated/evalml.objectives.AUCMicro writing output... [ 7%] generated/evalml.objectives.AUCWeighted writing output... [ 7%] generated/evalml.objectives.ConfusionMatrix writing output... [ 8%] generated/evalml.objectives.ExpVariance writing output... [ 8%] generated/evalml.objectives.F1 writing output... [ 8%] generated/evalml.objectives.F1Macro writing output... [ 9%] generated/evalml.objectives.F1Micro writing output... [ 9%] generated/evalml.objectives.F1Weighted writing output... [ 9%] generated/evalml.objectives.FraudCost writing output... [ 9%] generated/evalml.objectives.LeadScoring writing output... [ 10%] generated/evalml.objectives.LogLoss writing output... [ 10%] generated/evalml.objectives.MAE writing output... [ 10%] generated/evalml.objectives.MCC writing output... [ 11%] generated/evalml.objectives.MSE writing output... [ 11%] generated/evalml.objectives.MSLE writing output... [ 11%] generated/evalml.objectives.MaxError writing output... [ 11%] generated/evalml.objectives.MedianAE writing output... [ 12%] generated/evalml.objectives.Precision writing output... [ 12%] generated/evalml.objectives.PrecisionMacro writing output... [ 12%] generated/evalml.objectives.PrecisionMicro writing output... [ 13%] generated/evalml.objectives.PrecisionWeighted writing output... [ 13%] generated/evalml.objectives.R2 writing output... [ 13%] generated/evalml.objectives.ROC writing output... [ 13%] generated/evalml.objectives.Recall writing output... [ 14%] generated/evalml.objectives.RecallMacro writing output... [ 14%] generated/evalml.objectives.RecallMicro writing output... [ 14%] generated/evalml.objectives.RecallWeighted writing output... [ 15%] generated/evalml.pipelines.LinearRegressionPipeline writing output... [ 15%] generated/evalml.pipelines.LogisticRegressionPipeline writing output... [ 15%] generated/evalml.pipelines.PipelineBase writing output... [ 15%] generated/evalml.pipelines.PipelineBase.feature_importance_graph writing output... [ 16%] generated/evalml.pipelines.PipelineBase.graph writing output... [ 16%] generated/evalml.pipelines.RFClassificationPipeline writing output... [ 16%] generated/evalml.pipelines.RFRegressionPipeline writing output... [ 16%] generated/evalml.pipelines.XGBoostPipeline writing output... [ 17%] generated/evalml.pipelines.components.LinearRegressor writing output... [ 17%] generated/evalml.pipelines.components.LogisticRegressionClassifier writing output... [ 17%] generated/evalml.pipelines.components.OneHotEncoder writing output... [ 18%] generated/evalml.pipelines.components.RFClassifierSelectFromModel writing output... [ 18%] generated/evalml.pipelines.components.RFRegressorSelectFromModel writing output... [ 18%] generated/evalml.pipelines.components.RandomForestClassifier writing output... [ 18%] generated/evalml.pipelines.components.RandomForestRegressor writing output... [ 19%] generated/evalml.pipelines.components.SimpleImputer writing output... [ 19%] generated/evalml.pipelines.components.StandardScaler writing output... [ 19%] generated/evalml.pipelines.components.XGBoostClassifier writing output... [ 20%] generated/evalml.pipelines.get_pipelines writing output... [ 20%] generated/evalml.pipelines.load_pipeline writing output... [ 20%] generated/evalml.pipelines.save_pipeline writing output... [ 20%] generated/evalml.preprocessing.load_data writing output... [ 21%] generated/evalml.preprocessing.split_data writing output... [ 21%] generated/evalml.problem_types.ProblemTypes writing output... [ 21%] generated/evalml.problem_types.handle_problem_types writing output... [ 22%] generated/evalml.tuners.SKOptTuner writing output... [ 22%] generated/evalml.tuners.Tuner writing output... [ 22%] generated/methods/evalml.AutoClassificationSearch.__init__ writing output... [ 22%] generated/methods/evalml.AutoRegressionSearch.__init__ writing output... [ 23%] generated/methods/evalml.objectives.AUC.__init__ writing output... [ 23%] generated/methods/evalml.objectives.AUC.fit writing output... [ 23%] generated/methods/evalml.objectives.AUC.predict writing output... [ 24%] generated/methods/evalml.objectives.AUC.score writing output... [ 24%] generated/methods/evalml.objectives.AUC.supports_problem_type writing output... [ 24%] generated/methods/evalml.objectives.AUCMacro.__init__ writing output... [ 24%] generated/methods/evalml.objectives.AUCMacro.fit writing output... [ 25%] generated/methods/evalml.objectives.AUCMacro.predict writing output... [ 25%] generated/methods/evalml.objectives.AUCMacro.score writing output... [ 25%] generated/methods/evalml.objectives.AUCMacro.supports_problem_type writing output... [ 26%] generated/methods/evalml.objectives.AUCMicro.__init__ writing output... [ 26%] generated/methods/evalml.objectives.AUCMicro.fit writing output... [ 26%] generated/methods/evalml.objectives.AUCMicro.predict writing output... [ 26%] generated/methods/evalml.objectives.AUCMicro.score writing output... [ 27%] generated/methods/evalml.objectives.AUCMicro.supports_problem_type writing output... [ 27%] generated/methods/evalml.objectives.AUCWeighted.__init__ writing output... [ 27%] generated/methods/evalml.objectives.AUCWeighted.fit writing output... [ 28%] generated/methods/evalml.objectives.AUCWeighted.predict writing output... [ 28%] generated/methods/evalml.objectives.AUCWeighted.score writing output... [ 28%] generated/methods/evalml.objectives.AUCWeighted.supports_problem_type writing output... [ 28%] generated/methods/evalml.objectives.ConfusionMatrix.__init__ writing output... [ 29%] generated/methods/evalml.objectives.ConfusionMatrix.fit writing output... [ 29%] generated/methods/evalml.objectives.ConfusionMatrix.predict writing output... [ 29%] generated/methods/evalml.objectives.ConfusionMatrix.score writing output... [ 30%] generated/methods/evalml.objectives.ConfusionMatrix.supports_problem_type writing output... [ 30%] generated/methods/evalml.objectives.ExpVariance.__init__ writing output... [ 30%] generated/methods/evalml.objectives.ExpVariance.fit writing output... [ 30%] generated/methods/evalml.objectives.ExpVariance.predict writing output... [ 31%] generated/methods/evalml.objectives.ExpVariance.score writing output... [ 31%] generated/methods/evalml.objectives.ExpVariance.supports_problem_type writing output... [ 31%] generated/methods/evalml.objectives.F1.__init__ writing output... [ 32%] generated/methods/evalml.objectives.F1.fit writing output... [ 32%] generated/methods/evalml.objectives.F1.predict writing output... [ 32%] generated/methods/evalml.objectives.F1.score writing output... [ 32%] generated/methods/evalml.objectives.F1.supports_problem_type writing output... [ 33%] generated/methods/evalml.objectives.F1Macro.__init__ writing output... [ 33%] generated/methods/evalml.objectives.F1Macro.fit writing output... [ 33%] generated/methods/evalml.objectives.F1Macro.predict writing output... [ 33%] generated/methods/evalml.objectives.F1Macro.score writing output... [ 34%] generated/methods/evalml.objectives.F1Macro.supports_problem_type writing output... [ 34%] generated/methods/evalml.objectives.F1Micro.__init__ writing output... [ 34%] generated/methods/evalml.objectives.F1Micro.fit writing output... [ 35%] generated/methods/evalml.objectives.F1Micro.predict writing output... [ 35%] generated/methods/evalml.objectives.F1Micro.score writing output... [ 35%] generated/methods/evalml.objectives.F1Micro.supports_problem_type writing output... [ 35%] generated/methods/evalml.objectives.F1Weighted.__init__ writing output... [ 36%] generated/methods/evalml.objectives.F1Weighted.fit writing output... [ 36%] generated/methods/evalml.objectives.F1Weighted.predict writing output... [ 36%] generated/methods/evalml.objectives.F1Weighted.score writing output... [ 37%] generated/methods/evalml.objectives.F1Weighted.supports_problem_type writing output... [ 37%] generated/methods/evalml.objectives.FraudCost.__init__ writing output... [ 37%] generated/methods/evalml.objectives.FraudCost.decision_function writing output... [ 37%] generated/methods/evalml.objectives.FraudCost.fit writing output... [ 38%] generated/methods/evalml.objectives.FraudCost.objective_function writing output... [ 38%] generated/methods/evalml.objectives.FraudCost.predict writing output... [ 38%] generated/methods/evalml.objectives.FraudCost.score writing output... [ 39%] generated/methods/evalml.objectives.FraudCost.supports_problem_type writing output... [ 39%] generated/methods/evalml.objectives.LeadScoring.__init__ writing output... [ 39%] generated/methods/evalml.objectives.LeadScoring.decision_function writing output... [ 39%] generated/methods/evalml.objectives.LeadScoring.fit writing output... [ 40%] generated/methods/evalml.objectives.LeadScoring.objective_function writing output... [ 40%] generated/methods/evalml.objectives.LeadScoring.predict writing output... [ 40%] generated/methods/evalml.objectives.LeadScoring.score writing output... [ 41%] generated/methods/evalml.objectives.LeadScoring.supports_problem_type writing output... [ 41%] generated/methods/evalml.objectives.LogLoss.__init__ writing output... [ 41%] generated/methods/evalml.objectives.LogLoss.fit writing output... [ 41%] generated/methods/evalml.objectives.LogLoss.predict writing output... [ 42%] generated/methods/evalml.objectives.LogLoss.score writing output... [ 42%] generated/methods/evalml.objectives.LogLoss.supports_problem_type writing output... [ 42%] generated/methods/evalml.objectives.MAE.__init__ writing output... [ 43%] generated/methods/evalml.objectives.MAE.fit writing output... [ 43%] generated/methods/evalml.objectives.MAE.predict writing output... [ 43%] generated/methods/evalml.objectives.MAE.score writing output... [ 43%] generated/methods/evalml.objectives.MAE.supports_problem_type writing output... [ 44%] generated/methods/evalml.objectives.MCC.__init__ writing output... [ 44%] generated/methods/evalml.objectives.MCC.fit writing output... [ 44%] generated/methods/evalml.objectives.MCC.predict writing output... [ 45%] generated/methods/evalml.objectives.MCC.score writing output... [ 45%] generated/methods/evalml.objectives.MCC.supports_problem_type writing output... [ 45%] generated/methods/evalml.objectives.MSE.__init__ writing output... [ 45%] generated/methods/evalml.objectives.MSE.fit writing output... [ 46%] generated/methods/evalml.objectives.MSE.predict writing output... [ 46%] generated/methods/evalml.objectives.MSE.score writing output... [ 46%] generated/methods/evalml.objectives.MSE.supports_problem_type writing output... [ 47%] generated/methods/evalml.objectives.MSLE.__init__ writing output... [ 47%] generated/methods/evalml.objectives.MSLE.fit writing output... [ 47%] generated/methods/evalml.objectives.MSLE.predict writing output... [ 47%] generated/methods/evalml.objectives.MSLE.score writing output... [ 48%] generated/methods/evalml.objectives.MSLE.supports_problem_type writing output... [ 48%] generated/methods/evalml.objectives.MaxError.__init__ writing output... [ 48%] generated/methods/evalml.objectives.MaxError.fit writing output... [ 49%] generated/methods/evalml.objectives.MaxError.predict writing output... [ 49%] generated/methods/evalml.objectives.MaxError.score writing output... [ 49%] generated/methods/evalml.objectives.MaxError.supports_problem_type writing output... [ 49%] generated/methods/evalml.objectives.MedianAE.__init__ writing output... [ 50%] generated/methods/evalml.objectives.MedianAE.fit writing output... [ 50%] generated/methods/evalml.objectives.MedianAE.predict writing output... [ 50%] generated/methods/evalml.objectives.MedianAE.score writing output... [ 50%] generated/methods/evalml.objectives.MedianAE.supports_problem_type writing output... [ 51%] generated/methods/evalml.objectives.Precision.__init__ writing output... [ 51%] generated/methods/evalml.objectives.Precision.fit writing output... [ 51%] generated/methods/evalml.objectives.Precision.predict writing output... [ 52%] generated/methods/evalml.objectives.Precision.score writing output... [ 52%] generated/methods/evalml.objectives.Precision.supports_problem_type writing output... [ 52%] generated/methods/evalml.objectives.PrecisionMacro.__init__ writing output... [ 52%] generated/methods/evalml.objectives.PrecisionMacro.fit writing output... [ 53%] generated/methods/evalml.objectives.PrecisionMacro.predict writing output... [ 53%] generated/methods/evalml.objectives.PrecisionMacro.score writing output... [ 53%] generated/methods/evalml.objectives.PrecisionMacro.supports_problem_type writing output... [ 54%] generated/methods/evalml.objectives.PrecisionMicro.__init__ writing output... [ 54%] generated/methods/evalml.objectives.PrecisionMicro.fit writing output... [ 54%] generated/methods/evalml.objectives.PrecisionMicro.predict writing output... [ 54%] generated/methods/evalml.objectives.PrecisionMicro.score writing output... [ 55%] generated/methods/evalml.objectives.PrecisionMicro.supports_problem_type writing output... [ 55%] generated/methods/evalml.objectives.PrecisionWeighted.__init__ writing output... [ 55%] generated/methods/evalml.objectives.PrecisionWeighted.fit writing output... [ 56%] generated/methods/evalml.objectives.PrecisionWeighted.predict writing output... [ 56%] generated/methods/evalml.objectives.PrecisionWeighted.score writing output... [ 56%] generated/methods/evalml.objectives.PrecisionWeighted.supports_problem_type writing output... [ 56%] generated/methods/evalml.objectives.R2.__init__ writing output... [ 57%] generated/methods/evalml.objectives.R2.fit writing output... [ 57%] generated/methods/evalml.objectives.R2.predict writing output... [ 57%] generated/methods/evalml.objectives.R2.score writing output... [ 58%] generated/methods/evalml.objectives.R2.supports_problem_type writing output... [ 58%] generated/methods/evalml.objectives.ROC.__init__ writing output... [ 58%] generated/methods/evalml.objectives.ROC.fit writing output... [ 58%] generated/methods/evalml.objectives.ROC.predict writing output... [ 59%] generated/methods/evalml.objectives.ROC.score writing output... [ 59%] generated/methods/evalml.objectives.ROC.supports_problem_type writing output... [ 59%] generated/methods/evalml.objectives.Recall.__init__ writing output... [ 60%] generated/methods/evalml.objectives.Recall.fit writing output... [ 60%] generated/methods/evalml.objectives.Recall.predict writing output... [ 60%] generated/methods/evalml.objectives.Recall.score writing output... [ 60%] generated/methods/evalml.objectives.Recall.supports_problem_type writing output... [ 61%] generated/methods/evalml.objectives.RecallMacro.__init__ writing output... [ 61%] generated/methods/evalml.objectives.RecallMacro.fit writing output... [ 61%] generated/methods/evalml.objectives.RecallMacro.predict writing output... [ 62%] generated/methods/evalml.objectives.RecallMacro.score writing output... [ 62%] generated/methods/evalml.objectives.RecallMacro.supports_problem_type writing output... [ 62%] generated/methods/evalml.objectives.RecallMicro.__init__ writing output... [ 62%] generated/methods/evalml.objectives.RecallMicro.fit writing output... [ 63%] generated/methods/evalml.objectives.RecallMicro.predict writing output... [ 63%] generated/methods/evalml.objectives.RecallMicro.score writing output... [ 63%] generated/methods/evalml.objectives.RecallMicro.supports_problem_type writing output... [ 64%] generated/methods/evalml.objectives.RecallWeighted.__init__ writing output... [ 64%] generated/methods/evalml.objectives.RecallWeighted.fit writing output... [ 64%] generated/methods/evalml.objectives.RecallWeighted.predict writing output... [ 64%] generated/methods/evalml.objectives.RecallWeighted.score writing output... [ 65%] generated/methods/evalml.objectives.RecallWeighted.supports_problem_type writing output... [ 65%] generated/methods/evalml.pipelines.LinearRegressionPipeline.__init__ writing output... [ 65%] generated/methods/evalml.pipelines.LinearRegressionPipeline.describe writing output... [ 66%] generated/methods/evalml.pipelines.LinearRegressionPipeline.feature_importance_graph writing output... [ 66%] generated/methods/evalml.pipelines.LinearRegressionPipeline.fit writing output... [ 66%] generated/methods/evalml.pipelines.LinearRegressionPipeline.get_component writing output... [ 66%] generated/methods/evalml.pipelines.LinearRegressionPipeline.graph writing output... [ 67%] generated/methods/evalml.pipelines.LinearRegressionPipeline.predict writing output... [ 67%] generated/methods/evalml.pipelines.LinearRegressionPipeline.predict_proba writing output... [ 67%] generated/methods/evalml.pipelines.LinearRegressionPipeline.score writing output... [ 67%] generated/methods/evalml.pipelines.LogisticRegressionPipeline.__init__ writing output... [ 68%] generated/methods/evalml.pipelines.LogisticRegressionPipeline.describe writing output... [ 68%] generated/methods/evalml.pipelines.LogisticRegressionPipeline.feature_importance_graph writing output... [ 68%] generated/methods/evalml.pipelines.LogisticRegressionPipeline.fit writing output... [ 69%] generated/methods/evalml.pipelines.LogisticRegressionPipeline.get_component writing output... [ 69%] generated/methods/evalml.pipelines.LogisticRegressionPipeline.graph writing output... [ 69%] generated/methods/evalml.pipelines.LogisticRegressionPipeline.predict writing output... [ 69%] generated/methods/evalml.pipelines.LogisticRegressionPipeline.predict_proba writing output... [ 70%] generated/methods/evalml.pipelines.LogisticRegressionPipeline.score writing output... [ 70%] generated/methods/evalml.pipelines.PipelineBase.__init__ writing output... [ 70%] generated/methods/evalml.pipelines.PipelineBase.describe writing output... [ 71%] generated/methods/evalml.pipelines.PipelineBase.feature_importance_graph writing output... [ 71%] generated/methods/evalml.pipelines.PipelineBase.fit writing output... [ 71%] generated/methods/evalml.pipelines.PipelineBase.get_component writing output... [ 71%] generated/methods/evalml.pipelines.PipelineBase.graph writing output... [ 72%] generated/methods/evalml.pipelines.PipelineBase.predict writing output... [ 72%] generated/methods/evalml.pipelines.PipelineBase.predict_proba writing output... [ 72%] generated/methods/evalml.pipelines.PipelineBase.score writing output... [ 73%] generated/methods/evalml.pipelines.RFClassificationPipeline.__init__ writing output... [ 73%] generated/methods/evalml.pipelines.RFClassificationPipeline.describe writing output... [ 73%] generated/methods/evalml.pipelines.RFClassificationPipeline.feature_importance_graph writing output... [ 73%] generated/methods/evalml.pipelines.RFClassificationPipeline.fit writing output... [ 74%] generated/methods/evalml.pipelines.RFClassificationPipeline.get_component writing output... [ 74%] generated/methods/evalml.pipelines.RFClassificationPipeline.graph writing output... [ 74%] generated/methods/evalml.pipelines.RFClassificationPipeline.predict writing output... [ 75%] generated/methods/evalml.pipelines.RFClassificationPipeline.predict_proba writing output... [ 75%] generated/methods/evalml.pipelines.RFClassificationPipeline.score writing output... [ 75%] generated/methods/evalml.pipelines.RFRegressionPipeline.__init__ writing output... [ 75%] generated/methods/evalml.pipelines.RFRegressionPipeline.describe writing output... [ 76%] generated/methods/evalml.pipelines.RFRegressionPipeline.feature_importance_graph writing output... [ 76%] generated/methods/evalml.pipelines.RFRegressionPipeline.fit writing output... [ 76%] generated/methods/evalml.pipelines.RFRegressionPipeline.get_component writing output... [ 77%] generated/methods/evalml.pipelines.RFRegressionPipeline.graph writing output... [ 77%] generated/methods/evalml.pipelines.RFRegressionPipeline.predict writing output... [ 77%] generated/methods/evalml.pipelines.RFRegressionPipeline.predict_proba writing output... [ 77%] generated/methods/evalml.pipelines.RFRegressionPipeline.score writing output... [ 78%] generated/methods/evalml.pipelines.XGBoostPipeline.__init__ writing output... [ 78%] generated/methods/evalml.pipelines.XGBoostPipeline.describe writing output... [ 78%] generated/methods/evalml.pipelines.XGBoostPipeline.feature_importance_graph writing output... [ 79%] generated/methods/evalml.pipelines.XGBoostPipeline.fit writing output... [ 79%] generated/methods/evalml.pipelines.XGBoostPipeline.get_component writing output... [ 79%] generated/methods/evalml.pipelines.XGBoostPipeline.graph writing output... [ 79%] generated/methods/evalml.pipelines.XGBoostPipeline.predict writing output... [ 80%] generated/methods/evalml.pipelines.XGBoostPipeline.predict_proba writing output... [ 80%] generated/methods/evalml.pipelines.XGBoostPipeline.score writing output... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.__init__ writing output... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.describe writing output... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.fit writing output... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.predict writing output... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.predict_proba writing output... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.__init__ writing output... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.describe writing output... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.fit writing output... [ 83%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict writing output... [ 83%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict_proba writing output... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.__init__ writing output... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.describe writing output... [ 84%] generated/methods/evalml.pipelines.components.OneHotEncoder.fit writing output... [ 84%] generated/methods/evalml.pipelines.components.OneHotEncoder.fit_transform writing output... [ 84%] generated/methods/evalml.pipelines.components.OneHotEncoder.get_feature_names writing output... [ 84%] generated/methods/evalml.pipelines.components.OneHotEncoder.transform writing output... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.__init__ writing output... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.describe writing output... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit writing output... [ 86%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit_transform writing output... [ 86%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.get_indices writing output... [ 86%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.get_names writing output... [ 86%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.transform writing output... [ 87%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.__init__ writing output... [ 87%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.describe writing output... [ 87%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit writing output... [ 88%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit_transform writing output... [ 88%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.get_indices writing output... [ 88%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.get_names writing output... [ 88%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.transform writing output... [ 89%] generated/methods/evalml.pipelines.components.RandomForestClassifier.__init__ writing output... [ 89%] generated/methods/evalml.pipelines.components.RandomForestClassifier.describe writing output... [ 89%] generated/methods/evalml.pipelines.components.RandomForestClassifier.fit writing output... [ 90%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict writing output... [ 90%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict_proba writing output... [ 90%] generated/methods/evalml.pipelines.components.RandomForestRegressor.__init__ writing output... [ 90%] generated/methods/evalml.pipelines.components.RandomForestRegressor.describe writing output... [ 91%] generated/methods/evalml.pipelines.components.RandomForestRegressor.fit writing output... [ 91%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict writing output... [ 91%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict_proba writing output... [ 92%] generated/methods/evalml.pipelines.components.SimpleImputer.__init__ writing output... [ 92%] generated/methods/evalml.pipelines.components.SimpleImputer.describe writing output... [ 92%] generated/methods/evalml.pipelines.components.SimpleImputer.fit writing output... [ 92%] generated/methods/evalml.pipelines.components.SimpleImputer.fit_transform writing output... [ 93%] generated/methods/evalml.pipelines.components.SimpleImputer.transform writing output... [ 93%] generated/methods/evalml.pipelines.components.StandardScaler.__init__ writing output... [ 93%] generated/methods/evalml.pipelines.components.StandardScaler.describe writing output... [ 94%] generated/methods/evalml.pipelines.components.StandardScaler.fit writing output... [ 94%] generated/methods/evalml.pipelines.components.StandardScaler.fit_transform writing output... [ 94%] generated/methods/evalml.pipelines.components.StandardScaler.transform writing output... [ 94%] generated/methods/evalml.pipelines.components.XGBoostClassifier.__init__ writing output... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.describe writing output... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.fit writing output... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.predict writing output... [ 96%] generated/methods/evalml.pipelines.components.XGBoostClassifier.predict_proba writing output... [ 96%] generated/methods/evalml.tuners.SKOptTuner.__init__ writing output... [ 96%] generated/methods/evalml.tuners.SKOptTuner.add writing output... [ 96%] generated/methods/evalml.tuners.SKOptTuner.propose writing output... [ 97%] generated/methods/evalml.tuners.Tuner.__init__ writing output... [ 97%] generated/methods/evalml.tuners.Tuner.add writing output... [ 97%] generated/methods/evalml.tuners.Tuner.propose writing output... [ 98%] guardrails/overfitting writing output... [ 98%] guardrails/overview writing output... [ 98%] index writing output... [ 98%] objectives/custom_objectives writing output... [ 99%] objectives/overview writing output... [ 99%] pipelines/components writing output... [ 99%] pipelines/custom_pipelines writing output... [100%] pipelines/overview /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/api_reference.rst:62::: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' :: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/index.ipynb:: WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' generating indices... genindex highlighting module code... [ 2%] evalml.automl.auto_classification_search highlighting module code... [ 5%] evalml.automl.auto_regression_search highlighting module code... [ 7%] evalml.automl.pipeline_search_plots highlighting module code... [ 10%] evalml.demos.breast_cancer highlighting module code... [ 12%] evalml.demos.diabetes highlighting module code... [ 15%] evalml.demos.fraud highlighting module code... [ 17%] evalml.demos.wine highlighting module code... [ 20%] evalml.guardrails.utils highlighting module code... [ 23%] evalml.objectives.fraud_cost highlighting module code... [ 25%] evalml.objectives.lead_scoring highlighting module code... [ 28%] evalml.objectives.objective_base highlighting module code... [ 30%] evalml.objectives.standard_metrics highlighting module code... [ 33%] evalml.pipelines.classification.logistic_regression highlighting module code... [ 35%] evalml.pipelines.classification.random_forest highlighting module code... [ 38%] evalml.pipelines.classification.xgboost highlighting module code... [ 41%] evalml.pipelines.components.component_base highlighting module code... [ 43%] evalml.pipelines.components.estimators.classifiers.logistic_regression highlighting module code... [ 46%] evalml.pipelines.components.estimators.classifiers.rf_classifier highlighting module code... [ 48%] evalml.pipelines.components.estimators.classifiers.xgboost_classifier highlighting module code... [ 51%] evalml.pipelines.components.estimators.estimator highlighting module code... [ 53%] evalml.pipelines.components.estimators.regressors.linear_regressor highlighting module code... [ 56%] evalml.pipelines.components.estimators.regressors.rf_regressor highlighting module code... [ 58%] evalml.pipelines.components.transformers.encoders.encoder highlighting module code... [ 61%] evalml.pipelines.components.transformers.encoders.onehot_encoder highlighting module code... [ 64%] evalml.pipelines.components.transformers.feature_selection.feature_selector highlighting module code... [ 66%] evalml.pipelines.components.transformers.feature_selection.rf_classifier_feature_selector highlighting module code... [ 69%] evalml.pipelines.components.transformers.feature_selection.rf_regressor_feature_selector highlighting module code... [ 71%] evalml.pipelines.components.transformers.imputers.simple_imputer highlighting module code... [ 74%] evalml.pipelines.components.transformers.scalers.standard_scaler highlighting module code... [ 76%] evalml.pipelines.components.transformers.transformer highlighting module code... [ 79%] evalml.pipelines.pipeline_base highlighting module code... [ 82%] evalml.pipelines.regression.linear_regression highlighting module code... [ 84%] evalml.pipelines.regression.random_forest highlighting module code... [ 87%] evalml.pipelines.utils highlighting module code... [ 89%] evalml.preprocessing.utils highlighting module code... [ 92%] evalml.problem_types.problem_types highlighting module code... [ 94%] evalml.problem_types.utils highlighting module code... [ 97%] evalml.tuners.skopt_tuner highlighting module code... [100%] evalml.tuners.tuner writing additional pages... search copying images... [ 33%] images/evalml_logo.png copying images... [ 66%] _build/doctrees-readthedocs/nbsphinx/index_21_0.svg copying images... [100%] pipelines/../_build/doctrees-readthedocs/nbsphinx/pipelines_overview_3_0.svg copying static files... done copying readthedocs static files... done copying searchtools... done copying extra files... done dumping search index in English (code: en) ... done dumping object inventory... done build succeeded, 346 warnings. The HTML pages are in _build/html. [rtd-command-info] start-time: 2020-03-16T15:21:44.858126Z, end-time: 2020-03-16T15:32:02.332679Z, duration: 617, exit-code: 0 python sphinx-build -T -b readthedocssinglehtmllocalmedia -d _build/doctrees-readthedocssinglehtmllocalmedia -D language=en . _build/localmedia Running Sphinx v2.0.1 loading translations [en]... done making output directory... done [autosummary] generating autosummary for: api_reference.rst WARNING: [autosummary] failed to import 'evalml.AutoClassificationSearch.plot.normalize_confusion_matrix': no module named evalml.AutoClassificationSearch.plot.normalize_confusion_matrix building [mo]: targets for 0 po files that are out of date building [readthedocssinglehtmllocalmedia]: all documents updating environment: 353 added, 0 changed, 0 removed reading sources... [ 0%] api_reference reading sources... [ 0%] automl/pipeline_search reading sources... [ 0%] automl/regression_example reading sources... [ 1%] automl/search_results reading sources... [ 1%] changelog reading sources... [ 1%] demos/fraud reading sources... [ 1%] demos/lead_scoring /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages/sklearn/linear_model/_logistic.py:940: ConvergenceWarning: lbfgs failed to converge (status=1): STOP: TOTAL NO. of ITERATIONS REACHED LIMIT. Increase the number of iterations (max_iter) or scale the data as shown in: https://scikit-learn.org/stable/modules/preprocessing.html Please also refer to the documentation for alternative solver options: https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression extra_warning_msg=_LOGISTIC_SOLVER_CONVERGENCE_MSG) /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages/sklearn/linear_model/_logistic.py:940: ConvergenceWarning: lbfgs failed to converge (status=1): STOP: TOTAL NO. of ITERATIONS REACHED LIMIT. Increase the number of iterations (max_iter) or scale the data as shown in: https://scikit-learn.org/stable/modules/preprocessing.html Please also refer to the documentation for alternative solver options: https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression extra_warning_msg=_LOGISTIC_SOLVER_CONVERGENCE_MSG) /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages/sklearn/linear_model/_logistic.py:940: ConvergenceWarning: lbfgs failed to converge (status=1): STOP: TOTAL NO. of ITERATIONS REACHED LIMIT. Increase the number of iterations (max_iter) or scale the data as shown in: https://scikit-learn.org/stable/modules/preprocessing.html Please also refer to the documentation for alternative solver options: https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression extra_warning_msg=_LOGISTIC_SOLVER_CONVERGENCE_MSG) /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages/sklearn/linear_model/_logistic.py:940: ConvergenceWarning: lbfgs failed to converge (status=1): STOP: TOTAL NO. of ITERATIONS REACHED LIMIT. Increase the number of iterations (max_iter) or scale the data as shown in: https://scikit-learn.org/stable/modules/preprocessing.html Please also refer to the documentation for alternative solver options: https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression extra_warning_msg=_LOGISTIC_SOLVER_CONVERGENCE_MSG) /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages/sklearn/linear_model/_logistic.py:940: ConvergenceWarning: lbfgs failed to converge (status=1): STOP: TOTAL NO. of ITERATIONS REACHED LIMIT. Increase the number of iterations (max_iter) or scale the data as shown in: https://scikit-learn.org/stable/modules/preprocessing.html Please also refer to the documentation for alternative solver options: https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression extra_warning_msg=_LOGISTIC_SOLVER_CONVERGENCE_MSG) /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages/sklearn/linear_model/_logistic.py:940: ConvergenceWarning: lbfgs failed to converge (status=1): STOP: TOTAL NO. of ITERATIONS REACHED LIMIT. Increase the number of iterations (max_iter) or scale the data as shown in: https://scikit-learn.org/stable/modules/preprocessing.html Please also refer to the documentation for alternative solver options: https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression extra_warning_msg=_LOGISTIC_SOLVER_CONVERGENCE_MSG) /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages/sklearn/linear_model/_logistic.py:940: ConvergenceWarning: lbfgs failed to converge (status=1): STOP: TOTAL NO. of ITERATIONS REACHED LIMIT. Increase the number of iterations (max_iter) or scale the data as shown in: https://scikit-learn.org/stable/modules/preprocessing.html Please also refer to the documentation for alternative solver options: https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression extra_warning_msg=_LOGISTIC_SOLVER_CONVERGENCE_MSG) /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages/sklearn/linear_model/_logistic.py:940: ConvergenceWarning: lbfgs failed to converge (status=1): STOP: TOTAL NO. of ITERATIONS REACHED LIMIT. Increase the number of iterations (max_iter) or scale the data as shown in: https://scikit-learn.org/stable/modules/preprocessing.html Please also refer to the documentation for alternative solver options: https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression extra_warning_msg=_LOGISTIC_SOLVER_CONVERGENCE_MSG) /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages/sklearn/linear_model/_logistic.py:940: ConvergenceWarning: lbfgs failed to converge (status=1): STOP: TOTAL NO. of ITERATIONS REACHED LIMIT. Increase the number of iterations (max_iter) or scale the data as shown in: https://scikit-learn.org/stable/modules/preprocessing.html Please also refer to the documentation for alternative solver options: https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression extra_warning_msg=_LOGISTIC_SOLVER_CONVERGENCE_MSG) /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages/sklearn/linear_model/_logistic.py:940: ConvergenceWarning: lbfgs failed to converge (status=1): STOP: TOTAL NO. of ITERATIONS REACHED LIMIT. Increase the number of iterations (max_iter) or scale the data as shown in: https://scikit-learn.org/stable/modules/preprocessing.html Please also refer to the documentation for alternative solver options: https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression extra_warning_msg=_LOGISTIC_SOLVER_CONVERGENCE_MSG) /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages/sklearn/linear_model/_logistic.py:940: ConvergenceWarning: lbfgs failed to converge (status=1): STOP: TOTAL NO. of ITERATIONS REACHED LIMIT. Increase the number of iterations (max_iter) or scale the data as shown in: https://scikit-learn.org/stable/modules/preprocessing.html Please also refer to the documentation for alternative solver options: https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression extra_warning_msg=_LOGISTIC_SOLVER_CONVERGENCE_MSG) /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages/sklearn/linear_model/_logistic.py:940: ConvergenceWarning: lbfgs failed to converge (status=1): STOP: TOTAL NO. of ITERATIONS REACHED LIMIT. Increase the number of iterations (max_iter) or scale the data as shown in: https://scikit-learn.org/stable/modules/preprocessing.html Please also refer to the documentation for alternative solver options: https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression extra_warning_msg=_LOGISTIC_SOLVER_CONVERGENCE_MSG) /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages/sklearn/linear_model/_logistic.py:940: ConvergenceWarning: lbfgs failed to converge (status=1): STOP: TOTAL NO. of ITERATIONS REACHED LIMIT. Increase the number of iterations (max_iter) or scale the data as shown in: https://scikit-learn.org/stable/modules/preprocessing.html Please also refer to the documentation for alternative solver options: https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression extra_warning_msg=_LOGISTIC_SOLVER_CONVERGENCE_MSG) reading sources... [ 2%] faq reading sources... [ 2%] generated/evalml.AutoClassificationSearch reading sources... [ 2%] generated/evalml.AutoClassificationSearch.plot.generate_confusion_matrix reading sources... [ 3%] generated/evalml.AutoClassificationSearch.plot.generate_roc_plot reading sources... [ 3%] generated/evalml.AutoClassificationSearch.plot.get_confusion_matrix_data reading sources... [ 3%] generated/evalml.AutoClassificationSearch.plot.get_roc_data reading sources... [ 3%] generated/evalml.AutoRegressionSearch reading sources... [ 4%] generated/evalml.demos.load_breast_cancer reading sources... [ 4%] generated/evalml.demos.load_diabetes reading sources... [ 4%] generated/evalml.demos.load_fraud reading sources... [ 5%] generated/evalml.demos.load_wine reading sources... [ 5%] generated/evalml.guardrails.detect_highly_null reading sources... [ 5%] generated/evalml.guardrails.detect_id_columns reading sources... [ 5%] generated/evalml.guardrails.detect_label_leakage reading sources... [ 6%] generated/evalml.guardrails.detect_outliers reading sources... [ 6%] generated/evalml.list_model_types reading sources... [ 6%] generated/evalml.objectives.AUC reading sources... [ 7%] generated/evalml.objectives.AUCMacro reading sources... [ 7%] generated/evalml.objectives.AUCMicro reading sources... [ 7%] generated/evalml.objectives.AUCWeighted reading sources... [ 7%] generated/evalml.objectives.ConfusionMatrix reading sources... [ 8%] generated/evalml.objectives.ExpVariance reading sources... [ 8%] generated/evalml.objectives.F1 reading sources... [ 8%] generated/evalml.objectives.F1Macro reading sources... [ 9%] generated/evalml.objectives.F1Micro reading sources... [ 9%] generated/evalml.objectives.F1Weighted reading sources... [ 9%] generated/evalml.objectives.FraudCost reading sources... [ 9%] generated/evalml.objectives.LeadScoring reading sources... [ 10%] generated/evalml.objectives.LogLoss reading sources... [ 10%] generated/evalml.objectives.MAE reading sources... [ 10%] generated/evalml.objectives.MCC reading sources... [ 11%] generated/evalml.objectives.MSE reading sources... [ 11%] generated/evalml.objectives.MSLE reading sources... [ 11%] generated/evalml.objectives.MaxError reading sources... [ 11%] generated/evalml.objectives.MedianAE reading sources... [ 12%] generated/evalml.objectives.Precision reading sources... [ 12%] generated/evalml.objectives.PrecisionMacro reading sources... [ 12%] generated/evalml.objectives.PrecisionMicro reading sources... [ 13%] generated/evalml.objectives.PrecisionWeighted reading sources... [ 13%] generated/evalml.objectives.R2 reading sources... [ 13%] generated/evalml.objectives.ROC reading sources... [ 13%] generated/evalml.objectives.Recall reading sources... [ 14%] generated/evalml.objectives.RecallMacro reading sources... [ 14%] generated/evalml.objectives.RecallMicro reading sources... [ 14%] generated/evalml.objectives.RecallWeighted reading sources... [ 15%] generated/evalml.pipelines.LinearRegressionPipeline reading sources... [ 15%] generated/evalml.pipelines.LogisticRegressionPipeline reading sources... [ 15%] generated/evalml.pipelines.PipelineBase reading sources... [ 15%] generated/evalml.pipelines.PipelineBase.feature_importance_graph reading sources... [ 16%] generated/evalml.pipelines.PipelineBase.graph reading sources... [ 16%] generated/evalml.pipelines.RFClassificationPipeline reading sources... [ 16%] generated/evalml.pipelines.RFRegressionPipeline reading sources... [ 16%] generated/evalml.pipelines.XGBoostPipeline reading sources... [ 17%] generated/evalml.pipelines.components.LinearRegressor reading sources... [ 17%] generated/evalml.pipelines.components.LogisticRegressionClassifier reading sources... [ 17%] generated/evalml.pipelines.components.OneHotEncoder reading sources... [ 18%] generated/evalml.pipelines.components.RFClassifierSelectFromModel reading sources... [ 18%] generated/evalml.pipelines.components.RFRegressorSelectFromModel reading sources... [ 18%] generated/evalml.pipelines.components.RandomForestClassifier reading sources... [ 18%] generated/evalml.pipelines.components.RandomForestRegressor reading sources... [ 19%] generated/evalml.pipelines.components.SimpleImputer reading sources... [ 19%] generated/evalml.pipelines.components.StandardScaler reading sources... [ 19%] generated/evalml.pipelines.components.XGBoostClassifier reading sources... [ 20%] generated/evalml.pipelines.get_pipelines reading sources... [ 20%] generated/evalml.pipelines.load_pipeline reading sources... [ 20%] generated/evalml.pipelines.save_pipeline reading sources... [ 20%] generated/evalml.preprocessing.load_data reading sources... [ 21%] generated/evalml.preprocessing.split_data reading sources... [ 21%] generated/evalml.problem_types.ProblemTypes reading sources... [ 21%] generated/evalml.problem_types.handle_problem_types reading sources... [ 22%] generated/evalml.tuners.SKOptTuner reading sources... [ 22%] generated/evalml.tuners.Tuner reading sources... [ 22%] generated/methods/evalml.AutoClassificationSearch.__init__ reading sources... [ 22%] generated/methods/evalml.AutoRegressionSearch.__init__ reading sources... [ 23%] generated/methods/evalml.objectives.AUC.__init__ reading sources... [ 23%] generated/methods/evalml.objectives.AUC.fit reading sources... [ 23%] generated/methods/evalml.objectives.AUC.predict reading sources... [ 24%] generated/methods/evalml.objectives.AUC.score reading sources... [ 24%] generated/methods/evalml.objectives.AUC.supports_problem_type reading sources... [ 24%] generated/methods/evalml.objectives.AUCMacro.__init__ reading sources... [ 24%] generated/methods/evalml.objectives.AUCMacro.fit reading sources... [ 25%] generated/methods/evalml.objectives.AUCMacro.predict reading sources... [ 25%] generated/methods/evalml.objectives.AUCMacro.score reading sources... [ 25%] generated/methods/evalml.objectives.AUCMacro.supports_problem_type reading sources... [ 26%] generated/methods/evalml.objectives.AUCMicro.__init__ reading sources... [ 26%] generated/methods/evalml.objectives.AUCMicro.fit reading sources... [ 26%] generated/methods/evalml.objectives.AUCMicro.predict reading sources... [ 26%] generated/methods/evalml.objectives.AUCMicro.score reading sources... [ 27%] generated/methods/evalml.objectives.AUCMicro.supports_problem_type reading sources... [ 27%] generated/methods/evalml.objectives.AUCWeighted.__init__ reading sources... [ 27%] generated/methods/evalml.objectives.AUCWeighted.fit reading sources... [ 28%] generated/methods/evalml.objectives.AUCWeighted.predict reading sources... [ 28%] generated/methods/evalml.objectives.AUCWeighted.score reading sources... [ 28%] generated/methods/evalml.objectives.AUCWeighted.supports_problem_type reading sources... [ 28%] generated/methods/evalml.objectives.ConfusionMatrix.__init__ reading sources... [ 29%] generated/methods/evalml.objectives.ConfusionMatrix.fit reading sources... [ 29%] generated/methods/evalml.objectives.ConfusionMatrix.predict reading sources... [ 29%] generated/methods/evalml.objectives.ConfusionMatrix.score reading sources... [ 30%] generated/methods/evalml.objectives.ConfusionMatrix.supports_problem_type reading sources... [ 30%] generated/methods/evalml.objectives.ExpVariance.__init__ reading sources... [ 30%] generated/methods/evalml.objectives.ExpVariance.fit reading sources... [ 30%] generated/methods/evalml.objectives.ExpVariance.predict reading sources... [ 31%] generated/methods/evalml.objectives.ExpVariance.score reading sources... [ 31%] generated/methods/evalml.objectives.ExpVariance.supports_problem_type reading sources... [ 31%] generated/methods/evalml.objectives.F1.__init__ reading sources... [ 32%] generated/methods/evalml.objectives.F1.fit reading sources... [ 32%] generated/methods/evalml.objectives.F1.predict reading sources... [ 32%] generated/methods/evalml.objectives.F1.score reading sources... [ 32%] generated/methods/evalml.objectives.F1.supports_problem_type reading sources... [ 33%] generated/methods/evalml.objectives.F1Macro.__init__ reading sources... [ 33%] generated/methods/evalml.objectives.F1Macro.fit reading sources... [ 33%] generated/methods/evalml.objectives.F1Macro.predict reading sources... [ 33%] generated/methods/evalml.objectives.F1Macro.score reading sources... [ 34%] generated/methods/evalml.objectives.F1Macro.supports_problem_type reading sources... [ 34%] generated/methods/evalml.objectives.F1Micro.__init__ reading sources... [ 34%] generated/methods/evalml.objectives.F1Micro.fit reading sources... [ 35%] generated/methods/evalml.objectives.F1Micro.predict reading sources... [ 35%] generated/methods/evalml.objectives.F1Micro.score reading sources... [ 35%] generated/methods/evalml.objectives.F1Micro.supports_problem_type reading sources... [ 35%] generated/methods/evalml.objectives.F1Weighted.__init__ reading sources... [ 36%] generated/methods/evalml.objectives.F1Weighted.fit reading sources... [ 36%] generated/methods/evalml.objectives.F1Weighted.predict reading sources... [ 36%] generated/methods/evalml.objectives.F1Weighted.score reading sources... [ 37%] generated/methods/evalml.objectives.F1Weighted.supports_problem_type reading sources... [ 37%] generated/methods/evalml.objectives.FraudCost.__init__ reading sources... [ 37%] generated/methods/evalml.objectives.FraudCost.decision_function reading sources... [ 37%] generated/methods/evalml.objectives.FraudCost.fit reading sources... [ 38%] generated/methods/evalml.objectives.FraudCost.objective_function reading sources... [ 38%] generated/methods/evalml.objectives.FraudCost.predict reading sources... [ 38%] generated/methods/evalml.objectives.FraudCost.score reading sources... [ 39%] generated/methods/evalml.objectives.FraudCost.supports_problem_type reading sources... [ 39%] generated/methods/evalml.objectives.LeadScoring.__init__ reading sources... [ 39%] generated/methods/evalml.objectives.LeadScoring.decision_function reading sources... [ 39%] generated/methods/evalml.objectives.LeadScoring.fit reading sources... [ 40%] generated/methods/evalml.objectives.LeadScoring.objective_function reading sources... [ 40%] generated/methods/evalml.objectives.LeadScoring.predict reading sources... [ 40%] generated/methods/evalml.objectives.LeadScoring.score reading sources... [ 41%] generated/methods/evalml.objectives.LeadScoring.supports_problem_type reading sources... [ 41%] generated/methods/evalml.objectives.LogLoss.__init__ reading sources... [ 41%] generated/methods/evalml.objectives.LogLoss.fit reading sources... [ 41%] generated/methods/evalml.objectives.LogLoss.predict reading sources... [ 42%] generated/methods/evalml.objectives.LogLoss.score reading sources... [ 42%] generated/methods/evalml.objectives.LogLoss.supports_problem_type reading sources... [ 42%] generated/methods/evalml.objectives.MAE.__init__ reading sources... [ 43%] generated/methods/evalml.objectives.MAE.fit reading sources... [ 43%] generated/methods/evalml.objectives.MAE.predict reading sources... [ 43%] generated/methods/evalml.objectives.MAE.score reading sources... [ 43%] generated/methods/evalml.objectives.MAE.supports_problem_type reading sources... [ 44%] generated/methods/evalml.objectives.MCC.__init__ reading sources... [ 44%] generated/methods/evalml.objectives.MCC.fit reading sources... [ 44%] generated/methods/evalml.objectives.MCC.predict reading sources... [ 45%] generated/methods/evalml.objectives.MCC.score reading sources... [ 45%] generated/methods/evalml.objectives.MCC.supports_problem_type reading sources... [ 45%] generated/methods/evalml.objectives.MSE.__init__ reading sources... [ 45%] generated/methods/evalml.objectives.MSE.fit reading sources... [ 46%] generated/methods/evalml.objectives.MSE.predict reading sources... [ 46%] generated/methods/evalml.objectives.MSE.score reading sources... [ 46%] generated/methods/evalml.objectives.MSE.supports_problem_type reading sources... [ 47%] generated/methods/evalml.objectives.MSLE.__init__ reading sources... [ 47%] generated/methods/evalml.objectives.MSLE.fit reading sources... [ 47%] generated/methods/evalml.objectives.MSLE.predict reading sources... [ 47%] generated/methods/evalml.objectives.MSLE.score reading sources... [ 48%] generated/methods/evalml.objectives.MSLE.supports_problem_type reading sources... [ 48%] generated/methods/evalml.objectives.MaxError.__init__ reading sources... [ 48%] generated/methods/evalml.objectives.MaxError.fit reading sources... [ 49%] generated/methods/evalml.objectives.MaxError.predict reading sources... [ 49%] generated/methods/evalml.objectives.MaxError.score reading sources... [ 49%] generated/methods/evalml.objectives.MaxError.supports_problem_type reading sources... [ 49%] generated/methods/evalml.objectives.MedianAE.__init__ reading sources... [ 50%] generated/methods/evalml.objectives.MedianAE.fit reading sources... [ 50%] generated/methods/evalml.objectives.MedianAE.predict reading sources... [ 50%] generated/methods/evalml.objectives.MedianAE.score reading sources... [ 50%] generated/methods/evalml.objectives.MedianAE.supports_problem_type reading sources... [ 51%] generated/methods/evalml.objectives.Precision.__init__ reading sources... [ 51%] generated/methods/evalml.objectives.Precision.fit reading sources... [ 51%] generated/methods/evalml.objectives.Precision.predict reading sources... [ 52%] generated/methods/evalml.objectives.Precision.score reading sources... [ 52%] generated/methods/evalml.objectives.Precision.supports_problem_type reading sources... [ 52%] generated/methods/evalml.objectives.PrecisionMacro.__init__ reading sources... [ 52%] generated/methods/evalml.objectives.PrecisionMacro.fit reading sources... [ 53%] generated/methods/evalml.objectives.PrecisionMacro.predict reading sources... [ 53%] generated/methods/evalml.objectives.PrecisionMacro.score reading sources... [ 53%] generated/methods/evalml.objectives.PrecisionMacro.supports_problem_type reading sources... [ 54%] generated/methods/evalml.objectives.PrecisionMicro.__init__ reading sources... [ 54%] generated/methods/evalml.objectives.PrecisionMicro.fit reading sources... [ 54%] generated/methods/evalml.objectives.PrecisionMicro.predict reading sources... [ 54%] generated/methods/evalml.objectives.PrecisionMicro.score reading sources... [ 55%] generated/methods/evalml.objectives.PrecisionMicro.supports_problem_type reading sources... [ 55%] generated/methods/evalml.objectives.PrecisionWeighted.__init__ reading sources... [ 55%] generated/methods/evalml.objectives.PrecisionWeighted.fit reading sources... [ 56%] generated/methods/evalml.objectives.PrecisionWeighted.predict reading sources... [ 56%] generated/methods/evalml.objectives.PrecisionWeighted.score reading sources... [ 56%] generated/methods/evalml.objectives.PrecisionWeighted.supports_problem_type reading sources... [ 56%] generated/methods/evalml.objectives.R2.__init__ reading sources... [ 57%] generated/methods/evalml.objectives.R2.fit reading sources... [ 57%] generated/methods/evalml.objectives.R2.predict reading sources... [ 57%] generated/methods/evalml.objectives.R2.score reading sources... [ 58%] generated/methods/evalml.objectives.R2.supports_problem_type reading sources... [ 58%] generated/methods/evalml.objectives.ROC.__init__ reading sources... [ 58%] generated/methods/evalml.objectives.ROC.fit reading sources... [ 58%] generated/methods/evalml.objectives.ROC.predict reading sources... [ 59%] generated/methods/evalml.objectives.ROC.score reading sources... [ 59%] generated/methods/evalml.objectives.ROC.supports_problem_type reading sources... [ 59%] generated/methods/evalml.objectives.Recall.__init__ reading sources... [ 60%] generated/methods/evalml.objectives.Recall.fit reading sources... [ 60%] generated/methods/evalml.objectives.Recall.predict reading sources... [ 60%] generated/methods/evalml.objectives.Recall.score reading sources... [ 60%] generated/methods/evalml.objectives.Recall.supports_problem_type reading sources... [ 61%] generated/methods/evalml.objectives.RecallMacro.__init__ reading sources... [ 61%] generated/methods/evalml.objectives.RecallMacro.fit reading sources... [ 61%] generated/methods/evalml.objectives.RecallMacro.predict reading sources... [ 62%] generated/methods/evalml.objectives.RecallMacro.score reading sources... [ 62%] generated/methods/evalml.objectives.RecallMacro.supports_problem_type reading sources... [ 62%] generated/methods/evalml.objectives.RecallMicro.__init__ reading sources... [ 62%] generated/methods/evalml.objectives.RecallMicro.fit reading sources... [ 63%] generated/methods/evalml.objectives.RecallMicro.predict reading sources... [ 63%] generated/methods/evalml.objectives.RecallMicro.score reading sources... [ 63%] generated/methods/evalml.objectives.RecallMicro.supports_problem_type reading sources... [ 64%] generated/methods/evalml.objectives.RecallWeighted.__init__ reading sources... [ 64%] generated/methods/evalml.objectives.RecallWeighted.fit reading sources... [ 64%] generated/methods/evalml.objectives.RecallWeighted.predict reading sources... [ 64%] generated/methods/evalml.objectives.RecallWeighted.score reading sources... [ 65%] generated/methods/evalml.objectives.RecallWeighted.supports_problem_type reading sources... [ 65%] generated/methods/evalml.pipelines.LinearRegressionPipeline.__init__ reading sources... [ 65%] generated/methods/evalml.pipelines.LinearRegressionPipeline.describe reading sources... [ 66%] generated/methods/evalml.pipelines.LinearRegressionPipeline.feature_importance_graph reading sources... [ 66%] generated/methods/evalml.pipelines.LinearRegressionPipeline.fit reading sources... [ 66%] generated/methods/evalml.pipelines.LinearRegressionPipeline.get_component reading sources... [ 66%] generated/methods/evalml.pipelines.LinearRegressionPipeline.graph reading sources... [ 67%] generated/methods/evalml.pipelines.LinearRegressionPipeline.predict reading sources... [ 67%] generated/methods/evalml.pipelines.LinearRegressionPipeline.predict_proba reading sources... [ 67%] generated/methods/evalml.pipelines.LinearRegressionPipeline.score reading sources... [ 67%] generated/methods/evalml.pipelines.LogisticRegressionPipeline.__init__ reading sources... [ 68%] generated/methods/evalml.pipelines.LogisticRegressionPipeline.describe reading sources... [ 68%] generated/methods/evalml.pipelines.LogisticRegressionPipeline.feature_importance_graph reading sources... [ 68%] generated/methods/evalml.pipelines.LogisticRegressionPipeline.fit reading sources... [ 69%] generated/methods/evalml.pipelines.LogisticRegressionPipeline.get_component reading sources... [ 69%] generated/methods/evalml.pipelines.LogisticRegressionPipeline.graph reading sources... [ 69%] generated/methods/evalml.pipelines.LogisticRegressionPipeline.predict reading sources... [ 69%] generated/methods/evalml.pipelines.LogisticRegressionPipeline.predict_proba reading sources... [ 70%] generated/methods/evalml.pipelines.LogisticRegressionPipeline.score reading sources... [ 70%] generated/methods/evalml.pipelines.PipelineBase.__init__ reading sources... [ 70%] generated/methods/evalml.pipelines.PipelineBase.describe reading sources... [ 71%] generated/methods/evalml.pipelines.PipelineBase.feature_importance_graph reading sources... [ 71%] generated/methods/evalml.pipelines.PipelineBase.fit reading sources... [ 71%] generated/methods/evalml.pipelines.PipelineBase.get_component reading sources... [ 71%] generated/methods/evalml.pipelines.PipelineBase.graph reading sources... [ 72%] generated/methods/evalml.pipelines.PipelineBase.predict reading sources... [ 72%] generated/methods/evalml.pipelines.PipelineBase.predict_proba reading sources... [ 72%] generated/methods/evalml.pipelines.PipelineBase.score reading sources... [ 73%] generated/methods/evalml.pipelines.RFClassificationPipeline.__init__ reading sources... [ 73%] generated/methods/evalml.pipelines.RFClassificationPipeline.describe reading sources... [ 73%] generated/methods/evalml.pipelines.RFClassificationPipeline.feature_importance_graph reading sources... [ 73%] generated/methods/evalml.pipelines.RFClassificationPipeline.fit reading sources... [ 74%] generated/methods/evalml.pipelines.RFClassificationPipeline.get_component reading sources... [ 74%] generated/methods/evalml.pipelines.RFClassificationPipeline.graph reading sources... [ 74%] generated/methods/evalml.pipelines.RFClassificationPipeline.predict reading sources... [ 75%] generated/methods/evalml.pipelines.RFClassificationPipeline.predict_proba reading sources... [ 75%] generated/methods/evalml.pipelines.RFClassificationPipeline.score reading sources... [ 75%] generated/methods/evalml.pipelines.RFRegressionPipeline.__init__ reading sources... [ 75%] generated/methods/evalml.pipelines.RFRegressionPipeline.describe reading sources... [ 76%] generated/methods/evalml.pipelines.RFRegressionPipeline.feature_importance_graph reading sources... [ 76%] generated/methods/evalml.pipelines.RFRegressionPipeline.fit reading sources... [ 76%] generated/methods/evalml.pipelines.RFRegressionPipeline.get_component reading sources... [ 77%] generated/methods/evalml.pipelines.RFRegressionPipeline.graph reading sources... [ 77%] generated/methods/evalml.pipelines.RFRegressionPipeline.predict reading sources... [ 77%] generated/methods/evalml.pipelines.RFRegressionPipeline.predict_proba reading sources... [ 77%] generated/methods/evalml.pipelines.RFRegressionPipeline.score reading sources... [ 78%] generated/methods/evalml.pipelines.XGBoostPipeline.__init__ reading sources... [ 78%] generated/methods/evalml.pipelines.XGBoostPipeline.describe reading sources... [ 78%] generated/methods/evalml.pipelines.XGBoostPipeline.feature_importance_graph reading sources... [ 79%] generated/methods/evalml.pipelines.XGBoostPipeline.fit reading sources... [ 79%] generated/methods/evalml.pipelines.XGBoostPipeline.get_component reading sources... [ 79%] generated/methods/evalml.pipelines.XGBoostPipeline.graph reading sources... [ 79%] generated/methods/evalml.pipelines.XGBoostPipeline.predict reading sources... [ 80%] generated/methods/evalml.pipelines.XGBoostPipeline.predict_proba reading sources... [ 80%] generated/methods/evalml.pipelines.XGBoostPipeline.score reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.__init__ reading sources... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.describe reading sources... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.fit reading sources... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.predict reading sources... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.predict_proba reading sources... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.__init__ reading sources... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.describe reading sources... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.fit reading sources... [ 83%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict reading sources... [ 83%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict_proba reading sources... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.__init__ reading sources... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.describe reading sources... [ 84%] generated/methods/evalml.pipelines.components.OneHotEncoder.fit reading sources... [ 84%] generated/methods/evalml.pipelines.components.OneHotEncoder.fit_transform reading sources... [ 84%] generated/methods/evalml.pipelines.components.OneHotEncoder.get_feature_names reading sources... [ 84%] generated/methods/evalml.pipelines.components.OneHotEncoder.transform reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.__init__ reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.describe reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit_transform reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.get_indices reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.get_names reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.transform reading sources... [ 87%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.__init__ reading sources... [ 87%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.describe reading sources... [ 87%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit reading sources... [ 88%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit_transform reading sources... [ 88%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.get_indices reading sources... [ 88%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.get_names reading sources... [ 88%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.transform reading sources... [ 89%] generated/methods/evalml.pipelines.components.RandomForestClassifier.__init__ reading sources... [ 89%] generated/methods/evalml.pipelines.components.RandomForestClassifier.describe reading sources... [ 89%] generated/methods/evalml.pipelines.components.RandomForestClassifier.fit reading sources... [ 90%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict reading sources... [ 90%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict_proba reading sources... [ 90%] generated/methods/evalml.pipelines.components.RandomForestRegressor.__init__ reading sources... [ 90%] generated/methods/evalml.pipelines.components.RandomForestRegressor.describe reading sources... [ 91%] generated/methods/evalml.pipelines.components.RandomForestRegressor.fit reading sources... [ 91%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict reading sources... [ 91%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict_proba reading sources... [ 92%] generated/methods/evalml.pipelines.components.SimpleImputer.__init__ reading sources... [ 92%] generated/methods/evalml.pipelines.components.SimpleImputer.describe reading sources... [ 92%] generated/methods/evalml.pipelines.components.SimpleImputer.fit reading sources... [ 92%] generated/methods/evalml.pipelines.components.SimpleImputer.fit_transform reading sources... [ 93%] generated/methods/evalml.pipelines.components.SimpleImputer.transform reading sources... [ 93%] generated/methods/evalml.pipelines.components.StandardScaler.__init__ reading sources... [ 93%] generated/methods/evalml.pipelines.components.StandardScaler.describe reading sources... [ 94%] generated/methods/evalml.pipelines.components.StandardScaler.fit reading sources... [ 94%] generated/methods/evalml.pipelines.components.StandardScaler.fit_transform reading sources... [ 94%] generated/methods/evalml.pipelines.components.StandardScaler.transform reading sources... [ 94%] generated/methods/evalml.pipelines.components.XGBoostClassifier.__init__ reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.describe reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.fit reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.predict reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostClassifier.predict_proba reading sources... [ 96%] generated/methods/evalml.tuners.SKOptTuner.__init__ reading sources... [ 96%] generated/methods/evalml.tuners.SKOptTuner.add reading sources... [ 96%] generated/methods/evalml.tuners.SKOptTuner.propose reading sources... [ 97%] generated/methods/evalml.tuners.Tuner.__init__ reading sources... [ 97%] generated/methods/evalml.tuners.Tuner.add reading sources... [ 97%] generated/methods/evalml.tuners.Tuner.propose reading sources... [ 98%] guardrails/overfitting reading sources... [ 98%] guardrails/overview reading sources... [ 98%] index reading sources... [ 98%] objectives/custom_objectives reading sources... [ 99%] objectives/overview reading sources... [ 99%] pipelines/components reading sources... [ 99%] pipelines/custom_pipelines reading sources... [100%] pipelines/overview WARNING: failed to import AutoClassificationSearch.plot.normalize_confusion_matrix WARNING: toctree references unknown document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/changelog.rst:52: WARNING: Definition list ends without a blank line; unexpected unindent. /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages/evalml/pipelines/pipeline_base.py:docstring of evalml.pipelines.PipelineBase.feature_importance_graph:1: WARNING: duplicate object description of evalml.pipelines.PipelineBase.feature_importance_graph, other instance in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.pipelines.PipelineBase.feature_importance_graph.rst, use :noindex: for one of them /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages/evalml/pipelines/pipeline_base.py:docstring of evalml.pipelines.PipelineBase.graph:1: WARNING: duplicate object description of evalml.pipelines.PipelineBase.graph, other instance in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.pipelines.PipelineBase.graph.rst, use :noindex: for one of them looking for now-outdated files... none found pickling environment... done checking consistency... done preparing documents... done assembling single document... objectives/overview demos/fraud demos/lead_scoring objectives/custom_objectives automl/pipeline_search automl/search_results automl/regression_example pipelines/overview pipelines/components pipelines/custom_pipelines guardrails/overview guardrails/overfitting changelog 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.preprocessing.load_data generated/evalml.preprocessing.split_data generated/evalml.AutoClassificationSearch generated/methods/evalml.AutoClassificationSearch.__init__ generated/evalml.AutoRegressionSearch generated/methods/evalml.AutoRegressionSearch.__init__ generated/evalml.AutoClassificationSearch.plot.get_roc_data generated/evalml.AutoClassificationSearch.plot.generate_roc_plot generated/evalml.AutoClassificationSearch.plot.get_confusion_matrix_data generated/evalml.AutoClassificationSearch.plot.generate_confusion_matrix generated/AutoClassificationSearch.plot.normalize_confusion_matrix generated/evalml.list_model_types generated/evalml.pipelines.components.OneHotEncoder /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/api_reference.rst: WARNING: toctree contains ref to nonexisting file 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' generated/methods/evalml.pipelines.components.OneHotEncoder.__init__ generated/methods/evalml.pipelines.components.OneHotEncoder.describe generated/methods/evalml.pipelines.components.OneHotEncoder.fit generated/methods/evalml.pipelines.components.OneHotEncoder.fit_transform generated/methods/evalml.pipelines.components.OneHotEncoder.get_feature_names generated/methods/evalml.pipelines.components.OneHotEncoder.transform generated/evalml.pipelines.components.RFRegressorSelectFromModel generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.__init__ generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.describe generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit_transform generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.get_indices generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.get_names generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.transform generated/evalml.pipelines.components.RFClassifierSelectFromModel generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.__init__ generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.describe generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit_transform generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.get_indices generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.get_names generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.transform generated/evalml.pipelines.components.SimpleImputer generated/methods/evalml.pipelines.components.SimpleImputer.__init__ generated/methods/evalml.pipelines.components.SimpleImputer.describe generated/methods/evalml.pipelines.components.SimpleImputer.fit generated/methods/evalml.pipelines.components.SimpleImputer.fit_transform generated/methods/evalml.pipelines.components.SimpleImputer.transform generated/evalml.pipelines.components.StandardScaler generated/methods/evalml.pipelines.components.StandardScaler.__init__ generated/methods/evalml.pipelines.components.StandardScaler.describe generated/methods/evalml.pipelines.components.StandardScaler.fit generated/methods/evalml.pipelines.components.StandardScaler.fit_transform generated/methods/evalml.pipelines.components.StandardScaler.transform generated/evalml.pipelines.components.LogisticRegressionClassifier generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.__init__ generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.describe generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.fit generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict_proba generated/evalml.pipelines.components.RandomForestClassifier generated/methods/evalml.pipelines.components.RandomForestClassifier.__init__ generated/methods/evalml.pipelines.components.RandomForestClassifier.describe generated/methods/evalml.pipelines.components.RandomForestClassifier.fit generated/methods/evalml.pipelines.components.RandomForestClassifier.predict generated/methods/evalml.pipelines.components.RandomForestClassifier.predict_proba generated/evalml.pipelines.components.XGBoostClassifier generated/methods/evalml.pipelines.components.XGBoostClassifier.__init__ generated/methods/evalml.pipelines.components.XGBoostClassifier.describe generated/methods/evalml.pipelines.components.XGBoostClassifier.fit generated/methods/evalml.pipelines.components.XGBoostClassifier.predict generated/methods/evalml.pipelines.components.XGBoostClassifier.predict_proba generated/evalml.pipelines.components.LinearRegressor generated/methods/evalml.pipelines.components.LinearRegressor.__init__ generated/methods/evalml.pipelines.components.LinearRegressor.describe generated/methods/evalml.pipelines.components.LinearRegressor.fit generated/methods/evalml.pipelines.components.LinearRegressor.predict generated/methods/evalml.pipelines.components.LinearRegressor.predict_proba generated/evalml.pipelines.components.RandomForestRegressor generated/methods/evalml.pipelines.components.RandomForestRegressor.__init__ generated/methods/evalml.pipelines.components.RandomForestRegressor.describe generated/methods/evalml.pipelines.components.RandomForestRegressor.fit generated/methods/evalml.pipelines.components.RandomForestRegressor.predict generated/methods/evalml.pipelines.components.RandomForestRegressor.predict_proba generated/evalml.pipelines.get_pipelines generated/evalml.pipelines.save_pipeline generated/evalml.pipelines.load_pipeline generated/evalml.pipelines.PipelineBase generated/methods/evalml.pipelines.PipelineBase.__init__ generated/methods/evalml.pipelines.PipelineBase.describe generated/methods/evalml.pipelines.PipelineBase.feature_importance_graph generated/methods/evalml.pipelines.PipelineBase.fit generated/methods/evalml.pipelines.PipelineBase.get_component generated/methods/evalml.pipelines.PipelineBase.graph generated/methods/evalml.pipelines.PipelineBase.predict generated/methods/evalml.pipelines.PipelineBase.predict_proba generated/methods/evalml.pipelines.PipelineBase.score generated/evalml.pipelines.RFClassificationPipeline generated/methods/evalml.pipelines.RFClassificationPipeline.__init__ generated/methods/evalml.pipelines.RFClassificationPipeline.describe generated/methods/evalml.pipelines.RFClassificationPipeline.feature_importance_graph generated/methods/evalml.pipelines.RFClassificationPipeline.fit generated/methods/evalml.pipelines.RFClassificationPipeline.get_component generated/methods/evalml.pipelines.RFClassificationPipeline.graph generated/methods/evalml.pipelines.RFClassificationPipeline.predict generated/methods/evalml.pipelines.RFClassificationPipeline.predict_proba generated/methods/evalml.pipelines.RFClassificationPipeline.score generated/evalml.pipelines.XGBoostPipeline generated/methods/evalml.pipelines.XGBoostPipeline.__init__ generated/methods/evalml.pipelines.XGBoostPipeline.describe generated/methods/evalml.pipelines.XGBoostPipeline.feature_importance_graph generated/methods/evalml.pipelines.XGBoostPipeline.fit generated/methods/evalml.pipelines.XGBoostPipeline.get_component generated/methods/evalml.pipelines.XGBoostPipeline.graph generated/methods/evalml.pipelines.XGBoostPipeline.predict generated/methods/evalml.pipelines.XGBoostPipeline.predict_proba generated/methods/evalml.pipelines.XGBoostPipeline.score generated/evalml.pipelines.LogisticRegressionPipeline generated/methods/evalml.pipelines.LogisticRegressionPipeline.__init__ generated/methods/evalml.pipelines.LogisticRegressionPipeline.describe generated/methods/evalml.pipelines.LogisticRegressionPipeline.feature_importance_graph generated/methods/evalml.pipelines.LogisticRegressionPipeline.fit generated/methods/evalml.pipelines.LogisticRegressionPipeline.get_component generated/methods/evalml.pipelines.LogisticRegressionPipeline.graph generated/methods/evalml.pipelines.LogisticRegressionPipeline.predict generated/methods/evalml.pipelines.LogisticRegressionPipeline.predict_proba generated/methods/evalml.pipelines.LogisticRegressionPipeline.score generated/evalml.pipelines.RFRegressionPipeline generated/methods/evalml.pipelines.RFRegressionPipeline.__init__ generated/methods/evalml.pipelines.RFRegressionPipeline.describe generated/methods/evalml.pipelines.RFRegressionPipeline.feature_importance_graph generated/methods/evalml.pipelines.RFRegressionPipeline.fit generated/methods/evalml.pipelines.RFRegressionPipeline.get_component generated/methods/evalml.pipelines.RFRegressionPipeline.graph generated/methods/evalml.pipelines.RFRegressionPipeline.predict generated/methods/evalml.pipelines.RFRegressionPipeline.predict_proba generated/methods/evalml.pipelines.RFRegressionPipeline.score generated/evalml.pipelines.LinearRegressionPipeline generated/methods/evalml.pipelines.LinearRegressionPipeline.__init__ generated/methods/evalml.pipelines.LinearRegressionPipeline.describe generated/methods/evalml.pipelines.LinearRegressionPipeline.feature_importance_graph generated/methods/evalml.pipelines.LinearRegressionPipeline.fit generated/methods/evalml.pipelines.LinearRegressionPipeline.get_component generated/methods/evalml.pipelines.LinearRegressionPipeline.graph generated/methods/evalml.pipelines.LinearRegressionPipeline.predict generated/methods/evalml.pipelines.LinearRegressionPipeline.predict_proba generated/methods/evalml.pipelines.LinearRegressionPipeline.score generated/evalml.pipelines.PipelineBase.graph generated/evalml.pipelines.PipelineBase.feature_importance_graph generated/evalml.objectives.FraudCost generated/methods/evalml.objectives.FraudCost.__init__ generated/methods/evalml.objectives.FraudCost.decision_function generated/methods/evalml.objectives.FraudCost.fit generated/methods/evalml.objectives.FraudCost.objective_function generated/methods/evalml.objectives.FraudCost.predict generated/methods/evalml.objectives.FraudCost.score generated/methods/evalml.objectives.FraudCost.supports_problem_type generated/evalml.objectives.LeadScoring generated/methods/evalml.objectives.LeadScoring.__init__ generated/methods/evalml.objectives.LeadScoring.decision_function generated/methods/evalml.objectives.LeadScoring.fit generated/methods/evalml.objectives.LeadScoring.objective_function generated/methods/evalml.objectives.LeadScoring.predict generated/methods/evalml.objectives.LeadScoring.score generated/methods/evalml.objectives.LeadScoring.supports_problem_type generated/evalml.objectives.F1 generated/methods/evalml.objectives.F1.__init__ generated/methods/evalml.objectives.F1.fit generated/methods/evalml.objectives.F1.predict generated/methods/evalml.objectives.F1.score generated/methods/evalml.objectives.F1.supports_problem_type generated/evalml.objectives.F1Micro generated/methods/evalml.objectives.F1Micro.__init__ generated/methods/evalml.objectives.F1Micro.fit generated/methods/evalml.objectives.F1Micro.predict generated/methods/evalml.objectives.F1Micro.score generated/methods/evalml.objectives.F1Micro.supports_problem_type generated/evalml.objectives.F1Macro generated/methods/evalml.objectives.F1Macro.__init__ generated/methods/evalml.objectives.F1Macro.fit generated/methods/evalml.objectives.F1Macro.predict generated/methods/evalml.objectives.F1Macro.score generated/methods/evalml.objectives.F1Macro.supports_problem_type generated/evalml.objectives.F1Weighted generated/methods/evalml.objectives.F1Weighted.__init__ generated/methods/evalml.objectives.F1Weighted.fit generated/methods/evalml.objectives.F1Weighted.predict generated/methods/evalml.objectives.F1Weighted.score generated/methods/evalml.objectives.F1Weighted.supports_problem_type generated/evalml.objectives.Precision generated/methods/evalml.objectives.Precision.__init__ generated/methods/evalml.objectives.Precision.fit generated/methods/evalml.objectives.Precision.predict generated/methods/evalml.objectives.Precision.score generated/methods/evalml.objectives.Precision.supports_problem_type generated/evalml.objectives.PrecisionMicro generated/methods/evalml.objectives.PrecisionMicro.__init__ generated/methods/evalml.objectives.PrecisionMicro.fit generated/methods/evalml.objectives.PrecisionMicro.predict generated/methods/evalml.objectives.PrecisionMicro.score generated/methods/evalml.objectives.PrecisionMicro.supports_problem_type generated/evalml.objectives.PrecisionMacro generated/methods/evalml.objectives.PrecisionMacro.__init__ generated/methods/evalml.objectives.PrecisionMacro.fit generated/methods/evalml.objectives.PrecisionMacro.predict generated/methods/evalml.objectives.PrecisionMacro.score generated/methods/evalml.objectives.PrecisionMacro.supports_problem_type generated/evalml.objectives.PrecisionWeighted generated/methods/evalml.objectives.PrecisionWeighted.__init__ generated/methods/evalml.objectives.PrecisionWeighted.fit generated/methods/evalml.objectives.PrecisionWeighted.predict generated/methods/evalml.objectives.PrecisionWeighted.score generated/methods/evalml.objectives.PrecisionWeighted.supports_problem_type generated/evalml.objectives.Recall generated/methods/evalml.objectives.Recall.__init__ generated/methods/evalml.objectives.Recall.fit generated/methods/evalml.objectives.Recall.predict generated/methods/evalml.objectives.Recall.score generated/methods/evalml.objectives.Recall.supports_problem_type generated/evalml.objectives.RecallMicro generated/methods/evalml.objectives.RecallMicro.__init__ generated/methods/evalml.objectives.RecallMicro.fit generated/methods/evalml.objectives.RecallMicro.predict generated/methods/evalml.objectives.RecallMicro.score generated/methods/evalml.objectives.RecallMicro.supports_problem_type generated/evalml.objectives.RecallMacro generated/methods/evalml.objectives.RecallMacro.__init__ generated/methods/evalml.objectives.RecallMacro.fit generated/methods/evalml.objectives.RecallMacro.predict generated/methods/evalml.objectives.RecallMacro.score generated/methods/evalml.objectives.RecallMacro.supports_problem_type generated/evalml.objectives.RecallWeighted generated/methods/evalml.objectives.RecallWeighted.__init__ generated/methods/evalml.objectives.RecallWeighted.fit generated/methods/evalml.objectives.RecallWeighted.predict generated/methods/evalml.objectives.RecallWeighted.score generated/methods/evalml.objectives.RecallWeighted.supports_problem_type generated/evalml.objectives.AUC generated/methods/evalml.objectives.AUC.__init__ generated/methods/evalml.objectives.AUC.fit generated/methods/evalml.objectives.AUC.predict generated/methods/evalml.objectives.AUC.score generated/methods/evalml.objectives.AUC.supports_problem_type generated/evalml.objectives.AUCMicro generated/methods/evalml.objectives.AUCMicro.__init__ generated/methods/evalml.objectives.AUCMicro.fit generated/methods/evalml.objectives.AUCMicro.predict generated/methods/evalml.objectives.AUCMicro.score generated/methods/evalml.objectives.AUCMicro.supports_problem_type generated/evalml.objectives.AUCMacro generated/methods/evalml.objectives.AUCMacro.__init__ generated/methods/evalml.objectives.AUCMacro.fit generated/methods/evalml.objectives.AUCMacro.predict generated/methods/evalml.objectives.AUCMacro.score generated/methods/evalml.objectives.AUCMacro.supports_problem_type generated/evalml.objectives.AUCWeighted generated/methods/evalml.objectives.AUCWeighted.__init__ generated/methods/evalml.objectives.AUCWeighted.fit generated/methods/evalml.objectives.AUCWeighted.predict generated/methods/evalml.objectives.AUCWeighted.score generated/methods/evalml.objectives.AUCWeighted.supports_problem_type generated/evalml.objectives.LogLoss generated/methods/evalml.objectives.LogLoss.__init__ generated/methods/evalml.objectives.LogLoss.fit generated/methods/evalml.objectives.LogLoss.predict generated/methods/evalml.objectives.LogLoss.score generated/methods/evalml.objectives.LogLoss.supports_problem_type generated/evalml.objectives.MCC generated/methods/evalml.objectives.MCC.__init__ generated/methods/evalml.objectives.MCC.fit generated/methods/evalml.objectives.MCC.predict generated/methods/evalml.objectives.MCC.score generated/methods/evalml.objectives.MCC.supports_problem_type generated/evalml.objectives.ROC generated/methods/evalml.objectives.ROC.__init__ generated/methods/evalml.objectives.ROC.fit generated/methods/evalml.objectives.ROC.predict generated/methods/evalml.objectives.ROC.score generated/methods/evalml.objectives.ROC.supports_problem_type generated/evalml.objectives.ConfusionMatrix generated/methods/evalml.objectives.ConfusionMatrix.__init__ generated/methods/evalml.objectives.ConfusionMatrix.fit generated/methods/evalml.objectives.ConfusionMatrix.predict generated/methods/evalml.objectives.ConfusionMatrix.score generated/methods/evalml.objectives.ConfusionMatrix.supports_problem_type generated/evalml.objectives.R2 generated/methods/evalml.objectives.R2.__init__ generated/methods/evalml.objectives.R2.fit generated/methods/evalml.objectives.R2.predict generated/methods/evalml.objectives.R2.score generated/methods/evalml.objectives.R2.supports_problem_type generated/evalml.objectives.MAE generated/methods/evalml.objectives.MAE.__init__ generated/methods/evalml.objectives.MAE.fit generated/methods/evalml.objectives.MAE.predict generated/methods/evalml.objectives.MAE.score generated/methods/evalml.objectives.MAE.supports_problem_type generated/evalml.objectives.MSE generated/methods/evalml.objectives.MSE.__init__ generated/methods/evalml.objectives.MSE.fit generated/methods/evalml.objectives.MSE.predict generated/methods/evalml.objectives.MSE.score generated/methods/evalml.objectives.MSE.supports_problem_type generated/evalml.objectives.MSLE generated/methods/evalml.objectives.MSLE.__init__ generated/methods/evalml.objectives.MSLE.fit generated/methods/evalml.objectives.MSLE.predict generated/methods/evalml.objectives.MSLE.score generated/methods/evalml.objectives.MSLE.supports_problem_type generated/evalml.objectives.MedianAE generated/methods/evalml.objectives.MedianAE.__init__ generated/methods/evalml.objectives.MedianAE.fit generated/methods/evalml.objectives.MedianAE.predict generated/methods/evalml.objectives.MedianAE.score generated/methods/evalml.objectives.MedianAE.supports_problem_type generated/evalml.objectives.MaxError generated/methods/evalml.objectives.MaxError.__init__ generated/methods/evalml.objectives.MaxError.fit generated/methods/evalml.objectives.MaxError.predict generated/methods/evalml.objectives.MaxError.score generated/methods/evalml.objectives.MaxError.supports_problem_type generated/evalml.objectives.ExpVariance generated/methods/evalml.objectives.ExpVariance.__init__ generated/methods/evalml.objectives.ExpVariance.fit generated/methods/evalml.objectives.ExpVariance.predict generated/methods/evalml.objectives.ExpVariance.score generated/methods/evalml.objectives.ExpVariance.supports_problem_type generated/evalml.problem_types.ProblemTypes generated/evalml.problem_types.handle_problem_types generated/evalml.tuners.Tuner generated/methods/evalml.tuners.Tuner.__init__ generated/methods/evalml.tuners.Tuner.add generated/methods/evalml.tuners.Tuner.propose generated/evalml.tuners.SKOptTuner generated/methods/evalml.tuners.SKOptTuner.__init__ generated/methods/evalml.tuners.SKOptTuner.add generated/methods/evalml.tuners.SKOptTuner.propose generated/evalml.guardrails.detect_highly_null generated/evalml.guardrails.detect_label_leakage generated/evalml.guardrails.detect_outliers generated/evalml.guardrails.detect_id_columns faq done writing... WARNING: toctree contains reference to nonexisting document 'generated/AutoClassificationSearch.plot.normalize_confusion_matrix' done writing additional files... done copying images... [ 33%] images/evalml_logo.png copying images... [ 66%] _build/doctrees-readthedocssinglehtmllocalmedia/nbsphinx/index_21_0.svg copying images... [100%] pipelines/../_build/doctrees-readthedocssinglehtmllocalmedia/nbsphinx/pipelines_overview_3_0.svg copying static files... done copying readthedocs static files... done copying extra files... done dumping object inventory... done build succeeded, 8 warnings. The HTML page is in _build/localmedia.