Read the Docs build information
Build id: 383203
Project: feature-labs-inc-evalml
Version: latest
Commit: 8ad3fcfc2ff42d8f8d92726dfe96def42cfb0317
Date: 2020-07-31T15:38:19.547964Z
State: finished
Success: True


[rtd-command-info] start-time: 2020-07-31T15:38:21.300564Z, end-time: 2020-07-31T15:38:22.710543Z, duration: 1, exit-code: 0
git clone --no-single-branch --depth 50 git@github.com:FeatureLabs/evalml.git .
Cloning into '.'...
Warning: Permanently added 'github.com,192.30.255.113' (RSA) to the list of known hosts.

[rtd-command-info] start-time: 2020-07-31T15:38:23.220927Z, end-time: 2020-07-31T15:38:23.340170Z, duration: 0, exit-code: 0
git checkout --force origin/main
Note: checking out 'origin/main'.

You are in 'detached HEAD' state. You can look around, make experimental
changes and commit them, and you can discard any commits you make in this
state without impacting any branches by performing another checkout.

If you want to create a new branch to retain commits you create, you may
do so (now or later) by using -b with the checkout command again. Example:

  git checkout -b <new-branch-name>

HEAD is now at 8ad3fcfc Update expected pyzmq version (#1001)

[rtd-command-info] start-time: 2020-07-31T15:38:23.522705Z, end-time: 2020-07-31T15:38:23.579786Z, duration: 0, exit-code: 0
git clean -d -f -f


[rtd-command-info] start-time: 2020-07-31T15:38:24.716014Z, end-time: 2020-07-31T15:38:28.680650Z, duration: 3, 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: 2020-07-31T15:38:28.994840Z, end-time: 2020-07-31T15:38:29.677679Z, duration: 0, exit-code: 0
python -m pip install --upgrade --no-cache-dir pip
Requirement already up-to-date: pip in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (20.2)

[rtd-command-info] start-time: 2020-07-31T15:38:29.820782Z, end-time: 2020-07-31T15:38:38.056547Z, duration: 8, exit-code: 0
python -m pip install --upgrade --no-cache-dir 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
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Successfully built mock future
Installing collected packages: Pygments, setuptools, docutils, mock, pillow, alabaster, future, commonmark, pytz, babel, sphinxcontrib-websupport, six, MarkupSafe, Jinja2, idna, chardet, urllib3, certifi, requests, pyparsing, packaging, snowballstemmer, imagesize, sphinx, recommonmark, sphinx-rtd-theme, readthedocs-sphinx-ext
  Attempting uninstall: setuptools
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Successfully installed Jinja2-2.11.2 MarkupSafe-1.1.1 Pygments-2.3.1 alabaster-0.7.12 babel-2.8.0 certifi-2020.6.20 chardet-3.0.4 commonmark-0.8.1 docutils-0.14 future-0.18.2 idna-2.10 imagesize-1.2.0 mock-1.0.1 packaging-20.4 pillow-5.4.1 pyparsing-2.4.7 pytz-2020.1 readthedocs-sphinx-ext-1.0.4 recommonmark-0.5.0 requests-2.24.0 setuptools-41.0.1 six-1.15.0 snowballstemmer-2.0.0 sphinx-1.8.5 sphinx-rtd-theme-0.4.3 sphinxcontrib-websupport-1.2.3 urllib3-1.25.10

[rtd-command-info] start-time: 2020-07-31T15:38:38.437665Z, end-time: 2020-07-31T15:39:32.021722Z, duration: 53, exit-code: 0
python -m pip install --upgrade --upgrade-strategy eager --no-cache-dir .
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[rtd-command-info] start-time: 2020-07-31T15:39:32.551205Z, end-time: 2020-07-31T15:40:11.431770Z, duration: 38, exit-code: 0
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Successfully built codecov autopep8 nltk toolz absl-py wrapt termcolor locket
Installing collected packages: more-itertools, atomicwrites, py, pluggy, pytest, pytest-forked, apipkg, execnet, pytest-xdist, coverage, pytest-cov, nbval, codecov, patsy, statsmodels, category-encoders, toolz, tblib, heapdict, zict, msgpack, sortedcontainers, fsspec, locket, partd, dask, distributed, tensorflow-estimator, absl-py, astunparse, opt-einsum, wrapt, h5py, grpcio, oauthlib, requests-oauthlib, pyasn1, rsa, cachetools, pyasn1-modules, google-auth, google-auth-oauthlib, markdown, tensorboard-plugin-wit, protobuf, werkzeug, tensorboard, termcolor, gast, keras-preprocessing, google-pasta, tensorflow, tensorflow-hub, regex, nltk, nlp-primitives, featuretools, pycodestyle, pyflakes, mccabe, flake8, autopep8, isort, nbconvert, sphinxcontrib-jsmath, sphinxcontrib-applehelp, sphinxcontrib-devhelp, sphinxcontrib-qthelp, sphinxcontrib-htmlhelp, sphinxcontrib-serializinghtml, Sphinx, nbsphinx, pydata-sphinx-theme
  Attempting uninstall: nbconvert
    Found existing installation: nbconvert 5.6.1
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      Successfully uninstalled nbconvert-5.6.1
  Attempting uninstall: Sphinx
    Found existing installation: Sphinx 1.8.5
    Uninstalling Sphinx-1.8.5:
      Successfully uninstalled Sphinx-1.8.5
ERROR: After October 2020 you may experience errors when installing or updating packages. This is because pip will change the way that it resolves dependency conflicts.

We recommend you use --use-feature=2020-resolver to test your packages with the new resolver before it becomes the default.

tensorflow 2.3.0 requires numpy<1.19.0,>=1.16.0, but you'll have numpy 1.19.1 which is incompatible.
Successfully installed Sphinx-2.0.1 absl-py-0.9.0 apipkg-1.5 astunparse-1.6.3 atomicwrites-1.4.0 autopep8-1.4.3 cachetools-4.1.1 category-encoders-2.2.2 codecov-2.1.0 coverage-5.2.1 dask-2.21.0 distributed-2.21.0 execnet-1.7.1 featuretools-0.17.0 flake8-3.7.0 fsspec-0.7.4 gast-0.3.3 google-auth-1.20.0 google-auth-oauthlib-0.4.1 google-pasta-0.2.0 grpcio-1.30.0 h5py-2.10.0 heapdict-1.0.1 isort-4.3.4 keras-preprocessing-1.1.2 locket-0.2.0 markdown-3.2.2 mccabe-0.6.1 more-itertools-8.4.0 msgpack-1.0.0 nbconvert-5.5.0 nbsphinx-0.4.2 nbval-0.9.3 nlp-primitives-0.3.1 nltk-3.5 oauthlib-3.1.0 opt-einsum-3.3.0 partd-1.1.0 patsy-0.5.1 pluggy-0.13.1 protobuf-3.12.4 py-1.9.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycodestyle-2.5.0 pydata-sphinx-theme-0.3.1 pyflakes-2.1.1 pytest-4.4.1 pytest-cov-2.6.1 pytest-forked-1.3.0 pytest-xdist-1.26.1 regex-2020.7.14 requests-oauthlib-1.3.0 rsa-4.6 sortedcontainers-2.2.2 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 statsmodels-0.11.1 tblib-1.7.0 tensorboard-2.3.0 tensorboard-plugin-wit-1.7.0 tensorflow-2.3.0 tensorflow-estimator-2.3.0 tensorflow-hub-0.8.0 termcolor-1.1.0 toolz-0.10.0 werkzeug-1.0.1 wrapt-1.12.1 zict-2.0.0

[rtd-command-info] start-time: 2020-07-31T15:40:35.654910Z, end-time: 2020-07-31T15:40:35.731321Z, 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, Alteryx, Inc.'
author = 'Alteryx Innovation Labs'

# The short X.Y version
version = evalml.__version__
# The full version, including alpha/beta/rc tags
release = evalml.__version__


# -- General configuration ---------------------------------------------------

# If your documentation needs a minimal Sphinx version, state it here.
#
# needs_sphinx = '1.0'

# Add any Sphinx extension module names here, as strings. They can be
# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom
# ones.
extensions = [
    'nbsphinx',
    'sphinx.ext.autodoc',
    'sphinx.ext.autosummary',
    'sphinx.ext.napoleon',
    'sphinx.ext.viewcode',
    'sphinx.ext.extlinks',
    'sphinx.ext.graphviz',
    'sphinx.ext.inheritance_diagram'
]

# Add any paths that contain templates here, relative to this directory.
templates_path = ['_templates']

# The suffix(es) of source filenames.
# You can specify multiple suffix as a list of string:
#
# source_suffix = ['.rst', '.md']
source_suffix = '.rst'

# The main toctree document.
master_doc = 'index'

# The language for content autogenerated by Sphinx. Refer to documentation
# for a list of supported languages.
#
# This is also used if you do content translation via gettext catalogs.
# Usually you set "language" from the command line for these cases.
language = None

# List of patterns, relative to source directory, that match files and
# directories to ignore when looking for source files.
# This pattern also affects html_static_path and html_extra_path.
exclude_patterns = ['**.ipynb_checkpoints']

# The name of the Pygments (syntax highlighting) style to use.
pygments_style = None


# -- Options for HTML output -------------------------------------------------

# The theme to use for HTML and HTML Help pages.  See the documentation for
# a list of builtin themes.
#
html_theme = "pydata_sphinx_theme"

# Theme options are theme-specific and customize the look and feel of a theme
# further.  For a list of options available for each theme, see the
# documentation.
#
# html_theme_options = {}

# The name of an image file (relative to this directory) to place at the top
# of the sidebar.
html_logo = "images/evalml_horizontal.svg"

# The name of an image file (relative to this directory) to use as a favicon of
# the docs.  This file should be a Windows icon file (.ico) being 16x16 or 32x32
# pixels large.
html_favicon = "images/favicon.ico"

# Add any paths that contain custom static files (such as style sheets) here,
# relative to this directory. They are copied after the builtin static files,
# so a file named "default.css" will overwrite the builtin "default.css".
html_static_path = ['_static']

# Custom sidebar templates, must be a dictionary that maps document names
# to template names.
#
# The default sidebars (for documents that don't match any pattern) are
# defined by theme itself.  Builtin themes are using these templates by
# default: ``['localtoc.html', 'relations.html', 'sourcelink.html',
# 'searchbox.html']``.
#
# html_sidebars = {}


# -- Options for HTMLHelp output ---------------------------------------------

# Output file base name for HTML help builder.
htmlhelp_basename = 'EvalMLdoc'


# -- Options for LaTeX output ------------------------------------------------

latex_elements = {
    # The paper size ('letterpaper' or 'a4paper').
    #
    # 'papersize': 'letterpaper',

    # The font size ('10pt', '11pt' or '12pt').
    #
    # 'pointsize': '10pt',

    # Additional stuff for the LaTeX preamble.
    #
    # 'preamble': '',

    # Latex figure (float) alignment
    #
    # 'figure_align': 'htbp',
}

# Grouping the document tree into LaTeX files. List of tuples
# (source start file, target name, title,
#  author, documentclass [howto, manual, or own class]).
latex_documents = [
    (master_doc, 'EvalML.tex', 'EvalML Documentation',
     author, 'manual'),
]


# -- Options for manual page output ------------------------------------------

# One entry per manual page. List of tuples
# (source start file, name, description, authors, manual section).
man_pages = [
    (master_doc, 'evalml', 'EvalML Documentation',
     [author], 1)
]


# -- Options for Texinfo output ----------------------------------------------

# Grouping the document tree into Texinfo files. List of tuples
# (source start file, target name, title, author,
#  dir menu entry, description, category)
texinfo_documents = [
    (master_doc, 'EvalML', 'EvalML Documentation',
     author, 'EvalML', 'One line description of project.',
     'Miscellaneous'),
]


# -- Options for Epub output -------------------------------------------------

# Bibliographic Dublin Core info.
epub_title = project

# The unique identifier of the text. This can be a ISBN number
# or the project homepage.
#
# epub_identifier = ''

# A unique identification for the text.
#
# epub_uid = ''

# A list of files that should not be packed into the epub file.
epub_exclude_files = ['search.html']


# -- Extension configuration -------------------------------------------------

# If evalml is open-sourced: replace github specific style.css
extlinks = {
    'issue': ('https://github.com/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

inheritance_graph_attrs = dict(rankdir="LR", size='"1000, 333"',
                               fontsize=30, labelfontsize=30, ratio='compress', dpi=960)

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://assets.readthedocs.com/'


#Add project information to the template context.
context = {
    'using_theme': using_rtd_theme,
    'html_theme': html_theme,
    'current_version': "latest",
    'version_slug': "latest",
    'MEDIA_URL': "https://media.readthedocs.com/media/",
    'STATIC_URL': "https://assets.readthedocs.com/",
    'PRODUCTION_DOMAIN': "readthedocs.com",
    'versions': [
    ],
    'downloads': [ 
    ],
    'subprojects': [ 
    ],
    'slug': 'feature-labs-inc-evalml',
    'name': u'EvalML',
    'rtd_language': u'en',
    'programming_language': u'words',
    'canonical_url': 'https://evalml.alteryx.com/en/stable/',
    'analytics_code': 'UA-64679566-12',
    'single_version': False,
    'conf_py_path': '/docs/source/',
    'api_host': 'https://readthedocs.com',
    'github_user': 'FeatureLabs',
    'proxied_api_host': '/_',
    'github_repo': 'evalml',
    'github_version': 'main',
    'display_github': True,
    'bitbucket_user': 'None',
    'bitbucket_repo': 'None',
    'bitbucket_version': 'main',
    'display_bitbucket': False,
    'gitlab_user': 'None',
    'gitlab_repo': 'None',
    'gitlab_version': 'main',
    'display_gitlab': False,
    'READTHEDOCS': True,
    'using_theme': (html_theme == "default"),
    'new_theme': (html_theme == "sphinx_rtd_theme"),
    'source_suffix': SUFFIX,
    'ad_free': False,
    'docsearch_disabled': False,
    'user_analytics_code': 'UA-64679566-12',
    'global_analytics_code': 'UA-17997319-2',
    'commit': '8ad3fcfc',
}




if 'html_context' in globals():
    
    html_context.update(context)
    
else:
    html_context = context

# Add custom RTD extension
if 'extensions' in globals():
    # Insert at the beginning because it can interfere
    # with other extensions.
    # See https://github.com/rtfd/readthedocs.org/pull/4054
    extensions.insert(0, "readthedocs_ext.readthedocs")
else:
    extensions = ["readthedocs_ext.readthedocs"]

# Add External version warning banner to the external version documentation
if 'branch' == 'external':
    extensions.insert(1, "readthedocs_ext.external_version_warning")

project_language = 'en'

# User's Sphinx configurations
language_user = globals().get('language', None)
latex_engine_user = globals().get('latex_engine', None)
latex_elements_user = globals().get('latex_elements', None)

# Remove this once xindy gets installed in Docker image and XINDYOPS
# env variable is supported
# https://github.com/rtfd/readthedocs-docker-images/pull/98
latex_use_xindy = False

chinese = any([
    language_user in ('zh_CN', 'zh_TW'),
    project_language in ('zh_CN', 'zh_TW'),
])

japanese = any([
    language_user == 'ja',
    project_language == 'ja',
])

if chinese:
    latex_engine = latex_engine_user or 'xelatex'

    latex_elements_rtd = {
        'preamble': '\\usepackage[UTF8]{ctex}\n',
    }
    latex_elements = latex_elements_user or latex_elements_rtd
elif japanese:
    latex_engine = latex_engine_user or 'platex'

# Make sure our build directory is always excluded
exclude_patterns = globals().get('exclude_patterns', [])
exclude_patterns.extend(['_build'])

[rtd-command-info] start-time: 2020-07-31T15:40:35.932232Z, end-time: 2020-07-31T15:44:44.215930Z, duration: 248, exit-code: 0
python sphinx-build -T -E -W --keep-going -b readthedocs -d _build/doctrees-readthedocs -D language=en . _build/html
Running Sphinx v2.0.1
2020-07-31 15:40:37,934 featuretools - WARNING    Featuretools failed to load plugin nlp_primitives from library nlp_primitives. For a full stack trace, set logging to debug.
2020-07-31 15:40:38.205548: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcudart.so.10.1'; dlerror: libcudart.so.10.1: cannot open shared object file: No such file or directory
2020-07-31 15:40:38.205589: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
loading translations [en]... done
making output directory... done
[autosummary] generating autosummary for: api_reference.rst
Matplotlib is building the font cache; this may take a moment.
[autosummary] generating autosummary for: /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.AutoMLSearch.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.automl_algorithm.AutoMLAlgorithm.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.automl_algorithm.IterativeAlgorithm.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.data_checks.DataCheck.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.data_checks.DataCheckError.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.data_checks.DataCheckMessage.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.data_checks.DataCheckMessageType.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.data_checks.DataCheckWarning.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.data_checks.DataChecks.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.data_checks.DefaultDataChecks.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.GridSearchTuner.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.tuners.RandomSearchTuner.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.tuners.SKOptTuner.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.tuners.Tuner.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.convert_to_seconds.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.get_random_seed.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.get_random_state.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.import_or_raise.rst
[autosummary] generating autosummary for: /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.add_to_rankings.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.describe_pipeline.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.get_pipeline.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.load.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.save.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.search.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.add_result.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.next_batch.rst, ..., /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.RandomSearchTuner.is_search_space_exhausted.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.RandomSearchTuner.propose.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.SKOptTuner.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.SKOptTuner.add.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.SKOptTuner.is_search_space_exhausted.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.SKOptTuner.propose.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.Tuner.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.Tuner.add.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.Tuner.is_search_space_exhausted.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.Tuner.propose.rst
building [mo]: targets for 0 po files that are out of date
building [readthedocs]: targets for 17 source files that are out of date
updating environment: 637 added, 0 changed, 0 removed
reading sources... [  0%] api_reference
reading sources... [  0%] demos/fraud
2020-07-31 15:41:16.044544: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcudart.so.10.1'; dlerror: libcudart.so.10.1: cannot open shared object file: No such file or directory
2020-07-31 15:41:16.044591: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
reading sources... [  0%] demos/lead_scoring
2020-07-31 15:41:37.137311: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcudart.so.10.1'; dlerror: libcudart.so.10.1: cannot open shared object file: No such file or directory
2020-07-31 15:41:37.137357: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
reading sources... [  0%] generated/evalml.automl.AutoMLSearch
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reading sources... [  1%] generated/evalml.data_checks.DataCheck
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reading sources... [  3%] generated/evalml.demos.load_breast_cancer
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reading sources... [  3%] generated/evalml.demos.load_wine
reading sources... [  3%] generated/evalml.model_family.ModelFamily
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2020-07-31 15:42:09.364423: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcudart.so.10.1'; dlerror: libcudart.so.10.1: cannot open shared object file: No such file or directory
2020-07-31 15:42:09.364467: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
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2020-07-31 15:42:21.778702: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcudart.so.10.1'; dlerror: libcudart.so.10.1: cannot open shared object file: No such file or directory
2020-07-31 15:42:21.778751: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
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2020-07-31 15:42:30.460021: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcudart.so.10.1'; dlerror: libcudart.so.10.1: cannot open shared object file: No such file or directory
2020-07-31 15:42:30.460070: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
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2020-07-31 15:42:35.762619: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcudart.so.10.1'; dlerror: libcudart.so.10.1: cannot open shared object file: No such file or directory
2020-07-31 15:42:35.762681: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
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2020-07-31 15:42:41.590816: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcudart.so.10.1'; dlerror: libcudart.so.10.1: cannot open shared object file: No such file or directory
2020-07-31 15:42:41.590860: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
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2020-07-31 15:43:20.712816: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcudart.so.10.1'; dlerror: libcudart.so.10.1: cannot open shared object file: No such file or directory
2020-07-31 15:43:20.712862: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
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2020-07-31 15:43:25.109382: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcudart.so.10.1'; dlerror: libcudart.so.10.1: cannot open shared object file: No such file or directory
2020-07-31 15:43:25.109425: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
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generating indices... genindex
highlighting module code... [  1%] evalml.automl.automl_algorithm.automl_algorithm
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[rtd-command-info] start-time: 2020-07-31T15:44:44.776566Z, end-time: 2020-07-31T15:47:05.167887Z, duration: 140, exit-code: 0
python sphinx-build -b latex -D language=en -d _build/doctrees . _build/latex
Running Sphinx v2.0.1
2020-07-31 15:44:46,513 featuretools - WARNING    Featuretools failed to load plugin nlp_primitives from library nlp_primitives. For a full stack trace, set logging to debug.
2020-07-31 15:44:46.774288: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcudart.so.10.1'; dlerror: libcudart.so.10.1: cannot open shared object file: No such file or directory
2020-07-31 15:44:46.774335: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
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[autosummary] generating autosummary for: api_reference.rst
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2020-07-31 15:45:37.730865: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcudart.so.10.1'; dlerror: libcudart.so.10.1: cannot open shared object file: No such file or directory
2020-07-31 15:45:37.730909: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
reading sources... [ 98%] tutorials
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2020-07-31 15:45:48.747887: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcudart.so.10.1'; dlerror: libcudart.so.10.1: cannot open shared object file: No such file or directory
2020-07-31 15:45:48.747927: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
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2020-07-31 15:45:57.128097: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcudart.so.10.1'; dlerror: libcudart.so.10.1: cannot open shared object file: No such file or directory
2020-07-31 15:45:57.128140: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
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2020-07-31 15:46:02.427015: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcudart.so.10.1'; dlerror: libcudart.so.10.1: cannot open shared object file: No such file or directory
2020-07-31 15:46:02.427098: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
reading sources... [ 99%] user_guide/faq
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2020-07-31 15:46:08.183954: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcudart.so.10.1'; dlerror: libcudart.so.10.1: cannot open shared object file: No such file or directory
2020-07-31 15:46:08.183999: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
reading sources... [ 99%] user_guide/objectives
2020-07-31 15:46:47.243288: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcudart.so.10.1'; dlerror: libcudart.so.10.1: cannot open shared object file: No such file or directory
2020-07-31 15:46:47.243330: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
reading sources... [ 99%] user_guide/pipelines
2020-07-31 15:46:51.658472: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcudart.so.10.1'; dlerror: libcudart.so.10.1: cannot open shared object file: No such file or directory
2020-07-31 15:46:51.658516: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
reading sources... [100%] user_guide/utilities

looking for now-outdated files... none found
pickling environment... done
checking consistency... done
processing EvalML.tex... index install start tutorials demos/fraud demos/lead_scoring user_guide user_guide/automl user_guide/objectives user_guide/components user_guide/pipelines user_guide/model_understanding user_guide/data_checks user_guide/utilities user_guide/faq api_reference generated/evalml.demos.load_fraud generated/evalml.demos.load_wine generated/evalml.demos.load_breast_cancer generated/evalml.demos.load_diabetes generated/evalml.preprocessing.drop_nan_target_rows generated/evalml.preprocessing.label_distribution generated/evalml.preprocessing.load_data generated/evalml.preprocessing.number_of_features generated/evalml.preprocessing.split_data generated/evalml.automl.AutoMLSearch generated/methods/evalml.automl.AutoMLSearch.__init__ generated/methods/evalml.automl.AutoMLSearch.add_to_rankings generated/methods/evalml.automl.AutoMLSearch.describe_pipeline generated/methods/evalml.automl.AutoMLSearch.get_pipeline generated/methods/evalml.automl.AutoMLSearch.load generated/methods/evalml.automl.AutoMLSearch.save generated/methods/evalml.automl.AutoMLSearch.search generated/evalml.automl.automl_algorithm.AutoMLAlgorithm generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.__init__ generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.add_result generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.next_batch generated/evalml.automl.automl_algorithm.IterativeAlgorithm generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.__init__ generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.add_result generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.next_batch generated/evalml.pipelines.PipelineBase generated/methods/evalml.pipelines.PipelineBase.__init__ generated/methods/evalml.pipelines.PipelineBase.clone generated/methods/evalml.pipelines.PipelineBase.describe generated/methods/evalml.pipelines.PipelineBase.fit generated/methods/evalml.pipelines.PipelineBase.get_component generated/methods/evalml.pipelines.PipelineBase.graph generated/methods/evalml.pipelines.PipelineBase.graph_feature_importance generated/methods/evalml.pipelines.PipelineBase.load generated/methods/evalml.pipelines.PipelineBase.predict generated/methods/evalml.pipelines.PipelineBase.save generated/methods/evalml.pipelines.PipelineBase.score generated/evalml.pipelines.ClassificationPipeline generated/methods/evalml.pipelines.ClassificationPipeline.__init__ generated/methods/evalml.pipelines.ClassificationPipeline.clone generated/methods/evalml.pipelines.ClassificationPipeline.describe generated/methods/evalml.pipelines.ClassificationPipeline.fit generated/methods/evalml.pipelines.ClassificationPipeline.get_component generated/methods/evalml.pipelines.ClassificationPipeline.graph generated/methods/evalml.pipelines.ClassificationPipeline.graph_feature_importance generated/methods/evalml.pipelines.ClassificationPipeline.load generated/methods/evalml.pipelines.ClassificationPipeline.predict generated/methods/evalml.pipelines.ClassificationPipeline.predict_proba generated/methods/evalml.pipelines.ClassificationPipeline.save generated/methods/evalml.pipelines.ClassificationPipeline.score generated/evalml.pipelines.BinaryClassificationPipeline generated/methods/evalml.pipelines.BinaryClassificationPipeline.__init__ generated/methods/evalml.pipelines.BinaryClassificationPipeline.clone generated/methods/evalml.pipelines.BinaryClassificationPipeline.describe generated/methods/evalml.pipelines.BinaryClassificationPipeline.fit generated/methods/evalml.pipelines.BinaryClassificationPipeline.get_component generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph_feature_importance generated/methods/evalml.pipelines.BinaryClassificationPipeline.load generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict_proba generated/methods/evalml.pipelines.BinaryClassificationPipeline.save generated/methods/evalml.pipelines.BinaryClassificationPipeline.score generated/evalml.pipelines.MulticlassClassificationPipeline generated/methods/evalml.pipelines.MulticlassClassificationPipeline.__init__ generated/methods/evalml.pipelines.MulticlassClassificationPipeline.clone generated/methods/evalml.pipelines.MulticlassClassificationPipeline.describe generated/methods/evalml.pipelines.MulticlassClassificationPipeline.fit generated/methods/evalml.pipelines.MulticlassClassificationPipeline.get_component generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph_feature_importance generated/methods/evalml.pipelines.MulticlassClassificationPipeline.load generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict_proba generated/methods/evalml.pipelines.MulticlassClassificationPipeline.save generated/methods/evalml.pipelines.MulticlassClassificationPipeline.score generated/evalml.pipelines.RegressionPipeline generated/methods/evalml.pipelines.RegressionPipeline.__init__ generated/methods/evalml.pipelines.RegressionPipeline.clone generated/methods/evalml.pipelines.RegressionPipeline.describe generated/methods/evalml.pipelines.RegressionPipeline.fit generated/methods/evalml.pipelines.RegressionPipeline.get_component generated/methods/evalml.pipelines.RegressionPipeline.graph generated/methods/evalml.pipelines.RegressionPipeline.graph_feature_importance generated/methods/evalml.pipelines.RegressionPipeline.load generated/methods/evalml.pipelines.RegressionPipeline.predict generated/methods/evalml.pipelines.RegressionPipeline.save generated/methods/evalml.pipelines.RegressionPipeline.score generated/evalml.pipelines.BaselineBinaryPipeline generated/methods/evalml.pipelines.BaselineBinaryPipeline.__init__ generated/methods/evalml.pipelines.BaselineBinaryPipeline.clone generated/methods/evalml.pipelines.BaselineBinaryPipeline.describe generated/methods/evalml.pipelines.BaselineBinaryPipeline.fit generated/methods/evalml.pipelines.BaselineBinaryPipeline.get_component generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph_feature_importance generated/methods/evalml.pipelines.BaselineBinaryPipeline.load generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict_proba generated/methods/evalml.pipelines.BaselineBinaryPipeline.save generated/methods/evalml.pipelines.BaselineBinaryPipeline.score generated/evalml.pipelines.BaselineMulticlassPipeline generated/methods/evalml.pipelines.BaselineMulticlassPipeline.__init__ generated/methods/evalml.pipelines.BaselineMulticlassPipeline.clone generated/methods/evalml.pipelines.BaselineMulticlassPipeline.describe generated/methods/evalml.pipelines.BaselineMulticlassPipeline.fit generated/methods/evalml.pipelines.BaselineMulticlassPipeline.get_component generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph_feature_importance generated/methods/evalml.pipelines.BaselineMulticlassPipeline.load generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict_proba generated/methods/evalml.pipelines.BaselineMulticlassPipeline.save generated/methods/evalml.pipelines.BaselineMulticlassPipeline.score generated/evalml.pipelines.ModeBaselineBinaryPipeline generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.__init__ generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.clone generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.describe generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.fit generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.get_component generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph_feature_importance generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.load generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict_proba generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.save generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.score generated/evalml.pipelines.ModeBaselineMulticlassPipeline generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.__init__ generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.clone generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.describe generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.fit generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.get_component generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph_feature_importance generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.load generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict_proba generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.save generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.score generated/evalml.pipelines.BaselineRegressionPipeline generated/methods/evalml.pipelines.BaselineRegressionPipeline.__init__ generated/methods/evalml.pipelines.BaselineRegressionPipeline.clone generated/methods/evalml.pipelines.BaselineRegressionPipeline.describe generated/methods/evalml.pipelines.BaselineRegressionPipeline.fit generated/methods/evalml.pipelines.BaselineRegressionPipeline.get_component generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph_feature_importance generated/methods/evalml.pipelines.BaselineRegressionPipeline.load generated/methods/evalml.pipelines.BaselineRegressionPipeline.predict generated/methods/evalml.pipelines.BaselineRegressionPipeline.save generated/methods/evalml.pipelines.BaselineRegressionPipeline.score generated/evalml.pipelines.MeanBaselineRegressionPipeline generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.__init__ generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.clone generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.describe generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.fit generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.get_component generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph_feature_importance generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.load generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.predict generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.save generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.score generated/evalml.pipelines.precision_recall_curve generated/evalml.pipelines.graph_precision_recall_curve generated/evalml.pipelines.roc_curve generated/evalml.pipelines.graph_roc_curve generated/evalml.pipelines.confusion_matrix generated/evalml.pipelines.normalize_confusion_matrix generated/evalml.pipelines.graph_confusion_matrix generated/evalml.pipelines.calculate_permutation_importance generated/evalml.pipelines.graph_permutation_importance generated/evalml.pipelines.utils.make_pipeline generated/evalml.pipelines.components.ComponentBase generated/methods/evalml.pipelines.components.ComponentBase.__init__ generated/methods/evalml.pipelines.components.ComponentBase.clone generated/methods/evalml.pipelines.components.ComponentBase.describe generated/methods/evalml.pipelines.components.ComponentBase.fit generated/evalml.pipelines.components.Transformer generated/methods/evalml.pipelines.components.Transformer.__init__ generated/methods/evalml.pipelines.components.Transformer.clone generated/methods/evalml.pipelines.components.Transformer.describe generated/methods/evalml.pipelines.components.Transformer.fit generated/methods/evalml.pipelines.components.Transformer.fit_transform generated/methods/evalml.pipelines.components.Transformer.transform generated/evalml.pipelines.components.Estimator generated/methods/evalml.pipelines.components.Estimator.__init__ generated/methods/evalml.pipelines.components.Estimator.clone generated/methods/evalml.pipelines.components.Estimator.describe generated/methods/evalml.pipelines.components.Estimator.fit generated/methods/evalml.pipelines.components.Estimator.predict generated/methods/evalml.pipelines.components.Estimator.predict_proba generated/evalml.pipelines.components.utils.allowed_model_families generated/evalml.pipelines.components.utils.get_estimators generated/evalml.pipelines.components.DropColumns generated/methods/evalml.pipelines.components.DropColumns.__init__ generated/methods/evalml.pipelines.components.DropColumns.clone generated/methods/evalml.pipelines.components.DropColumns.describe generated/methods/evalml.pipelines.components.DropColumns.fit generated/methods/evalml.pipelines.components.DropColumns.fit_transform generated/methods/evalml.pipelines.components.DropColumns.transform generated/evalml.pipelines.components.SelectColumns generated/methods/evalml.pipelines.components.SelectColumns.__init__ generated/methods/evalml.pipelines.components.SelectColumns.clone generated/methods/evalml.pipelines.components.SelectColumns.describe generated/methods/evalml.pipelines.components.SelectColumns.fit generated/methods/evalml.pipelines.components.SelectColumns.fit_transform generated/methods/evalml.pipelines.components.SelectColumns.transform generated/evalml.pipelines.components.OneHotEncoder generated/methods/evalml.pipelines.components.OneHotEncoder.__init__ generated/methods/evalml.pipelines.components.OneHotEncoder.clone generated/methods/evalml.pipelines.components.OneHotEncoder.describe generated/methods/evalml.pipelines.components.OneHotEncoder.fit generated/methods/evalml.pipelines.components.OneHotEncoder.fit_transform generated/methods/evalml.pipelines.components.OneHotEncoder.get_feature_names generated/methods/evalml.pipelines.components.OneHotEncoder.transform generated/evalml.pipelines.components.PerColumnImputer generated/methods/evalml.pipelines.components.PerColumnImputer.__init__ generated/methods/evalml.pipelines.components.PerColumnImputer.clone generated/methods/evalml.pipelines.components.PerColumnImputer.describe generated/methods/evalml.pipelines.components.PerColumnImputer.fit generated/methods/evalml.pipelines.components.PerColumnImputer.fit_transform generated/methods/evalml.pipelines.components.PerColumnImputer.transform generated/evalml.pipelines.components.SimpleImputer generated/methods/evalml.pipelines.components.SimpleImputer.__init__ generated/methods/evalml.pipelines.components.SimpleImputer.clone generated/methods/evalml.pipelines.components.SimpleImputer.describe generated/methods/evalml.pipelines.components.SimpleImputer.fit generated/methods/evalml.pipelines.components.SimpleImputer.fit_transform generated/methods/evalml.pipelines.components.SimpleImputer.transform generated/evalml.pipelines.components.StandardScaler generated/methods/evalml.pipelines.components.StandardScaler.__init__ generated/methods/evalml.pipelines.components.StandardScaler.clone generated/methods/evalml.pipelines.components.StandardScaler.describe generated/methods/evalml.pipelines.components.StandardScaler.fit generated/methods/evalml.pipelines.components.StandardScaler.fit_transform generated/methods/evalml.pipelines.components.StandardScaler.transform generated/evalml.pipelines.components.RFRegressorSelectFromModel generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.__init__ generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.clone generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.describe generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit_transform generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.get_names generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.transform generated/evalml.pipelines.components.RFClassifierSelectFromModel generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.__init__ generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.clone generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.describe generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit_transform generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.get_names generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.transform generated/evalml.pipelines.components.DropNullColumns generated/methods/evalml.pipelines.components.DropNullColumns.__init__ generated/methods/evalml.pipelines.components.DropNullColumns.clone generated/methods/evalml.pipelines.components.DropNullColumns.describe generated/methods/evalml.pipelines.components.DropNullColumns.fit 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generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict_proba generated/evalml.pipelines.components.ExtraTreesClassifier generated/methods/evalml.pipelines.components.ExtraTreesClassifier.__init__ generated/methods/evalml.pipelines.components.ExtraTreesClassifier.clone generated/methods/evalml.pipelines.components.ExtraTreesClassifier.describe generated/methods/evalml.pipelines.components.ExtraTreesClassifier.fit generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict_proba generated/evalml.pipelines.components.RandomForestClassifier generated/methods/evalml.pipelines.components.RandomForestClassifier.__init__ generated/methods/evalml.pipelines.components.RandomForestClassifier.clone generated/methods/evalml.pipelines.components.RandomForestClassifier.describe 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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.BaselineClassifier generated/methods/evalml.pipelines.components.BaselineClassifier.__init__ generated/methods/evalml.pipelines.components.BaselineClassifier.clone generated/methods/evalml.pipelines.components.BaselineClassifier.describe generated/methods/evalml.pipelines.components.BaselineClassifier.fit generated/methods/evalml.pipelines.components.BaselineClassifier.predict generated/methods/evalml.pipelines.components.BaselineClassifier.predict_proba generated/evalml.pipelines.components.CatBoostRegressor generated/methods/evalml.pipelines.components.CatBoostRegressor.__init__ generated/methods/evalml.pipelines.components.CatBoostRegressor.clone generated/methods/evalml.pipelines.components.CatBoostRegressor.describe generated/methods/evalml.pipelines.components.CatBoostRegressor.fit generated/methods/evalml.pipelines.components.CatBoostRegressor.predict generated/methods/evalml.pipelines.components.CatBoostRegressor.predict_proba generated/evalml.pipelines.components.ElasticNetRegressor generated/methods/evalml.pipelines.components.ElasticNetRegressor.__init__ generated/methods/evalml.pipelines.components.ElasticNetRegressor.clone generated/methods/evalml.pipelines.components.ElasticNetRegressor.describe generated/methods/evalml.pipelines.components.ElasticNetRegressor.fit generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict_proba generated/evalml.pipelines.components.LinearRegressor generated/methods/evalml.pipelines.components.LinearRegressor.__init__ generated/methods/evalml.pipelines.components.LinearRegressor.clone generated/methods/evalml.pipelines.components.LinearRegressor.describe generated/methods/evalml.pipelines.components.LinearRegressor.fit generated/methods/evalml.pipelines.components.LinearRegressor.predict generated/methods/evalml.pipelines.components.LinearRegressor.predict_proba generated/evalml.pipelines.components.ExtraTreesRegressor generated/methods/evalml.pipelines.components.ExtraTreesRegressor.__init__ generated/methods/evalml.pipelines.components.ExtraTreesRegressor.clone generated/methods/evalml.pipelines.components.ExtraTreesRegressor.describe generated/methods/evalml.pipelines.components.ExtraTreesRegressor.fit generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict_proba generated/evalml.pipelines.components.RandomForestRegressor generated/methods/evalml.pipelines.components.RandomForestRegressor.__init__ generated/methods/evalml.pipelines.components.RandomForestRegressor.clone generated/methods/evalml.pipelines.components.RandomForestRegressor.describe generated/methods/evalml.pipelines.components.RandomForestRegressor.fit generated/methods/evalml.pipelines.components.RandomForestRegressor.predict generated/methods/evalml.pipelines.components.RandomForestRegressor.predict_proba generated/evalml.pipelines.components.XGBoostRegressor generated/methods/evalml.pipelines.components.XGBoostRegressor.__init__ generated/methods/evalml.pipelines.components.XGBoostRegressor.clone generated/methods/evalml.pipelines.components.XGBoostRegressor.describe generated/methods/evalml.pipelines.components.XGBoostRegressor.fit generated/methods/evalml.pipelines.components.XGBoostRegressor.predict generated/methods/evalml.pipelines.components.XGBoostRegressor.predict_proba generated/evalml.pipelines.components.BaselineRegressor generated/methods/evalml.pipelines.components.BaselineRegressor.__init__ generated/methods/evalml.pipelines.components.BaselineRegressor.clone generated/methods/evalml.pipelines.components.BaselineRegressor.describe generated/methods/evalml.pipelines.components.BaselineRegressor.fit generated/methods/evalml.pipelines.components.BaselineRegressor.predict generated/methods/evalml.pipelines.components.BaselineRegressor.predict_proba generated/evalml.pipelines.prediction_explanations.explain_prediction generated/evalml.objectives.ObjectiveBase generated/methods/evalml.objectives.ObjectiveBase.objective_function generated/methods/evalml.objectives.ObjectiveBase.score generated/methods/evalml.objectives.ObjectiveBase.validate_inputs generated/evalml.objectives.BinaryClassificationObjective generated/methods/evalml.objectives.BinaryClassificationObjective.decision_function generated/methods/evalml.objectives.BinaryClassificationObjective.objective_function generated/methods/evalml.objectives.BinaryClassificationObjective.optimize_threshold generated/methods/evalml.objectives.BinaryClassificationObjective.score generated/methods/evalml.objectives.BinaryClassificationObjective.validate_inputs generated/evalml.objectives.MulticlassClassificationObjective generated/methods/evalml.objectives.MulticlassClassificationObjective.objective_function generated/methods/evalml.objectives.MulticlassClassificationObjective.score generated/methods/evalml.objectives.MulticlassClassificationObjective.validate_inputs generated/evalml.objectives.RegressionObjective generated/methods/evalml.objectives.RegressionObjective.objective_function generated/methods/evalml.objectives.RegressionObjective.score generated/methods/evalml.objectives.RegressionObjective.validate_inputs generated/evalml.objectives.FraudCost generated/methods/evalml.objectives.FraudCost.__init__ generated/methods/evalml.objectives.FraudCost.decision_function generated/methods/evalml.objectives.FraudCost.objective_function generated/methods/evalml.objectives.FraudCost.optimize_threshold generated/methods/evalml.objectives.FraudCost.score generated/methods/evalml.objectives.FraudCost.validate_inputs generated/evalml.objectives.LeadScoring generated/methods/evalml.objectives.LeadScoring.__init__ generated/methods/evalml.objectives.LeadScoring.decision_function generated/methods/evalml.objectives.LeadScoring.objective_function generated/methods/evalml.objectives.LeadScoring.optimize_threshold generated/methods/evalml.objectives.LeadScoring.score generated/methods/evalml.objectives.LeadScoring.validate_inputs generated/evalml.objectives.AccuracyBinary generated/methods/evalml.objectives.AccuracyBinary.decision_function generated/methods/evalml.objectives.AccuracyBinary.objective_function generated/methods/evalml.objectives.AccuracyBinary.optimize_threshold generated/methods/evalml.objectives.AccuracyBinary.score generated/methods/evalml.objectives.AccuracyBinary.validate_inputs generated/evalml.objectives.AccuracyMulticlass generated/methods/evalml.objectives.AccuracyMulticlass.objective_function generated/methods/evalml.objectives.AccuracyMulticlass.score generated/methods/evalml.objectives.AccuracyMulticlass.validate_inputs generated/evalml.objectives.AUC generated/methods/evalml.objectives.AUC.decision_function generated/methods/evalml.objectives.AUC.objective_function generated/methods/evalml.objectives.AUC.optimize_threshold generated/methods/evalml.objectives.AUC.score generated/methods/evalml.objectives.AUC.validate_inputs generated/evalml.objectives.AUCMacro generated/methods/evalml.objectives.AUCMacro.objective_function generated/methods/evalml.objectives.AUCMacro.score generated/methods/evalml.objectives.AUCMacro.validate_inputs generated/evalml.objectives.AUCMicro generated/methods/evalml.objectives.AUCMicro.objective_function generated/methods/evalml.objectives.AUCMicro.score generated/methods/evalml.objectives.AUCMicro.validate_inputs generated/evalml.objectives.AUCWeighted generated/methods/evalml.objectives.AUCWeighted.objective_function generated/methods/evalml.objectives.AUCWeighted.score generated/methods/evalml.objectives.AUCWeighted.validate_inputs generated/evalml.objectives.BalancedAccuracyBinary generated/methods/evalml.objectives.BalancedAccuracyBinary.decision_function generated/methods/evalml.objectives.BalancedAccuracyBinary.objective_function generated/methods/evalml.objectives.BalancedAccuracyBinary.optimize_threshold generated/methods/evalml.objectives.BalancedAccuracyBinary.score generated/methods/evalml.objectives.BalancedAccuracyBinary.validate_inputs generated/evalml.objectives.BalancedAccuracyMulticlass generated/methods/evalml.objectives.BalancedAccuracyMulticlass.objective_function generated/methods/evalml.objectives.BalancedAccuracyMulticlass.score generated/methods/evalml.objectives.BalancedAccuracyMulticlass.validate_inputs generated/evalml.objectives.F1 generated/methods/evalml.objectives.F1.decision_function generated/methods/evalml.objectives.F1.objective_function generated/methods/evalml.objectives.F1.optimize_threshold generated/methods/evalml.objectives.F1.score generated/methods/evalml.objectives.F1.validate_inputs generated/evalml.objectives.F1Micro generated/methods/evalml.objectives.F1Micro.objective_function generated/methods/evalml.objectives.F1Micro.score generated/methods/evalml.objectives.F1Micro.validate_inputs generated/evalml.objectives.F1Macro generated/methods/evalml.objectives.F1Macro.objective_function generated/methods/evalml.objectives.F1Macro.score generated/methods/evalml.objectives.F1Macro.validate_inputs generated/evalml.objectives.F1Weighted generated/methods/evalml.objectives.F1Weighted.objective_function generated/methods/evalml.objectives.F1Weighted.score generated/methods/evalml.objectives.F1Weighted.validate_inputs generated/evalml.objectives.LogLossBinary generated/methods/evalml.objectives.LogLossBinary.decision_function generated/methods/evalml.objectives.LogLossBinary.objective_function 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generated/methods/evalml.data_checks.IDColumnsDataCheck.__init__ generated/methods/evalml.data_checks.IDColumnsDataCheck.validate generated/evalml.data_checks.LabelLeakageDataCheck generated/methods/evalml.data_checks.LabelLeakageDataCheck.__init__ generated/methods/evalml.data_checks.LabelLeakageDataCheck.validate generated/evalml.data_checks.OutliersDataCheck generated/methods/evalml.data_checks.OutliersDataCheck.__init__ generated/methods/evalml.data_checks.OutliersDataCheck.validate generated/evalml.data_checks.NoVarianceDataCheck generated/methods/evalml.data_checks.NoVarianceDataCheck.__init__ generated/methods/evalml.data_checks.NoVarianceDataCheck.validate generated/evalml.data_checks.DataChecks generated/methods/evalml.data_checks.DataChecks.__init__ generated/methods/evalml.data_checks.DataChecks.validate generated/evalml.data_checks.DefaultDataChecks generated/methods/evalml.data_checks.DefaultDataChecks.__init__ 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$makeindex = 'makeindex -s python.ist %O -o %D %S';
add_cus_dep( "glo", "gls", 0, "makeglo" );
sub makeglo {
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}

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Chapter 1.
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Chapter 2.

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Chapter 3.
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Chapter 4.
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Chapter 5.

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Chapter 6.

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Chapter 4.
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Chapter 6.

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Chapter 1.
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Chapter 2.
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Chapter 3.
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Chapter 4.
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[]\T1/ptm/m/n/10 EvalML de-fines a base ob-jec-tive class for each prob-lem typ
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[]\T1/ptm/m/n/10 Here's an ex-am-ple of us-ing the \TS1/pcr/m/n/10 `\T1/pcr/m/n
/10 LogisticRegressionClassifier \T1/ptm/m/n/10 <../gen-er-
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\T1/ptm/m/n/10 EvalML pro-vides two data checks to check for ab-nor-mal data: \
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Chapter 5.
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Chapter 6.

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