Read the Docs build information
Build id: 465737
Project: feature-labs-inc-evalml
Version: main
Commit: 4166fbb852d364104729899e59319406027b493f
Date: 2020-10-29T15:40:56.179559Z
State: finished
Success: True


[rtd-command-info] start-time: 2020-10-29T15:41:03.018284Z, end-time: 2020-10-29T15:41:04.961642Z, duration: 1, exit-code: 0
git clone --no-single-branch --depth 50 git@github.com:alteryx/evalml.git .
Cloning into '.'...
Warning: Permanently added 'github.com,192.30.255.112' (RSA) to the list of known hosts.

[rtd-command-info] start-time: 2020-10-29T15:41:05.757032Z, end-time: 2020-10-29T15:41:05.882591Z, 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 4166fbb8 Add a tutorial for text data (#1357)

[rtd-command-info] start-time: 2020-10-29T15:41:06.301034Z, end-time: 2020-10-29T15:41:06.356767Z, duration: 0, exit-code: 0
git clean -d -f -f


[rtd-command-info] start-time: 2020-10-29T15:41:07.885065Z, end-time: 2020-10-29T15:41:11.785700Z, duration: 3, exit-code: 0
python3.7 -mvirtualenv 
Using base prefix '/home/docs/.pyenv/versions/3.7.9'
New python executable in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/bin/python3.7
Also creating executable in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/bin/python
Installing setuptools, pip, wheel...
done.

[rtd-command-info] start-time: 2020-10-29T15:41:11.920293Z, end-time: 2020-10-29T15:41:12.605381Z, duration: 0, exit-code: 0
python -m pip install --upgrade --no-cache-dir pip
Requirement already up-to-date: pip in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (20.2.4)

[rtd-command-info] start-time: 2020-10-29T15:41:12.970960Z, end-time: 2020-10-29T15:41:21.085174Z, duration: 8, exit-code: 0
python -m pip install --upgrade --no-cache-dir setuptools==41.0.1 docutils==0.14 mock==1.0.1 pillow==5.4.1 alabaster>=0.7,<0.8,!=0.7.5 commonmark==0.8.1 recommonmark==0.5.0 sphinx<2 sphinx-rtd-theme<0.5 readthedocs-sphinx-ext<2.2
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Building wheels for collected packages: mock, future
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Successfully built mock future
Installing collected packages: setuptools, docutils, mock, pillow, alabaster, future, commonmark, urllib3, certifi, idna, chardet, requests, MarkupSafe, Jinja2, pytz, babel, six, pyparsing, packaging, Pygments, imagesize, sphinxcontrib-serializinghtml, sphinxcontrib-websupport, snowballstemmer, 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-2.7.2 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-2.1.1 recommonmark-0.5.0 requests-2.24.0 setuptools-41.0.1 six-1.15.0 snowballstemmer-2.0.0 sphinx-1.8.5 sphinx-rtd-theme-0.4.3 sphinxcontrib-serializinghtml-1.1.4 sphinxcontrib-websupport-1.2.4 urllib3-1.25.11

[rtd-command-info] start-time: 2020-10-29T15:41:21.277001Z, end-time: 2020-10-29T15:42:29.883709Z, duration: 68, exit-code: 0
python -m pip install --upgrade --upgrade-strategy eager --no-cache-dir .
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Successfully built evalml psutil requirements-parser shap pyyaml nltk retrying tornado locket pyrsistent pandocfilters
Installing collected packages: numpy, python-dateutil, pandas, scipy, joblib, threadpoolctl, scikit-learn, pyyaml, pyaml, scikit-optimize, colorama, cloudpickle, click, psutil, requirements-parser, tqdm, slicer, setuptools, llvmlite, numba, shap, texttable, woodwork, fsspec, toolz, locket, partd, dask, tblib, tornado, sortedcontainers, heapdict, zict, msgpack, distributed, featuretools, regex, nltk, nlp-primitives, retrying, plotly, ipython-genutils, attrs, pyrsistent, zipp, importlib-metadata, jsonschema, traitlets, jupyter-core, nbformat, pyzmq, jupyter-client, backcall, pickleshare, parso, jedi, ptyprocess, pexpect, decorator, wcwidth, prompt-toolkit, ipython, ipykernel, pycparser, cffi, argon2-cffi, pandocfilters, jupyterlab-pygments, async-generator, nest-asyncio, nbclient, mistune, defusedxml, entrypoints, webencodings, bleach, testpath, nbconvert, terminado, prometheus-client, Send2Trash, notebook, widgetsnbextension, ipywidgets, xgboost, cycler, kiwisolver, pillow, matplotlib, graphviz, catboost, lightgbm, evalml
  Attempting uninstall: setuptools
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    Uninstalling setuptools-41.0.1:
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  Attempting uninstall: pillow
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    Uninstalling Pillow-5.4.1:
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Successfully installed Send2Trash-1.5.0 argon2-cffi-20.1.0 async-generator-1.10 attrs-20.2.0 backcall-0.2.0 bleach-3.2.1 catboost-0.24.2 cffi-1.14.3 click-7.1.2 cloudpickle-1.6.0 colorama-0.4.4 cycler-0.10.0 dask-2.30.0 decorator-4.4.2 defusedxml-0.6.0 distributed-2.30.0 entrypoints-0.3 evalml-0.14.1 featuretools-0.20.0 fsspec-0.8.4 graphviz-0.14.2 heapdict-1.0.1 importlib-metadata-2.0.0 ipykernel-5.3.4 ipython-7.18.1 ipython-genutils-0.2.0 ipywidgets-7.5.1 jedi-0.17.2 joblib-0.17.0 jsonschema-3.2.0 jupyter-client-6.1.7 jupyter-core-4.6.3 jupyterlab-pygments-0.1.2 kiwisolver-1.3.0 lightgbm-3.0.0 llvmlite-0.34.0 locket-0.2.0 matplotlib-3.3.2 mistune-0.8.4 msgpack-1.0.0 nbclient-0.5.1 nbconvert-6.0.7 nbformat-5.0.8 nest-asyncio-1.4.2 nlp-primitives-1.1.0 nltk-3.5 notebook-6.1.4 numba-0.51.2 numpy-1.19.3 pandas-1.1.3 pandocfilters-1.4.3 parso-0.7.1 partd-1.1.0 pexpect-4.8.0 pickleshare-0.7.5 pillow-8.0.1 plotly-4.12.0 prometheus-client-0.8.0 prompt-toolkit-3.0.8 psutil-5.7.3 ptyprocess-0.6.0 pyaml-20.4.0 pycparser-2.20 pyrsistent-0.17.3 python-dateutil-2.8.1 pyyaml-5.3.1 pyzmq-19.0.2 regex-2020.10.28 requirements-parser-0.2.0 retrying-1.3.3 scikit-learn-0.23.2 scikit-optimize-0.8.1 scipy-1.5.3 setuptools-50.3.2 shap-0.36.0 slicer-0.0.4 sortedcontainers-2.2.2 tblib-1.7.0 terminado-0.9.1 testpath-0.4.4 texttable-1.6.3 threadpoolctl-2.1.0 toolz-0.11.1 tornado-6.0.4 tqdm-4.51.0 traitlets-5.0.5 wcwidth-0.2.5 webencodings-0.5.1 widgetsnbextension-3.5.1 woodwork-0.0.4 xgboost-1.2.1 zict-2.0.0 zipp-3.4.0

[rtd-command-info] start-time: 2020-10-29T15:42:30.106541Z, end-time: 2020-10-29T15:42:44.168080Z, duration: 14, exit-code: 0
python -m pip install --exists-action=w --no-cache-dir -r dev-requirements.txt
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[rtd-command-info] start-time: 2020-10-29T15:43:14.890442Z, end-time: 2020-10-29T15:43:14.964521Z, duration: 0, exit-code: 0
cat docs/source/conf.py
# -*- coding: utf-8 -*-
#
# Configuration file for the Sphinx documentation builder.
#
# This file does only contain a selection of the most common options. For a
# full list see the documentation:
# http://www.sphinx-doc.org/en/master/config

# -- Path setup --------------------------------------------------------------

# If extensions (or modules to document with autodoc) are in another directory,
# add these directories to sys.path here. If the directory is relative to the
# documentation root, use os.path.abspath to make it absolute, like shown here.

import evalml
import os
import sys
import subprocess
from sphinx.ext.autodoc import (Documenter, MethodDocumenter)


from sphinx.ext.autodoc import MethodDocumenter, Documenter

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


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

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

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


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

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

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

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

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

# The main toctree document.
master_doc = 'index'

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

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

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


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

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

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

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

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

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

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


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

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


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

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

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

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

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

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


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

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


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

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


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

# Bibliographic Dublin Core info.
epub_title = project

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

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

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


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

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

autosummary_generate = ["api_reference.rst"]
templates_path = ["_templates"]

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

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

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

    Referenced pandas-sphinx-theme (https://github.com/pandas-dev/pandas-sphinx-theme)
    and sphinx-doc (https://github.com/sphinx-doc/sphinx/blob/8c7faed6fcbc6b7d40f497698cb80fc10aee1ab3/sphinx/ext/autodoc/__init__.py#L846)
    """
    def resolve_name(self, modname, parents, path, base):
        modname = 'evalml'
        mod_cls = path.rstrip('.')
        mod_cls = mod_cls.split('.')
        return modname, mod_cls + [base]


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

    objtype = "accessorcallable"
    directivetype = "method"

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

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


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

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


def setup(app):
    app.add_javascript('https://cdnjs.cloudflare.com/ajax/libs/require.js/2.1.10/require.min.js')
    app.add_stylesheet("style.css")
    app.add_autodocumenter(AccessorCallableDocumenter)
    app.add_autodocumenter(AccessorMethodDocumenter)




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


#
# The following code was added during an automated build on readthedocs.org
# It is auto created and injected for every build. The result is based on the
# conf.py.tmpl file found in the readthedocs.org codebase:
# https://github.com/rtfd/readthedocs.org/blob/master/readthedocs/doc_builder/templates/doc_builder/conf.py.tmpl
#


import importlib
import sys
import os.path
from six import string_types

from sphinx import version_info

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

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

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

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


#Add project information to the template context.
context = {
    'using_theme': using_rtd_theme,
    'html_theme': html_theme,
    'current_version': "main",
    'version_slug': "main",
    'MEDIA_URL': "https://media.readthedocs.com/media/",
    'STATIC_URL': "https://assets.readthedocs.com/",
    'PRODUCTION_DOMAIN': "readthedocs.com",
    'versions': [
    ],
    'downloads': [ 
    ],
    'subprojects': [ 
    ],
    'slug': 'feature-labs-inc-evalml',
    'name': u'EvalML',
    'rtd_language': u'en',
    'programming_language': u'words',
    'canonical_url': 'https://evalml.alteryx.com/en/stable/',
    'analytics_code': 'UA-64679566-12',
    'single_version': False,
    'conf_py_path': '/docs/source/',
    'api_host': 'https://readthedocs.com',
    'github_user': 'alteryx',
    'proxied_api_host': '/_',
    'github_repo': 'evalml',
    'github_version': 'main',
    'display_github': True,
    'bitbucket_user': 'None',
    'bitbucket_repo': 'None',
    'bitbucket_version': 'main',
    'display_bitbucket': False,
    'gitlab_user': 'None',
    'gitlab_repo': 'None',
    'gitlab_version': 'main',
    'display_gitlab': False,
    'READTHEDOCS': True,
    'using_theme': (html_theme == "default"),
    'new_theme': (html_theme == "sphinx_rtd_theme"),
    'source_suffix': SUFFIX,
    'ad_free': False,
    'docsearch_disabled': False,
    'user_analytics_code': 'UA-64679566-12',
    'global_analytics_code': 'UA-17997319-2',
    'commit': '4166fbb8',
}




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: 2020-10-29T15:43:15.157543Z, end-time: 2020-10-29T15:54:41.885067Z, duration: 686, 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
Matplotlib is building the font cache; this may take a moment.
loading translations [en]... done
making output directory... done
[autosummary] generating autosummary for: api_reference.rst
[autosummary] generating autosummary for: /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.automl.AutoMLSearch.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.automl.automl_algorithm.AutoMLAlgorithm.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.automl.automl_algorithm.IterativeAlgorithm.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.automl.get_default_primary_search_objective.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.data_checks.ClassImbalanceDataCheck.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.data_checks.DataCheck.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.data_checks.DataCheckError.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.data_checks.DataCheckMessage.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.data_checks.DataCheckMessageType.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.data_checks.DataCheckWarning.rst, ..., /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.problem_types.detect_problem_type.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.problem_types.handle_problem_types.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.tuners.GridSearchTuner.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.tuners.RandomSearchTuner.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.tuners.SKOptTuner.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.tuners.Tuner.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.utils.convert_to_seconds.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.utils.get_random_seed.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.utils.get_random_state.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.utils.import_or_raise.rst
[autosummary] generating autosummary for: /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.automl.AutoMLSearch.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.automl.AutoMLSearch.add_to_rankings.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.automl.AutoMLSearch.describe_pipeline.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.automl.AutoMLSearch.get_pipeline.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.automl.AutoMLSearch.load.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.automl.AutoMLSearch.save.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.automl.AutoMLSearch.search.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.add_result.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.next_batch.rst, ..., /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.tuners.RandomSearchTuner.is_search_space_exhausted.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.tuners.RandomSearchTuner.propose.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.tuners.SKOptTuner.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.tuners.SKOptTuner.add.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.tuners.SKOptTuner.is_search_space_exhausted.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.tuners.SKOptTuner.propose.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.tuners.Tuner.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.tuners.Tuner.add.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.tuners.Tuner.is_search_space_exhausted.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.tuners.Tuner.propose.rst
building [mo]: targets for 0 po files that are out of date
building [readthedocs]: targets for 19 source files that are out of date
updating environment: 828 added, 0 changed, 0 removed
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generating indices... genindex
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writing additional pages... search
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copying static files... done
copying extra files... done
dumping search index in English (code: en) ... done
dumping object inventory... done
build succeeded.

The HTML pages are in _build/html.
Updating searchtools for Read the Docs search...

[rtd-command-info] start-time: 2020-10-29T15:54:42.910782Z, end-time: 2020-10-29T16:04:26.410723Z, duration: 583, exit-code: 0
python sphinx-build -b latex -D language=en -d _build/doctrees . _build/latex
Running Sphinx v2.0.1
loading translations [en]... done
making output directory... done
[autosummary] generating autosummary for: api_reference.rst
building [mo]: targets for 0 po files that are out of date
building [latex]: all documents
updating environment: 828 added, 0 changed, 0 removed
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processing EvalML.tex... index install start tutorials demos/fraud demos/lead_scoring demos/cost_benefit_matrix demos/text_input user_guide user_guide/automl user_guide/objectives user_guide/components user_guide/pipelines user_guide/model_understanding user_guide/data_checks user_guide/utilities user_guide/faq api_reference generated/evalml.demos.load_fraud generated/evalml.demos.load_wine generated/evalml.demos.load_breast_cancer generated/evalml.demos.load_diabetes generated/evalml.demos.load_churn generated/evalml.preprocessing.load_data generated/evalml.preprocessing.drop_nan_target_rows generated/evalml.preprocessing.target_distribution generated/evalml.preprocessing.number_of_features generated/evalml.preprocessing.split_data generated/evalml.automl.AutoMLSearch generated/methods/evalml.automl.AutoMLSearch.__init__ generated/methods/evalml.automl.AutoMLSearch.add_to_rankings generated/methods/evalml.automl.AutoMLSearch.describe_pipeline 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generated/methods/evalml.pipelines.MulticlassClassificationPipeline.fit generated/methods/evalml.pipelines.MulticlassClassificationPipeline.get_component generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph_feature_importance generated/methods/evalml.pipelines.MulticlassClassificationPipeline.load generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict_proba generated/methods/evalml.pipelines.MulticlassClassificationPipeline.save generated/methods/evalml.pipelines.MulticlassClassificationPipeline.score generated/evalml.pipelines.RegressionPipeline generated/methods/evalml.pipelines.RegressionPipeline.__init__ generated/methods/evalml.pipelines.RegressionPipeline.clone generated/methods/evalml.pipelines.RegressionPipeline.compute_estimator_features generated/methods/evalml.pipelines.RegressionPipeline.describe generated/methods/evalml.pipelines.RegressionPipeline.fit generated/methods/evalml.pipelines.RegressionPipeline.get_component generated/methods/evalml.pipelines.RegressionPipeline.graph generated/methods/evalml.pipelines.RegressionPipeline.graph_feature_importance generated/methods/evalml.pipelines.RegressionPipeline.load generated/methods/evalml.pipelines.RegressionPipeline.predict generated/methods/evalml.pipelines.RegressionPipeline.save generated/methods/evalml.pipelines.RegressionPipeline.score generated/evalml.pipelines.BaselineBinaryPipeline generated/methods/evalml.pipelines.BaselineBinaryPipeline.__init__ generated/methods/evalml.pipelines.BaselineBinaryPipeline.clone generated/methods/evalml.pipelines.BaselineBinaryPipeline.compute_estimator_features generated/methods/evalml.pipelines.BaselineBinaryPipeline.describe generated/methods/evalml.pipelines.BaselineBinaryPipeline.fit generated/methods/evalml.pipelines.BaselineBinaryPipeline.get_component generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph_feature_importance generated/methods/evalml.pipelines.BaselineBinaryPipeline.load generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict_proba generated/methods/evalml.pipelines.BaselineBinaryPipeline.save generated/methods/evalml.pipelines.BaselineBinaryPipeline.score generated/evalml.pipelines.BaselineMulticlassPipeline generated/methods/evalml.pipelines.BaselineMulticlassPipeline.__init__ generated/methods/evalml.pipelines.BaselineMulticlassPipeline.clone generated/methods/evalml.pipelines.BaselineMulticlassPipeline.compute_estimator_features generated/methods/evalml.pipelines.BaselineMulticlassPipeline.describe generated/methods/evalml.pipelines.BaselineMulticlassPipeline.fit 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generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.get_component generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph_feature_importance generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.load generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict_proba generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.save generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.score generated/evalml.pipelines.ModeBaselineMulticlassPipeline generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.__init__ generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.clone generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.compute_estimator_features generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.describe generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.fit generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.get_component generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph_feature_importance generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.load generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict_proba generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.save generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.score generated/evalml.pipelines.BaselineRegressionPipeline generated/methods/evalml.pipelines.BaselineRegressionPipeline.__init__ generated/methods/evalml.pipelines.BaselineRegressionPipeline.clone generated/methods/evalml.pipelines.BaselineRegressionPipeline.compute_estimator_features generated/methods/evalml.pipelines.BaselineRegressionPipeline.describe generated/methods/evalml.pipelines.BaselineRegressionPipeline.fit generated/methods/evalml.pipelines.BaselineRegressionPipeline.get_component generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph_feature_importance generated/methods/evalml.pipelines.BaselineRegressionPipeline.load generated/methods/evalml.pipelines.BaselineRegressionPipeline.predict generated/methods/evalml.pipelines.BaselineRegressionPipeline.save generated/methods/evalml.pipelines.BaselineRegressionPipeline.score generated/evalml.pipelines.MeanBaselineRegressionPipeline generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.__init__ generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.clone generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.compute_estimator_features generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.describe generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.fit generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.get_component generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph_feature_importance generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.load generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.predict generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.save generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.score generated/evalml.pipelines.utils.make_pipeline generated/evalml.pipelines.utils.make_pipeline_from_components generated/evalml.pipelines.utils.generate_pipeline_code generated/evalml.pipelines.components.ComponentBase generated/methods/evalml.pipelines.components.ComponentBase.__init__ generated/methods/evalml.pipelines.components.ComponentBase.clone generated/methods/evalml.pipelines.components.ComponentBase.describe generated/methods/evalml.pipelines.components.ComponentBase.fit generated/methods/evalml.pipelines.components.ComponentBase.load generated/methods/evalml.pipelines.components.ComponentBase.save generated/evalml.pipelines.components.Transformer generated/methods/evalml.pipelines.components.Transformer.__init__ generated/methods/evalml.pipelines.components.Transformer.clone generated/methods/evalml.pipelines.components.Transformer.describe generated/methods/evalml.pipelines.components.Transformer.fit generated/methods/evalml.pipelines.components.Transformer.fit_transform generated/methods/evalml.pipelines.components.Transformer.load generated/methods/evalml.pipelines.components.Transformer.save generated/methods/evalml.pipelines.components.Transformer.transform generated/evalml.pipelines.components.Estimator generated/methods/evalml.pipelines.components.Estimator.__init__ generated/methods/evalml.pipelines.components.Estimator.clone generated/methods/evalml.pipelines.components.Estimator.describe generated/methods/evalml.pipelines.components.Estimator.fit generated/methods/evalml.pipelines.components.Estimator.load generated/methods/evalml.pipelines.components.Estimator.predict generated/methods/evalml.pipelines.components.Estimator.predict_proba generated/methods/evalml.pipelines.components.Estimator.save generated/evalml.pipelines.components.utils.allowed_model_families generated/evalml.pipelines.components.utils.get_estimators generated/evalml.pipelines.components.utils.generate_component_code generated/evalml.pipelines.components.DropColumns generated/methods/evalml.pipelines.components.DropColumns.__init__ generated/methods/evalml.pipelines.components.DropColumns.clone generated/methods/evalml.pipelines.components.DropColumns.describe generated/methods/evalml.pipelines.components.DropColumns.fit generated/methods/evalml.pipelines.components.DropColumns.fit_transform generated/methods/evalml.pipelines.components.DropColumns.load generated/methods/evalml.pipelines.components.DropColumns.save generated/methods/evalml.pipelines.components.DropColumns.transform generated/evalml.pipelines.components.SelectColumns generated/methods/evalml.pipelines.components.SelectColumns.__init__ generated/methods/evalml.pipelines.components.SelectColumns.clone generated/methods/evalml.pipelines.components.SelectColumns.describe generated/methods/evalml.pipelines.components.SelectColumns.fit generated/methods/evalml.pipelines.components.SelectColumns.fit_transform generated/methods/evalml.pipelines.components.SelectColumns.load generated/methods/evalml.pipelines.components.SelectColumns.save generated/methods/evalml.pipelines.components.SelectColumns.transform generated/evalml.pipelines.components.OneHotEncoder generated/methods/evalml.pipelines.components.OneHotEncoder.__init__ generated/methods/evalml.pipelines.components.OneHotEncoder.categories generated/methods/evalml.pipelines.components.OneHotEncoder.clone generated/methods/evalml.pipelines.components.OneHotEncoder.describe generated/methods/evalml.pipelines.components.OneHotEncoder.fit generated/methods/evalml.pipelines.components.OneHotEncoder.fit_transform generated/methods/evalml.pipelines.components.OneHotEncoder.get_feature_names generated/methods/evalml.pipelines.components.OneHotEncoder.load generated/methods/evalml.pipelines.components.OneHotEncoder.save generated/methods/evalml.pipelines.components.OneHotEncoder.transform generated/evalml.pipelines.components.PerColumnImputer generated/methods/evalml.pipelines.components.PerColumnImputer.__init__ generated/methods/evalml.pipelines.components.PerColumnImputer.clone generated/methods/evalml.pipelines.components.PerColumnImputer.describe 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[rtd-command-info] start-time: 2020-10-29T16:04:26.856990Z, end-time: 2020-10-29T16:04:26.922556Z, duration: 0, exit-code: 0
cat latexmkrc
$latex = 'latex ' . $ENV{'LATEXOPTS'} . ' %O %S';
$pdflatex = 'pdflatex ' . $ENV{'LATEXOPTS'} . ' %O %S';
$lualatex = 'lualatex ' . $ENV{'LATEXOPTS'} . ' %O %S';
$xelatex = 'xelatex --no-pdf ' . $ENV{'LATEXOPTS'} . ' %O %S';
$makeindex = 'makeindex -s python.ist %O -o %D %S';
add_cus_dep( "glo", "gls", 0, "makeglo" );
sub makeglo {
 return system( "makeindex -s gglo.ist -o '$_[0].gls' '$_[0].glo'" );
}

[rtd-command-info] start-time: 2020-10-29T16:04:27.044939Z, end-time: 2020-10-29T16:04:36.209567Z, duration: 9, exit-code: 0
latexmk -r latexmkrc -pdf -f -dvi- -ps- -jobname=feature-labs-inc-evalml -interaction=nonstopmode
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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 To get the de-fault ob-jec-tive for each prob-lem type, you ca
n use the
[39]

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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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[362] [363] [364]
Chapter 6.

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[365] [366]
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[367]
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multi_class \T1/ptm/m/n/10 as named ar-gu-ments to
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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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and pip de-pen-den-cies \T1/pcr/m/n/10 featuretools \T1/ptm/m/n/10 and

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[372]
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[373]
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10 pa-ram-e-ters in
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1/pcr/m/n/10 handle_components_class\T1/ptm/m/n/10 , stan-dard-ize to

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0 and \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 with
[375]
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cr/m/n/10 handle_component_class\T1/ptm/m/n/10 . Now stan-dard-izes to
[376]
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[]\T1/ptm/m/n/10 Updated Au-to-Base with \T1/pcr/m/n/10 data_checks \T1/ptm/m/n
/10 pa-ram-e-ter, re-moved pre-vi-ous
[377] [378]
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tm/m/n/10 to \T1/pcr/m/n/10 pipeline.

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n/10 to \T1/pcr/m/n/10 MulticlassClassificationObjective\T1/ptm/m/n/10 ,
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[380]
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elines and com-po-nents into

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[381]
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 of pipeline and has been re-placed by

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Chapter 6.

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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
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multi_class \T1/ptm/m/n/10 as named ar-gu-ments to
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[]
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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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and pip de-pen-den-cies \T1/pcr/m/n/10 featuretools \T1/ptm/m/n/10 and

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T1/pcr/m/n/10 handle_error\T1/ptm/m/n/10 , and \T1/pcr/m/n/10 drop \T1/ptm/m/n/
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1/pcr/m/n/10 handle_components_class\T1/ptm/m/n/10 , stan-dard-ize to

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cr/m/n/10 handle_component_class\T1/ptm/m/n/10 . Now stan-dard-izes to
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/10 pa-ram-e-ter, re-moved pre-vi-ous
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tm/m/n/10 to \T1/pcr/m/n/10 pipeline.

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 \T1/pcr/m/n/10 AutoClassificationSearch \T1/ptm/m/n/10 and
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ClassImbalanceDataCheck

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selineMulticlassPipeline

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selineRegressionPipeline

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assificationPipeline

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lticlassClassificationPipeline

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gressionPipeline

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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 To get the de-fault ob-jec-tive for each prob-lem type, you ca
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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 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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