Read the Docs build information
Build id: 684764
Project: feature-labs-inc-evalml
Version: main
Commit: 10a804796fcee50466da7945d3a83c7f9c8aa4ad
Date: 2021-07-26T16:56:50.308531Z
State: finished
Success: True


[rtd-command-info] start-time: 2021-07-26T16:57:46.081911Z, end-time: 2021-07-26T16:57:51.144036Z, duration: 5, exit-code: 0
git clone --no-single-branch --depth 50 https://github.com/alteryx/evalml.git .
Cloning into '.'...

[rtd-command-info] start-time: 2021-07-26T16:57:51.308760Z, end-time: 2021-07-26T16:57:51.478575Z, 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 10a80479 Rename `ComponentGraph`'s `get_parents` to `get_inputs` (#2540)

[rtd-command-info] start-time: 2021-07-26T16:57:51.630510Z, end-time: 2021-07-26T16:57:51.701152Z, duration: 0, exit-code: 0
git clean -d -f -f


[rtd-command-info] start-time: 2021-07-26T16:57:52.729982Z, end-time: 2021-07-26T16:58:06.553423Z, duration: 13, exit-code: 0
python3.8 -mvirtualenv 
Using base prefix '/home/docs/.pyenv/versions/3.8.6'
New python executable in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/bin/python3.8
Also creating executable in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/bin/python
Installing setuptools, pip, wheel...
done.

[rtd-command-info] start-time: 2021-07-26T16:58:06.658202Z, end-time: 2021-07-26T16:58:07.980590Z, duration: 1, exit-code: 0
python -m pip install --upgrade --no-cache-dir pip setuptools
Requirement already satisfied: pip in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (21.2.1)
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[rtd-command-info] start-time: 2021-07-26T16:58:08.084218Z, end-time: 2021-07-26T16:58:34.774751Z, duration: 26, exit-code: 0
python -m pip install --upgrade --no-cache-dir mock==1.0.1 pillow==5.4.1 alabaster>=0.7,<0.8,!=0.7.5 commonmark==0.8.1 recommonmark==0.5.0 sphinx<2 sphinx-rtd-theme<0.5 readthedocs-sphinx-ext<2.2
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Building wheels for collected packages: mock, pillow, future
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Successfully built mock pillow future
Installing collected packages: urllib3, sphinxcontrib-serializinghtml, pytz, pyparsing, MarkupSafe, idna, charset-normalizer, certifi, sphinxcontrib-websupport, snowballstemmer, six, requests, Pygments, packaging, Jinja2, imagesize, future, docutils, babel, alabaster, sphinx, commonmark, sphinx-rtd-theme, recommonmark, readthedocs-sphinx-ext, pillow, mock
Successfully installed Jinja2-3.0.1 MarkupSafe-2.0.1 Pygments-2.9.0 alabaster-0.7.12 babel-2.9.1 certifi-2021.5.30 charset-normalizer-2.0.3 commonmark-0.8.1 docutils-0.17.1 future-0.18.2 idna-3.2 imagesize-1.2.0 mock-1.0.1 packaging-21.0 pillow-5.4.1 pyparsing-2.4.7 pytz-2021.1 readthedocs-sphinx-ext-2.1.4 recommonmark-0.5.0 requests-2.26.0 six-1.16.0 snowballstemmer-2.1.0 sphinx-1.8.5 sphinx-rtd-theme-0.4.3 sphinxcontrib-serializinghtml-1.1.5 sphinxcontrib-websupport-1.2.4 urllib3-1.26.6

[rtd-command-info] start-time: 2021-07-26T16:58:34.888619Z, end-time: 2021-07-26T16:58:35.562426Z, duration: 0, exit-code: 0
python -m pip install --exists-action=w --no-cache-dir -r docs/readthedocs-requirements.txt
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[rtd-command-info] start-time: 2021-07-26T16:58:35.702658Z, end-time: 2021-07-26T17:00:04.773217Z, duration: 89, exit-code: 0
python -m pip install --upgrade --upgrade-strategy eager --no-cache-dir .
Processing /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main
  DEPRECATION: A future pip version will change local packages to be built in-place without first copying to a temporary directory. We recommend you use --use-feature=in-tree-build to test your packages with this new behavior before it becomes the default.
   pip 21.3 will remove support for this functionality. You can find discussion regarding this at https://github.com/pypa/pip/issues/7555.
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Building wheels for collected packages: evalml, requirements-parser, shap, pandocfilters
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Successfully built evalml requirements-parser shap pandocfilters
Installing collected packages: ipython-genutils, traitlets, pyrsistent, attrs, wcwidth, tornado, pyzmq, python-dateutil, ptyprocess, parso, jupyter-core, jsonschema, webencodings, toolz, pycparser, prompt-toolkit, pickleshare, pexpect, nest-asyncio, nbformat, matplotlib-inline, locket, jupyter-client, jedi, decorator, backcall, async-generator, testpath, pyyaml, partd, pandocfilters, numpy, nbclient, mistune, jupyterlab-pygments, ipython, heapdict, fsspec, entrypoints, defusedxml, debugpy, cloudpickle, cffi, bleach, zict, terminado, tblib, sortedcontainers, Send2Trash, psutil, prometheus-client, pandas, nbconvert, msgpack, ipykernel, dask, click, argon2-cffi, tqdm, threadpoolctl, tenacity, scipy, regex, pillow, patsy, notebook, llvmlite, kiwisolver, joblib, distributed, cycler, widgetsnbextension, statsmodels, slicer, scikit-learn, pyaml, plotly, numba, nltk, matplotlib, jupyterlab-widgets, graphviz, featuretools, Cython, xgboost, woodwork, texttable, sktime, shap, seaborn, scikit-optimize, requirements-parser, pmdarima, nlp-primitives, networkx, lightgbm, kaleido, ipywidgets, imbalanced-learn, colorama, category-encoders, catboost, evalml
  Attempting uninstall: pillow
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    Uninstalling Pillow-5.4.1:
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Successfully installed Cython-0.29.17 Send2Trash-1.7.1 argon2-cffi-20.1.0 async-generator-1.10 attrs-21.2.0 backcall-0.2.0 bleach-3.3.1 catboost-0.26 category-encoders-2.2.2 cffi-1.14.6 click-8.0.1 cloudpickle-1.6.0 colorama-0.4.4 cycler-0.10.0 dask-2021.7.1 debugpy-1.4.1 decorator-4.4.2 defusedxml-0.7.1 distributed-2021.7.1 entrypoints-0.3 evalml-0.29.0 featuretools-0.26.1 fsspec-2021.7.0 graphviz-0.17 heapdict-1.0.1 imbalanced-learn-0.8.0 ipykernel-6.0.3 ipython-7.25.0 ipython-genutils-0.2.0 ipywidgets-7.6.3 jedi-0.18.0 joblib-1.0.1 jsonschema-3.2.0 jupyter-client-6.1.12 jupyter-core-4.7.1 jupyterlab-pygments-0.1.2 jupyterlab-widgets-1.0.0 kaleido-0.2.1 kiwisolver-1.3.1 lightgbm-3.2.1 llvmlite-0.36.0 locket-0.2.1 matplotlib-3.4.2 matplotlib-inline-0.1.2 mistune-0.8.4 msgpack-1.0.2 nbclient-0.5.3 nbconvert-6.1.0 nbformat-5.1.3 nest-asyncio-1.5.1 networkx-2.5.1 nlp-primitives-1.1.0 nltk-3.6.2 notebook-6.4.0 numba-0.53.1 numpy-1.21.1 pandas-1.3.1 pandocfilters-1.4.3 parso-0.8.2 partd-1.2.0 patsy-0.5.1 pexpect-4.8.0 pickleshare-0.7.5 pillow-8.3.1 plotly-5.1.0 pmdarima-1.8.0 prometheus-client-0.11.0 prompt-toolkit-3.0.19 psutil-5.8.0 ptyprocess-0.7.0 pyaml-20.4.0 pycparser-2.20 pyrsistent-0.18.0 python-dateutil-2.8.2 pyyaml-5.4.1 pyzmq-22.1.0 regex-2021.7.6 requirements-parser-0.2.0 scikit-learn-0.24.2 scikit-optimize-0.8.1 scipy-1.7.0 seaborn-0.11.1 shap-0.39.0 sktime-0.7.0 slicer-0.0.7 sortedcontainers-2.4.0 statsmodels-0.12.2 tblib-1.7.0 tenacity-8.0.1 terminado-0.10.1 testpath-0.5.0 texttable-1.6.4 threadpoolctl-2.2.0 toolz-0.11.1 tornado-6.1 tqdm-4.61.2 traitlets-5.0.5 wcwidth-0.2.5 webencodings-0.5.1 widgetsnbextension-3.5.1 woodwork-0.5.0 xgboost-1.4.2 zict-2.0.0

[rtd-command-info] start-time: 2021-07-26T17:00:04.922167Z, end-time: 2021-07-26T17:00:20.326277Z, duration: 15, exit-code: 0
python -m pip install --exists-action=w --no-cache-dir -r docs-requirements.txt
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Building wheels for collected packages: wrapt
  Building wheel for wrapt (setup.py): started
  Building wheel for wrapt (setup.py): finished with status 'done'
  Created wheel for wrapt: filename=wrapt-1.12.1-cp38-cp38-linux_x86_64.whl size=78114 sha256=b8289a3b742a08e6d39fa1720d3d54d6d161b7e368eb3ab31ff6dc69d1270eff
  Stored in directory: /tmp/pip-ephem-wheel-cache-ffvacg3z/wheels/5f/fd/9e/b6cf5890494cb8ef0b5eaff72e5d55a70fb56316007d6dfe73
Successfully built wrapt
Installing collected packages: wrapt, sphinxcontrib-qthelp, sphinxcontrib-jsmath, sphinxcontrib-htmlhelp, sphinxcontrib-devhelp, sphinxcontrib-applehelp, soupsieve, lazy-object-proxy, docutils, unidecode, Sphinx, beautifulsoup4, astroid, sphinx-autoapi, pydata-sphinx-theme, nbsphinx
  Attempting uninstall: docutils
    Found existing installation: docutils 0.17.1
    Uninstalling docutils-0.17.1:
      Successfully uninstalled docutils-0.17.1
  Attempting uninstall: Sphinx
    Found existing installation: Sphinx 1.8.5
    Uninstalling Sphinx-1.8.5:
      Successfully uninstalled Sphinx-1.8.5
Successfully installed Sphinx-3.5.4 astroid-2.6.5 beautifulsoup4-4.9.3 docutils-0.16 lazy-object-proxy-1.6.0 nbsphinx-0.8.6 pydata-sphinx-theme-0.6.3 soupsieve-2.2.1 sphinx-autoapi-1.8.1 sphinxcontrib-applehelp-1.0.2 sphinxcontrib-devhelp-1.0.2 sphinxcontrib-htmlhelp-2.0.0 sphinxcontrib-jsmath-1.0.1 sphinxcontrib-qthelp-1.0.3 unidecode-1.2.0 wrapt-1.12.1

[rtd-command-info] start-time: 2021-07-26T17:00:22.920862Z, end-time: 2021-07-26T17:00:22.989585Z, 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
import shutil
from pathlib import Path
from sphinx.ext.autodoc import Documenter, MethodDocumenter


from sphinx.ext.autodoc import MethodDocumenter, Documenter

path = os.path.join("..", "..")
sys.path.insert(0, os.path.abspath(path))


# -- Project information -----------------------------------------------------

project = "EvalML"
copyright = "2020, Alteryx, Inc."
author = "Alteryx, Inc."

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


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

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

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

autoapi_dirs = ['../../evalml']
autoapi_ignore = ["*/evalml/tests/*"]
autoapi_options = ['members', 'undoc-members', 'show-module-summary', 'imported-members', 'inherited-members']
autoapi_add_toctree_entry = False
autoapi_template_dir = "_auto_api_templates"

# The suffix(es) of source filenames.
# You can specify multiple suffix as a list of string:
#
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", "_templates", "_auto_api_templates"]

suppress_warnings = ["autoapi"]


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


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

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

# Theme options are theme-specific and customize the look and feel of a theme
# further.  For a list of options available for each theme, see the
# documentation.
#
html_theme_options = {
    "github_url": "https://github.com/alteryx/evalml",
    "twitter_url": "https://twitter.com/AlteryxOSS",
    "collapse_navigation": False,
    "navigation_depth": 2,
}

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

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

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

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


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

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


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

latex_elements = {
    # The paper size ('letterpaper' or 'a4paper').
    #
    # 'papersize': 'letterpaper',
    # The font size ('10pt', '11pt' or '12pt').
    #
    # 'pointsize': '10pt',
    # Additional stuff for the LaTeX preamble.
    #
    # 'preamble': '',
    # Latex figure (float) alignment
    #
    # 'figure_align': 'htbp',
}

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


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

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


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

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

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

# Bibliographic Dublin Core info.
epub_title = project

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

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

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


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

# If evalml is open-sourced: replace github specific style.css
extlinks = {
    "issue": ("https://github.com/alteryx/evalml/issues/%s", "#"),
    "pr": ("https://github.com/alteryx/evalml/pull/%s", "#"),
    "user": ("https://github.com/%s", "@"),
}

html_show_sphinx = False
nbsphinx_execute = "always"
nbsphinx_timeout = (
    600  # sphinx defaults each cell to 30 seconds so we need to override here
)

inheritance_graph_attrs = dict(rankdir="TB", dpi=192.0, ranksep=0.02)
inheritance_node_attrs = dict(fontsize=6, height=0.15, width=5, fixedsize=True)
inheritance_edge_attrs = dict(arrowsize=0.1)


class AccessorLevelDocumenter(Documenter):
    """
    Documenter subclass for objects on accessor level (methods, attributes).

    Referenced pandas-sphinx-theme (https://github.com/pandas-dev/pandas-sphinx-theme)
    and sphinx-doc (https://github.com/sphinx-doc/sphinx/blob/8c7faed6fcbc6b7d40f497698cb80fc10aee1ab3/sphinx/ext/autodoc/__init__.py#L846)
    """

    def resolve_name(self, modname, parents, path, base):
        modname = "evalml"
        mod_cls = path.rstrip(".")
        mod_cls = mod_cls.split(".")
        return modname, mod_cls + [base]


class AccessorCallableDocumenter(AccessorLevelDocumenter, MethodDocumenter):
    """
    This documenter lets us removes .__call__ from the method signature for
    callable accessors like Series.plot
    """

    objtype = "accessorcallable"
    directivetype = "method"

    # lower than MethodDocumenter; otherwise the doc build prints warnings
    priority = 0.5

    def format_name(self):
        return MethodDocumenter.format_name(self).rstrip(".__call__")


class AccessorMethodDocumenter(AccessorLevelDocumenter, MethodDocumenter):
    objtype = "accessormethod"
    directivetype = "method"

    # lower than MethodDocumenter so this is not chosen for normal methods
    priority = 0.6

from sphinx.domains.python import PythonDomain


class PatchedPythonDomain(PythonDomain):
    """To disable cross-reference warning: https://github.com/sphinx-doc/sphinx/issues/3866"""
    def resolve_xref(self, env, fromdocname, builder, typ, target, node, contnode):
        if 'refspecific' in node:
            del node['refspecific']
        return super(PatchedPythonDomain, self).resolve_xref(
            env, fromdocname, builder, typ, target, node, contnode)


def setup(app):
    p = Path("/home/docs/.ipython/profile_default/startup")
    p.mkdir(parents=True, exist_ok=True)
    shutil.copy("disable-warnings.py", "/home/docs/.ipython/profile_default/startup/")
    shutil.copy("set-headers.py", "/home/docs/.ipython/profile_default/startup")
    app.add_domain(PatchedPythonDomain, override=True)
    app.add_javascript(
       "https://cdnjs.cloudflare.com/ajax/libs/require.js/2.1.10/require.min.js"
    )
    app.add_stylesheet("style.css")
    app.add_autodocumenter(AccessorCallableDocumenter)
    app.add_autodocumenter(AccessorMethodDocumenter)




###########################################################################
#          auto-created readthedocs.org specific configuration            #
###########################################################################


#
# The following code was added during an automated build on readthedocs.org
# It is auto created and injected for every build. The result is based on the
# conf.py.tmpl file found in the readthedocs.org codebase:
# https://github.com/rtfd/readthedocs.org/blob/master/readthedocs/doc_builder/templates/doc_builder/conf.py.tmpl
#
# Note: this file should't rely on extra depencies.

import importlib
import sys
import os.path

# Borrowed from six.
PY3 = sys.version_info[0] == 3
string_types = str if PY3 else basestring

from sphinx import version_info

# Get suffix for proper linking to GitHub
# This is deprecated in Sphinx 1.3+,
# as each page can have its own suffix
if globals().get('source_suffix', False):
    if isinstance(source_suffix, string_types):
        SUFFIX = source_suffix
    elif isinstance(source_suffix, (list, tuple)):
        # Sphinx >= 1.3 supports list/tuple to define multiple suffixes
        SUFFIX = source_suffix[0]
    elif isinstance(source_suffix, dict):
        # Sphinx >= 1.8 supports a mapping dictionary for multiple suffixes
        SUFFIX = list(source_suffix.keys())[0]  # make a ``list()`` for py2/py3 compatibility
    else:
        # default to .rst
        SUFFIX = '.rst'
else:
    SUFFIX = '.rst'

# Add RTD Static Path. Add to the end because it overwrites previous files.
if not 'html_static_path' in globals():
    html_static_path = []
if os.path.exists('_static'):
    html_static_path.append('_static')

# Add RTD Theme only if they aren't overriding it already
using_rtd_theme = (
    (
        'html_theme' in globals() and
        html_theme in ['default'] and
        # Allow people to bail with a hack of having an html_style
        'html_style' not in globals()
    ) or 'html_theme' not in globals()
)
if using_rtd_theme:
    theme = importlib.import_module('sphinx_rtd_theme')
    html_theme = 'sphinx_rtd_theme'
    html_style = None
    html_theme_options = {}
    if 'html_theme_path' in globals():
        html_theme_path.append(theme.get_html_theme_path())
    else:
        html_theme_path = [theme.get_html_theme_path()]

if globals().get('websupport2_base_url', False):
    websupport2_base_url = 'https://readthedocs.com/websupport'
    websupport2_static_url = 'https://assets.readthedocs.com/'


#Add project information to the template context.
context = {
    'using_theme': using_rtd_theme,
    'html_theme': html_theme,
    'current_version': "main",
    'version_slug': "main",
    'MEDIA_URL': "https://media.readthedocs.com/media/",
    'STATIC_URL': "https://assets.readthedocs.com/",
    'PRODUCTION_DOMAIN': "readthedocs.com",
    'versions': [
    ("latest", "/en/latest/"),
    ("stable", "/en/stable/"),
    ("v0.29.0", "/en/v0.29.0/"),
    ("v0.28.0", "/en/v0.28.0/"),
    ("v0.27.0", "/en/v0.27.0/"),
    ("v0.25.0", "/en/v0.25.0/"),
    ("v0.24.2", "/en/v0.24.2/"),
    ("v0.24.1", "/en/v0.24.1/"),
    ("v0.24.0", "/en/v0.24.0/"),
    ("v0.23.0", "/en/v0.23.0/"),
    ("v0.22.0", "/en/v0.22.0/"),
    ("v0.22.0_a", "/en/v0.22.0_a/"),
    ("v0.21.0", "/en/v0.21.0/"),
    ("v0.20.0", "/en/v0.20.0/"),
    ("v0.19.0", "/en/v0.19.0/"),
    ("v0.18.2", "/en/v0.18.2/"),
    ("v0.18.1", "/en/v0.18.1/"),
    ("v0.18.0", "/en/v0.18.0/"),
    ("v0.17.0", "/en/v0.17.0/"),
    ("v0.16.1", "/en/v0.16.1/"),
    ("v0.16.0", "/en/v0.16.0/"),
    ("v0.15.0", "/en/v0.15.0/"),
    ("v0.14.1", "/en/v0.14.1/"),
    ("v0.13.2", "/en/v0.13.2/"),
    ("v0.13.1", "/en/v0.13.1/"),
    ("v0.12.2", "/en/v0.12.2/"),
    ("v0.12.0", "/en/v0.12.0/"),
    ("v0.11.2", "/en/v0.11.2/"),
    ("v0.11.0", "/en/v0.11.0/"),
    ("v0.10.0", "/en/v0.10.0/"),
    ("v0.9.0", "/en/v0.9.0/"),
    ("v0.8.0", "/en/v0.8.0/"),
    ("v0.7.0", "/en/v0.7.0/"),
    ("v0.6.0", "/en/v0.6.0/"),
    ("v0.5.2", "/en/v0.5.2/"),
    ("v0.5.1", "/en/v0.5.1/"),
    ("main", "/en/main/"),
    ],
    'downloads': [ 
    ("pdf", "//evalml.alteryx.com/_/downloads/en/main/pdf/"),
    ],
    'subprojects': [ 
    ],
    'slug': 'feature-labs-inc-evalml',
    'name': u'EvalML',
    'rtd_language': u'en',
    'programming_language': u'py',
    'canonical_url': 'https://evalml.alteryx.com/en/stable/',
    'analytics_code': 'UA-64679566-12',
    'single_version': False,
    'conf_py_path': '/docs/source/',
    'api_host': 'https://readthedocs.com',
    'github_user': 'alteryx',
    'proxied_api_host': '/_',
    'github_repo': 'evalml',
    'github_version': 'main',
    'display_github': True,
    'bitbucket_user': 'None',
    'bitbucket_repo': 'None',
    'bitbucket_version': 'main',
    'display_bitbucket': False,
    'gitlab_user': 'None',
    'gitlab_repo': 'None',
    'gitlab_version': 'main',
    'display_gitlab': False,
    'READTHEDOCS': True,
    'using_theme': (html_theme == "default"),
    'new_theme': (html_theme == "sphinx_rtd_theme"),
    'source_suffix': SUFFIX,
    'ad_free': False,
    'docsearch_disabled': False,
    'user_analytics_code': 'UA-64679566-12',
    'global_analytics_code': 'UA-17997319-2',
    'commit': '10a80479',
}

# For sphinx >=1.8 we can use html_baseurl to set the canonical URL.
# https://www.sphinx-doc.org/en/master/usage/configuration.html#confval-html_baseurl
if version_info >= (1, 8):
    if not globals().get('html_baseurl'):
        html_baseurl = context['canonical_url']
    context['canonical_url'] = None





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

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

# Add External version warning banner to the external version documentation
if 'branch' == 'external':
    extensions.insert(1, "readthedocs_ext.external_version_warning")
    readthedocs_vcs_url = 'None'
    readthedocs_build_url = 'https://readthedocs.com/projects/feature-labs-inc-evalml/builds/684764/'

project_language = 'en'

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

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

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

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

if chinese:
    latex_engine = latex_engine_user or 'xelatex'

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

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

[rtd-command-info] start-time: 2021-07-26T17:00:23.106388Z, end-time: 2021-07-26T17:09:08.193175Z, duration: 525, exit-code: 0
python -m sphinx -T -E -W --keep-going -b html -d _build/doctrees -D language=en . _build/html
Running Sphinx v3.5.4
Matplotlib is building the font cache; this may take a moment.
loading translations [en]... done
making output directory... done
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autoapi/evalml/data_checks/class_imbalance_data_check/index autoapi/evalml/data_checks/data_check/index autoapi/evalml/data_checks/data_check_action/index autoapi/evalml/data_checks/data_check_action_code/index autoapi/evalml/data_checks/data_check_message/index autoapi/evalml/data_checks/data_check_message_code/index autoapi/evalml/data_checks/data_check_message_type/index autoapi/evalml/data_checks/data_checks/index autoapi/evalml/data_checks/datetime_nan_data_check/index autoapi/evalml/data_checks/default_data_checks/index autoapi/evalml/data_checks/highly_null_data_check/index autoapi/evalml/data_checks/id_columns_data_check/index autoapi/evalml/data_checks/invalid_targets_data_check/index autoapi/evalml/data_checks/multicollinearity_data_check/index autoapi/evalml/data_checks/natural_language_nan_data_check/index autoapi/evalml/data_checks/no_variance_data_check/index autoapi/evalml/data_checks/outliers_data_check/index autoapi/evalml/data_checks/sparsity_data_check/index autoapi/evalml/data_checks/target_leakage_data_check/index autoapi/evalml/data_checks/uniqueness_data_check/index autoapi/evalml/data_checks/utils/index autoapi/evalml/demos/index autoapi/evalml/demos/breast_cancer/index autoapi/evalml/demos/churn/index autoapi/evalml/demos/diabetes/index autoapi/evalml/demos/fraud/index autoapi/evalml/demos/wine/index autoapi/evalml/exceptions/index autoapi/evalml/exceptions/exceptions/index autoapi/evalml/model_family/index autoapi/evalml/model_family/model_family/index autoapi/evalml/model_family/utils/index autoapi/evalml/model_understanding/index autoapi/evalml/model_understanding/prediction_explanations/index autoapi/evalml/model_understanding/prediction_explanations/explainers/index autoapi/evalml/model_understanding/force_plots/index autoapi/evalml/model_understanding/graphs/index autoapi/evalml/model_understanding/permutation_importance/index autoapi/evalml/objectives/index autoapi/evalml/objectives/binary_classification_objective/index autoapi/evalml/objectives/cost_benefit_matrix/index autoapi/evalml/objectives/fraud_cost/index autoapi/evalml/objectives/lead_scoring/index autoapi/evalml/objectives/multiclass_classification_objective/index autoapi/evalml/objectives/objective_base/index autoapi/evalml/objectives/regression_objective/index autoapi/evalml/objectives/sensitivity_low_alert/index autoapi/evalml/objectives/standard_metrics/index autoapi/evalml/objectives/time_series_regression_objective/index autoapi/evalml/objectives/utils/index autoapi/evalml/pipelines/index autoapi/evalml/pipelines/components/index autoapi/evalml/pipelines/components/ensemble/index autoapi/evalml/pipelines/components/ensemble/stacked_ensemble_base/index autoapi/evalml/pipelines/components/ensemble/stacked_ensemble_classifier/index autoapi/evalml/pipelines/components/ensemble/stacked_ensemble_regressor/index autoapi/evalml/pipelines/components/estimators/index autoapi/evalml/pipelines/components/estimators/classifiers/index autoapi/evalml/pipelines/components/estimators/classifiers/baseline_classifier/index autoapi/evalml/pipelines/components/estimators/classifiers/catboost_classifier/index autoapi/evalml/pipelines/components/estimators/classifiers/decision_tree_classifier/index autoapi/evalml/pipelines/components/estimators/classifiers/elasticnet_classifier/index autoapi/evalml/pipelines/components/estimators/classifiers/et_classifier/index autoapi/evalml/pipelines/components/estimators/classifiers/kneighbors_classifier/index autoapi/evalml/pipelines/components/estimators/classifiers/lightgbm_classifier/index autoapi/evalml/pipelines/components/estimators/classifiers/logistic_regression_classifier/index autoapi/evalml/pipelines/components/estimators/classifiers/rf_classifier/index autoapi/evalml/pipelines/components/estimators/classifiers/svm_classifier/index autoapi/evalml/pipelines/components/estimators/classifiers/xgboost_classifier/index autoapi/evalml/pipelines/components/estimators/regressors/index autoapi/evalml/pipelines/components/estimators/regressors/arima_regressor/index autoapi/evalml/pipelines/components/estimators/regressors/baseline_regressor/index autoapi/evalml/pipelines/components/estimators/regressors/catboost_regressor/index autoapi/evalml/pipelines/components/estimators/regressors/decision_tree_regressor/index autoapi/evalml/pipelines/components/estimators/regressors/elasticnet_regressor/index autoapi/evalml/pipelines/components/estimators/regressors/et_regressor/index autoapi/evalml/pipelines/components/estimators/regressors/lightgbm_regressor/index autoapi/evalml/pipelines/components/estimators/regressors/linear_regressor/index autoapi/evalml/pipelines/components/estimators/regressors/rf_regressor/index autoapi/evalml/pipelines/components/estimators/regressors/svm_regressor/index autoapi/evalml/pipelines/components/estimators/regressors/time_series_baseline_estimator/index autoapi/evalml/pipelines/components/estimators/regressors/xgboost_regressor/index autoapi/evalml/pipelines/components/estimators/estimator/index autoapi/evalml/pipelines/components/transformers/index autoapi/evalml/pipelines/components/transformers/dimensionality_reduction/index autoapi/evalml/pipelines/components/transformers/dimensionality_reduction/lda/index autoapi/evalml/pipelines/components/transformers/dimensionality_reduction/pca/index autoapi/evalml/pipelines/components/transformers/encoders/index autoapi/evalml/pipelines/components/transformers/encoders/onehot_encoder/index autoapi/evalml/pipelines/components/transformers/encoders/target_encoder/index autoapi/evalml/pipelines/components/transformers/feature_selection/index autoapi/evalml/pipelines/components/transformers/feature_selection/feature_selector/index autoapi/evalml/pipelines/components/transformers/feature_selection/rf_classifier_feature_selector/index autoapi/evalml/pipelines/components/transformers/feature_selection/rf_regressor_feature_selector/index autoapi/evalml/pipelines/components/transformers/imputers/index autoapi/evalml/pipelines/components/transformers/imputers/imputer/index autoapi/evalml/pipelines/components/transformers/imputers/per_column_imputer/index autoapi/evalml/pipelines/components/transformers/imputers/simple_imputer/index autoapi/evalml/pipelines/components/transformers/imputers/target_imputer/index autoapi/evalml/pipelines/components/transformers/preprocessing/index autoapi/evalml/pipelines/components/transformers/preprocessing/datetime_featurizer/index autoapi/evalml/pipelines/components/transformers/preprocessing/delayed_feature_transformer/index autoapi/evalml/pipelines/components/transformers/preprocessing/drop_null_columns/index autoapi/evalml/pipelines/components/transformers/preprocessing/featuretools/index autoapi/evalml/pipelines/components/transformers/preprocessing/lsa/index autoapi/evalml/pipelines/components/transformers/preprocessing/polynomial_detrender/index autoapi/evalml/pipelines/components/transformers/preprocessing/text_featurizer/index autoapi/evalml/pipelines/components/transformers/preprocessing/text_transformer/index autoapi/evalml/pipelines/components/transformers/samplers/index autoapi/evalml/pipelines/components/transformers/samplers/base_sampler/index autoapi/evalml/pipelines/components/transformers/samplers/oversamplers/index autoapi/evalml/pipelines/components/transformers/samplers/undersampler/index autoapi/evalml/pipelines/components/transformers/scalers/index autoapi/evalml/pipelines/components/transformers/scalers/standard_scaler/index autoapi/evalml/pipelines/components/transformers/column_selectors/index autoapi/evalml/pipelines/components/transformers/transformer/index autoapi/evalml/pipelines/components/component_base/index autoapi/evalml/pipelines/components/component_base_meta/index autoapi/evalml/pipelines/components/utils/index autoapi/evalml/pipelines/binary_classification_pipeline/index autoapi/evalml/pipelines/binary_classification_pipeline_mixin/index autoapi/evalml/pipelines/classification_pipeline/index autoapi/evalml/pipelines/component_graph/index autoapi/evalml/pipelines/multiclass_classification_pipeline/index autoapi/evalml/pipelines/pipeline_base/index autoapi/evalml/pipelines/pipeline_meta/index autoapi/evalml/pipelines/regression_pipeline/index autoapi/evalml/pipelines/time_series_classification_pipelines/index autoapi/evalml/pipelines/time_series_regression_pipeline/index autoapi/evalml/pipelines/utils/index autoapi/evalml/preprocessing/index autoapi/evalml/preprocessing/data_splitters/index autoapi/evalml/preprocessing/data_splitters/balanced_classification_sampler/index autoapi/evalml/preprocessing/data_splitters/sampler_base/index autoapi/evalml/preprocessing/data_splitters/time_series_split/index autoapi/evalml/preprocessing/data_splitters/training_validation_split/index autoapi/evalml/preprocessing/utils/index autoapi/evalml/problem_types/index autoapi/evalml/problem_types/problem_types/index autoapi/evalml/problem_types/utils/index autoapi/evalml/tuners/index autoapi/evalml/tuners/grid_search_tuner/index autoapi/evalml/tuners/random_search_tuner/index autoapi/evalml/tuners/skopt_tuner/index autoapi/evalml/tuners/tuner/index autoapi/evalml/tuners/tuner_exceptions/index autoapi/evalml/utils/index autoapi/evalml/utils/base_meta/index autoapi/evalml/utils/cli_utils/index autoapi/evalml/utils/gen_utils/index autoapi/evalml/utils/logger/index autoapi/evalml/utils/update_checker/index autoapi/evalml/utils/woodwork_utils/index release_notes 
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copying TeX support files... copying TeX support files...
done
build succeeded.

The LaTeX files are in _build/latex.
Run 'make' in that directory to run these through (pdf)latex
(use `make latexpdf' here to do that automatically).
WARNING: Missing searchtools: /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/_build/latex/_static/searchtools.js

[rtd-command-info] start-time: 2021-07-26T17:10:39.422489Z, end-time: 2021-07-26T17:10:39.495755Z, duration: 0, exit-code: 0
cat latexmkrc
$latex = 'latex ' . $ENV{'LATEXOPTS'} . ' %O %S';
$pdflatex = 'pdflatex ' . $ENV{'LATEXOPTS'} . ' %O %S';
$lualatex = 'lualatex ' . $ENV{'LATEXOPTS'} . ' %O %S';
$xelatex = 'xelatex --no-pdf ' . $ENV{'LATEXOPTS'} . ' %O %S';
$makeindex = 'makeindex -s python.ist %O -o %D %S';
add_cus_dep( "glo", "gls", 0, "makeglo" );
sub makeglo {
 return system( "makeindex -s gglo.ist -o '$_[0].gls' '$_[0].glo'" );
}

[rtd-command-info] start-time: 2021-07-26T17:10:39.608672Z, end-time: 2021-07-26T17:11:21.172387Z, duration: 41, exit-code: 0
latexmk -r latexmkrc -pdf -f -dvi- -ps- -jobname=feature-labs-inc-evalml -interaction=nonstopmode
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\T1/ptm/b/n/10 TIES_TO_CHECK| 
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[]\T1/ptm/m/it/10 random_state\T1/ptm/m/n/10 , \T1/ptm/m/it/10 min_bound=SEED_B
OUNDS.min_bound\T1/ptm/m/n/10 ,
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[]
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[]\T1/ptm/m/it/10 random_state\T1/ptm/m/n/10 , \T1/ptm/m/it/10 min_bound=SEED_B
OUNDS.min_bound\T1/ptm/m/n/10 ,

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\T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_time=No
ne\T1/ptm/m/n/10 , \T1/ptm/m/it/10 pa-tience=None\T1/ptm/m/n/10 , \T1/ptm/m/it/
10 tol-er-

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\T1/ptm/m/it/10 al-lowed_model_families=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 st
art_iteration_callback=None\T1/ptm/m/n/10 ,

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\T1/ptm/m/it/10 add_result_callback=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 er-ror
_callback=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ad-di-

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\T1/ptm/m/it/10 tional_objectives=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 al-ter-n
ate_thresholding_objective=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 F1\TS1/ptm/m/it/10
 '\T1/ptm/m/n/10 ,

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\T1/ptm/m/it/10 ran-dom_seed=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=- 1\T1/pt
m/m/n/10 , \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 op-
ti-

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\T1/ptm/m/it/10 mize_thresholds=True\T1/ptm/m/n/10 , \T1/ptm/m/it/10 en-sem-bli
ng=False\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_batches=None\T1/ptm/m/n/10 ,

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\T1/ptm/m/it/10 prob-lem_configuration=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 tra
in_best_pipeline=True\T1/ptm/m/n/10 ,

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\T1/ptm/m/it/10 pipeline_parameters=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 cus-to
m_hyperparameters=None\T1/ptm/m/n/10 ,

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\T1/ptm/m/it/10 sam-pler_method=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 auto\TS1/ptm/
m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 sam-pler_balanced_ratio=0.25\T1/ptm/m
/n/10 , \T1/ptm/m/it/10 _en-sem-
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[]\T1/pcr/b/n/10 allowed_model_families \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 list(st
r, ModelFamily)\T1/ptm/m/n/10 ) ^^U The model

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\T1/ptm/m/n/10 evalml.pipelines.components.utils.allowed_model_families(^^Pbina
ry^^Q) to see op-tions.

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[]\T1/pcr/b/n/10 data_splitter \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 sklearn.model_se
lection.BaseCrossValidator\T1/ptm/m/n/10 ) ^^U
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[]\T1/ptm/m/n/10 and \T1/ptm/m/it/10 search_order\T1/ptm/m/n/10 :
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Chapter 6.
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[]\T1/ptm/m/n/10 En-sures the typ-ing for Or-di-nal and Date-time ltypes are pa
ssed through _re-
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[]\T1/ptm/m/n/10 Re-moved \T1/pcr/m/n/10 PipelineBase\T1/ptm/m/n/10 's \T1/pcr/
m/n/10 _component_graph \T1/ptm/m/n/10 at-tribute. Up-dated \T1/pcr/m/n/10 Pipe
lineBase
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[]\T1/ptm/m/n/10 Moved \T1/pcr/m/n/10 default_parameters \T1/ptm/m/n/10 to \T1/
pcr/m/n/10 ComponentGraph \T1/ptm/m/n/10 from \T1/pcr/m/n/10 PipelineBase\T1/pt
m/m/n/10 . A
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[]\T1/ptm/m/n/10 All base-line pipeline classes (\T1/pcr/m/n/10 BaselineBinaryP
ipeline\T1/ptm/m/n/10 ,
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[]\T1/ptm/m/n/10 Fixed \T1/pcr/m/n/10 BalancedClassificationDataCVSplit\T1/ptm/
m/n/10 , \T1/pcr/m/n/10 BalancedClassificationDataTVSplit\T1/ptm/m/n/10 ,
[1212]
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[]\T1/ptm/m/n/10 Re-named \T1/pcr/m/n/10 balanced_ratio \T1/ptm/m/n/10 to \T1/p
cr/m/n/10 sampling_ratio \T1/ptm/m/n/10 for the

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[]\T1/ptm/m/n/10 Deleted the \T1/pcr/m/n/10 raise_and_save_error_callback \T1/p
tm/m/n/10 and the

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[]\T1/ptm/m/n/10 Fixed \T1/pcr/m/n/10 BalancedClassificationDataCVSplit\T1/ptm/
m/n/10 , \T1/pcr/m/n/10 BalancedClassificationDataTVSplit\T1/ptm/m/n/10 ,

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[]\T1/ptm/m/n/10 Added rec-om-mended ac-tions for \T1/pcr/m/n/10 InvalidTargetD
ataCheck\T1/ptm/m/n/10 , up-dated

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[]\T1/ptm/m/n/10 Up-dated \T1/pcr/m/n/10 AutoMLSearch._check_for_high_variance 
\T1/ptm/m/n/10 to not emit
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[]\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 BalancedClassificationDataCVSplit \T1/ptm
/m/n/10 and
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[]\T1/ptm/m/n/10 Ad-justed \T1/pcr/m/n/10 explain_prediction\T1/ptm/m/n/10 , \T
1/pcr/m/n/10 explain_predictions \T1/ptm/m/n/10 and

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[]\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 is_bounded_like_percentage \T1/ptm/m/n/10
 prop-erty for ob-jec-tives. If true, the
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[]\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 visualize_decision_tree \T1/ptm/m/n/10 fo
r tree vi-su-al-iza-

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tm/m/n/10 and

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[]\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 graph_prediction_vs_actual_over_time \T1/
ptm/m/n/10 and
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[]\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 TimeSeriesBinaryClassificationPipeline \T
1/ptm/m/n/10 and

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[]\T1/ptm/m/n/10 Up-date \T1/pcr/m/n/10 AutoMLSearch \T1/ptm/m/n/10 con-struc-t
or to take train-ing data in-stead of \T1/pcr/m/n/10 search \T1/ptm/m/n/10 and

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[]\T1/ptm/m/n/10 Fix Au-toML not pass-ing CV folds to \T1/pcr/m/n/10 DefaultDat
aChecks \T1/ptm/m/n/10 for us-age by
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[]\T1/ptm/m/n/10 Move data split-ters from \T1/pcr/m/n/10 evalml.automl.data_sp
litters \T1/ptm/m/n/10 to \T1/pcr/m/n/10 evalml.

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[]\T1/ptm/m/n/10 Up-dated \T1/pcr/m/n/10 AutoMLSearch.best_pipeline \T1/ptm/m/n
/10 to re-turn a trained pipeline. Pass in

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[]\T1/ptm/m/n/10 Pipeline com-po-nent in-stances can no longer be it-er-ated th
rough us-ing \T1/pcr/m/n/10 Pipeline.

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[]\T1/ptm/m/n/10 Up-date \T1/pcr/m/n/10 AutoMLSearch \T1/ptm/m/n/10 con-struc-t
or to take train-ing data in-stead of \T1/pcr/m/n/10 search \T1/ptm/m/n/10 and
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[]\T1/ptm/m/n/10 Re-named \T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 to \T1/pcr
/m/n/10 problem_types \T1/ptm/m/n/10 in \T1/pcr/m/n/10 RegressionObjective\T1/p
tm/m/n/10 ,

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\T1/pcr/m/n/10 BinaryClassificationObjective\T1/ptm/m/n/10 , and \T1/pcr/m/n/10
 MulticlassClassificationObjective
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[]\T1/ptm/m/n/10 Added stacked en-sem-ble com-po-nent classes (\T1/pcr/m/n/10 S
tackedEnsembleClassifier\T1/ptm/m/n/10 ,

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d re-placed syn-ony-mous warn-ing in

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[]\T1/ptm/m/n/10 Added cv_folds to \T1/pcr/m/n/10 ClassImbalanceDataCheck \T1/p
tm/m/n/10 and added this check to
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[]\T1/pcr/m/n/10 max_pipelines \T1/ptm/m/n/10 pa-ram-e-ter has been re-moved fr
om \T1/pcr/m/n/10 AutoMLSearch\T1/ptm/m/n/10 . Please use
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[]\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 solver \T1/ptm/m/n/10 and \T1/pcr/m/n/10 
multi_class \T1/ptm/m/n/10 as named ar-gu-ments to
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[]
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[]\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 _compute_shap_values \T1/ptm/m/n/10 and \
T1/pcr/m/n/10 normalize_values \T1/ptm/m/n/10 to \T1/pcr/m/n/10 pipelines/

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[]\T1/ptm/m/n/10 Added uni-ver-sal er-ror for call-ing \T1/pcr/m/n/10 predict\T
1/ptm/m/n/10 , \T1/pcr/m/n/10 predict_proba\T1/ptm/m/n/10 , \T1/pcr/m/n/10 tran
sform\T1/ptm/m/n/10 , and

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[]\T1/ptm/m/n/10 Made \T1/pcr/m/n/10 TextFeaturizer \T1/ptm/m/n/10 com-po-nent 
and pip de-pen-den-cies \T1/pcr/m/n/10 featuretools \T1/ptm/m/n/10 and

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[]\T1/ptm/m/n/10 Moved \T1/pcr/m/n/10 evalml.model_families.list_model_families
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[]\T1/pcr/m/n/10 evalml.model_families.list_model_families \T1/ptm/m/n/10 has b
een moved to \T1/pcr/m/n/10 evalml.

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[]\T1/ptm/m/n/10 Deleted static pipelines and refac-tored tests in-volv-ing sta
tic pipelines, re-moved
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[]\T1/ptm/m/n/10 Added sup-port for \T1/pcr/m/n/10 categories\T1/ptm/m/n/10 , \
T1/pcr/m/n/10 handle_error\T1/ptm/m/n/10 , and \T1/pcr/m/n/10 drop \T1/ptm/m/n/
10 pa-ram-e-ters in
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[]\T1/ptm/m/n/10 Refac-tor \T1/pcr/m/n/10 handle_components \T1/ptm/m/n/10 to \
T1/pcr/m/n/10 handle_components_class\T1/ptm/m/n/10 , stan-dard-ize to

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[]\T1/ptm/m/n/10 Re-placed \T1/pcr/m/n/10 AutoClassificationSearch \T1/ptm/m/n/
10 and \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 with

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[]\T1/ptm/m/n/10 Re-placed \T1/pcr/m/n/10 AutoClassificationSearch \T1/ptm/m/n/
10 and \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 with

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[]\T1/ptm/m/n/10 Re-name \T1/pcr/m/n/10 handle_component \T1/ptm/m/n/10 to \T1/
pcr/m/n/10 handle_component_class\T1/ptm/m/n/10 . Now stan-dard-izes to
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[]\T1/ptm/m/n/10 Up-dated Au-to-Base with \T1/pcr/m/n/10 data_checks \T1/ptm/m/
n/10 pa-ram-e-ter, re-moved pre-vi-ous
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[]\T1/ptm/m/n/10 Re-named \T1/pcr/m/n/10 pipeline.feature_importance_graph \T1/
ptm/m/n/10 to \T1/pcr/m/n/10 pipeline.

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[]\T1/ptm/m/n/10 Re-named \T1/pcr/m/n/10 MultiClassificationObjective \T1/ptm/m
/n/10 to \T1/pcr/m/n/10 MulticlassClassificationObjective\T1/ptm/m/n/10 ,
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[]\T1/pcr/m/n/10 pipeline.feature_importance_graph \T1/ptm/m/n/10 has been re-n
amed to \T1/pcr/m/n/10 pipeline.
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[]\T1/ptm/m/n/10 Re-named \T1/pcr/m/n/10 PipelineBase.name \T1/ptm/m/n/10 as \T
1/pcr/m/n/10 PipelineBase.summary \T1/ptm/m/n/10 and re-de-fined

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[]\T1/ptm/m/n/10 Refac-tored \T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 for pi
pelines and com-po-nents into

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[]\T1/ptm/m/n/10 Moved \T1/pcr/m/n/10 pipelines/utils.save_pipeline \T1/ptm/m/n
/10 and \T1/pcr/m/n/10 pipelines/utils.
[1241]
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[]\T1/pcr/m/n/10 PipelineBase.name \T1/ptm/m/n/10 no longer re-turns struc-ture
 of pipeline and has been re-placed by

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[]\T1/pcr/m/n/10 pipelines/utils.save_pipeline \T1/ptm/m/n/10 and \T1/pcr/m/n/1
0 pipelines/utils.load_pipeline \T1/ptm/m/n/10 moved to

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[]\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 n_jobs \T1/ptm/m/n/10 as pa-ram-e-ter for
 \T1/pcr/m/n/10 AutoClassificationSearch \T1/ptm/m/n/10 and
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[]\T1/ptm/m/n/10 Re-named au-toml classes to \T1/pcr/m/n/10 AutoRegressionSearc
h \T1/ptm/m/n/10 and
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[]\T1/pcr/m/n/10 evalml.automl.automl_algorithm.automl_algorithm\T1/ptm/m/n/10 
,

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[]\T1/pcr/m/n/10 evalml.automl.automl_algorithm.iterative_algorithm\T1/ptm/m/n/
10 ,

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[]\T1/pcr/m/n/10 evalml.automl.engine.sequential_engine\T1/ptm/m/n/10 ,

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[]\T1/pcr/m/n/10 evalml.data_checks.class_imbalance_data_check\T1/ptm/m/n/10 ,

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[]\T1/pcr/m/n/10 evalml.data_checks.data_check_action\T1/ptm/m/n/10 ,

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[]\T1/pcr/m/n/10 evalml.data_checks.data_check_action_code\T1/ptm/m/n/10 ,

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[]\T1/pcr/m/n/10 evalml.data_checks.data_check_message\T1/ptm/m/n/10 ,

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[]\T1/pcr/m/n/10 evalml.data_checks.data_check_message_code\T1/ptm/m/n/10 ,

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[]\T1/pcr/m/n/10 evalml.data_checks.data_check_message_type\T1/ptm/m/n/10 ,

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[]\T1/pcr/m/n/10 evalml.data_checks.datetime_nan_data_check\T1/ptm/m/n/10 ,

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[]\T1/pcr/m/n/10 evalml.data_checks.default_data_checks\T1/ptm/m/n/10 ,

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[]\T1/pcr/m/n/10 evalml.data_checks.highly_null_data_check\T1/ptm/m/n/10 ,

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[]\T1/pcr/m/n/10 evalml.data_checks.id_columns_data_check\T1/ptm/m/n/10 ,

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[]\T1/pcr/m/n/10 evalml.data_checks.invalid_targets_data_check\T1/ptm/m/n/10 ,

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[]\T1/pcr/m/n/10 evalml.data_checks.multicollinearity_data_check\T1/ptm/m/n/10 
,

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[]\T1/pcr/m/n/10 evalml.data_checks.natural_language_nan_data_check\T1/ptm/m/n/
10 ,

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[]\T1/pcr/m/n/10 evalml.data_checks.no_variance_data_check\T1/ptm/m/n/10 ,

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Output written on feature-labs-inc-evalml.pdf (1359 pages, 3555773 bytes).
Transcript written on feature-labs-inc-evalml.log.
Latexmk: Index file 'feature-labs-inc-evalml.idx' was written
Latexmk: Log file says output to 'feature-labs-inc-evalml.pdf'
Collected error summary (may duplicate other messages):
  pdflatex: Command for 'pdflatex' gave return code 256
Latexmk: Errors, in force_mode: so I tried finishing targets

[rtd-command-info] start-time: 2021-07-26T17:11:21.943666Z, end-time: 2021-07-26T17:11:22.013728Z, duration: 0, exit-code: 0
mv -f /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/_build/latex/feature-labs-inc-evalml.pdf /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/artifacts/main/sphinx_pdf/feature-labs-inc-evalml.pdf