Read the Docs build information
Build id: 678089
Project: feature-labs-inc-evalml
Version: main
Commit: 3eb450ad5f4bbd0b2a3db6167ddf3cd655c718c4
Date: 2021-07-15T22:39:45.641245Z
State: finished
Success: True


[rtd-command-info] start-time: 2021-07-15T22:39:47.035798Z, end-time: 2021-07-15T22:39:50.810610Z, duration: 3, exit-code: 0
git clone --no-single-branch --depth 50 https://github.com/alteryx/evalml.git .
Cloning into '.'...

[rtd-command-info] start-time: 2021-07-15T22:39:50.966903Z, end-time: 2021-07-15T22:39:51.142177Z, 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 3eb450ad Update latest dependencies (#2522)

[rtd-command-info] start-time: 2021-07-15T22:39:51.239073Z, end-time: 2021-07-15T22:39:51.305541Z, duration: 0, exit-code: 0
git clean -d -f -f


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git rev-parse HEAD
3eb450ad5f4bbd0b2a3db6167ddf3cd655c718c4

[rtd-command-info] start-time: 2021-07-15T22:39:52.511247Z, end-time: 2021-07-15T22:39:56.618383Z, duration: 4, 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: 2021-07-15T22:39:56.724158Z, end-time: 2021-07-15T22:39:57.754879Z, 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 (21.1.3)
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[rtd-command-info] start-time: 2021-07-15T22:39:57.854529Z, end-time: 2021-07-15T22:40:23.103421Z, duration: 25, 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
  Building wheel for mock (setup.py): started
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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-2.0.2 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: 2021-07-15T22:40:23.208747Z, end-time: 2021-07-15T22:40:23.875527Z, 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: 2021-07-15T22:40:24.028382Z, end-time: 2021-07-15T22:41:31.042293Z, duration: 67, 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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  Created wheel for evalml: filename=evalml-0.28.0-py3-none-any.whl size=6240235 sha256=295cf3d29a4788c8fbd86e46b1e2c5f3059bbf96f12709e7353e26c53c62becc
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  Building wheel for pandocfilters (setup.py): started
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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
    Found existing installation: Pillow 5.4.1
    Uninstalling Pillow-5.4.1:
      Successfully uninstalled Pillow-5.4.1
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-2021.7.0 debugpy-1.3.0 decorator-4.4.2 defusedxml-0.7.1 distributed-2021.7.0 entrypoints-0.3 evalml-0.28.0 featuretools-0.26.0 fsspec-2021.7.0 graphviz-0.17 heapdict-1.0.1 imbalanced-learn-0.8.0 ipykernel-6.0.2 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-1.21.0 pandas-1.2.4 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-0.4.2 xgboost-1.4.2 zict-2.0.0

[rtd-command-info] start-time: 2021-07-15T22:41:31.199873Z, end-time: 2021-07-15T22:41:35.082893Z, duration: 3, exit-code: 0
python -m pip install --exists-action=w --no-cache-dir -r docs-requirements.txt
Collecting docutils<0.17,>=0.15.2
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Requirement already satisfied: nbconvert>=5.5.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from -r docs-requirements.txt (line 4)) (6.1.0)
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Requirement already satisfied: Pygments>=2.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from Sphinx<4.0.0,>=2.0.1->-r docs-requirements.txt (line 3)) (2.9.0)
Requirement already satisfied: Jinja2>=2.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from Sphinx<4.0.0,>=2.0.1->-r docs-requirements.txt (line 3)) (3.0.1)
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Collecting sphinxcontrib-qthelp
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Requirement already satisfied: requests>=2.5.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from Sphinx<4.0.0,>=2.0.1->-r docs-requirements.txt (line 3)) (2.26.0)
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Requirement already satisfied: mistune<2,>=0.8.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from nbconvert>=5.5.0->-r docs-requirements.txt (line 4)) (0.8.4)
Requirement already satisfied: pandocfilters>=1.4.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from nbconvert>=5.5.0->-r docs-requirements.txt (line 4)) (1.4.3)
Requirement already satisfied: defusedxml in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from nbconvert>=5.5.0->-r docs-requirements.txt (line 4)) (0.7.1)
Requirement already satisfied: traitlets>=5.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from nbconvert>=5.5.0->-r docs-requirements.txt (line 4)) (5.0.5)
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Requirement already satisfied: pyzmq>=13 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from jupyter-client>=6.1.5->nbclient<0.6.0,>=0.5.0->nbconvert>=5.5.0->-r docs-requirements.txt (line 4)) (22.1.0)
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Requirement already satisfied: ipython-genutils in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from nbformat>=4.4->nbconvert>=5.5.0->-r docs-requirements.txt (line 4)) (0.2.0)
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Requirement already satisfied: six>=1.11.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from jsonschema!=2.5.0,>=2.4->nbformat>=4.4->nbconvert>=5.5.0->-r docs-requirements.txt (line 4)) (1.16.0)
Requirement already satisfied: pyrsistent>=0.14.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from jsonschema!=2.5.0,>=2.4->nbformat>=4.4->nbconvert>=5.5.0->-r docs-requirements.txt (line 4)) (0.18.0)
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Requirement already satisfied: urllib3<1.27,>=1.21.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from requests>=2.5.0->Sphinx<4.0.0,>=2.0.1->-r docs-requirements.txt (line 3)) (1.26.6)
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Collecting soupsieve>1.2
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Installing collected packages: sphinxcontrib-qthelp, sphinxcontrib-jsmath, sphinxcontrib-htmlhelp, sphinxcontrib-devhelp, sphinxcontrib-applehelp, soupsieve, docutils, Sphinx, beautifulsoup4, 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 beautifulsoup4-4.9.3 docutils-0.16 nbsphinx-0.8.6 pydata-sphinx-theme-0.6.3 soupsieve-2.2.1 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

[rtd-command-info] start-time: 2021-07-15T22:41:36.728041Z, end-time: 2021-07-15T22:41:36.813837Z, duration: 0, exit-code: 0
git rev-parse HEAD
3eb450ad5f4bbd0b2a3db6167ddf3cd655c718c4

[rtd-command-info] start-time: 2021-07-15T22:41:37.040356Z, end-time: 2021-07-15T22:41:37.106395Z, 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",
    "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 = {
    "github_url": "https://github.com/alteryx/evalml",
    "twitter_url": "https://twitter.com/AlteryxOSS",
    "collapse_navigation": True,
    "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", "@"),
}

# autoclass_content = 'both'
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 autodoc_skip_member(app, what, name, obj, skip, options):
    if what == "method" and name.startswith("_"):
        return True
    if what == "attribute" and name.startswith("_"):
        return True
    return skip


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_javascript(
        "https://cdnjs.cloudflare.com/ajax/libs/require.js/2.1.10/require.min.js"
    )
    app.add_stylesheet("style.css")
    app.add_autodocumenter(AccessorCallableDocumenter)
    app.add_autodocumenter(AccessorMethodDocumenter)
    app.connect('autodoc-skip-member', autodoc_skip_member)




###########################################################################
#          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/"),
    ("v0.28.0", "/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': '3eb450ad',
}

# 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/678089/'

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: 2021-07-15T22:41:37.232818Z, end-time: 2021-07-15T22:49:39.047910Z, duration: 481, 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
loading translations [en]... done
making output directory... done
[autosummary] generating autosummary for: api_reference.rst
[autosummary] generating autosummary for: /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.automl.AutoMLSearch.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.automl.automl_algorithm.AutoMLAlgorithm.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.automl.automl_algorithm.IterativeAlgorithm.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.automl.callbacks.log_error_callback.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.automl.callbacks.raise_error_callback.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.automl.callbacks.silent_error_callback.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.automl.get_default_primary_search_objective.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.automl.make_data_splitter.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.automl.search.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.utils.convert_to_seconds.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.utils.drop_rows_with_nans.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.utils.get_importable_subclasses.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, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.utils.infer_feature_types.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.utils.is_all_numeric.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.utils.pad_with_nans.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.utils.save_plot.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.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.score_pipelines.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.AutoMLSearch.train_pipelines.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.GridSearchTuner.propose.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.tuners.RandomSearchTuner.add.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.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.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
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[rtd-command-info] start-time: 2021-07-15T22:49:39.557363Z, end-time: 2021-07-15T22:49:58.647733Z, duration: 19, exit-code: 0
python -m sphinx -b latex -D language=en -d _build/doctrees . _build/latex
Running Sphinx v3.5.4
loading translations [en]... done
making output directory... done
loading pickled environment... done
[autosummary] generating autosummary for: api_reference.rst
building [mo]: targets for 0 po files that are out of date
building [latex]: all documents
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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.exceptions.MethodPropertyNotFoundError generated/evalml.exceptions.PipelineNotFoundError generated/evalml.exceptions.ObjectiveNotFoundError generated/evalml.exceptions.MissingComponentError generated/evalml.exceptions.ComponentNotYetFittedError generated/evalml.exceptions.PipelineNotYetFittedError generated/evalml.exceptions.AutoMLSearchException generated/evalml.exceptions.EnsembleMissingPipelinesError generated/evalml.exceptions.PipelineScoreError generated/evalml.exceptions.DataCheckInitError generated/evalml.exceptions.NullsInColumnWarning generated/evalml.automl.AutoMLSearch generated/methods/evalml.automl.AutoMLSearch.add_to_rankings generated/methods/evalml.automl.AutoMLSearch.describe_pipeline generated/methods/evalml.automl.AutoMLSearch.get_pipeline generated/methods/evalml.automl.AutoMLSearch.load generated/methods/evalml.automl.AutoMLSearch.save generated/methods/evalml.automl.AutoMLSearch.score_pipelines generated/methods/evalml.automl.AutoMLSearch.search generated/methods/evalml.automl.AutoMLSearch.train_pipelines generated/evalml.automl.search generated/evalml.automl.get_default_primary_search_objective generated/evalml.automl.make_data_splitter generated/evalml.automl.automl_algorithm.AutoMLAlgorithm generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.add_result generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.next_batch generated/evalml.automl.automl_algorithm.IterativeAlgorithm generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.add_result generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.next_batch generated/evalml.automl.callbacks.silent_error_callback generated/evalml.automl.callbacks.log_error_callback generated/evalml.automl.callbacks.raise_error_callback generated/evalml.pipelines.PipelineBase generated/methods/evalml.pipelines.PipelineBase.can_tune_threshold_with_objective generated/methods/evalml.pipelines.PipelineBase.clone generated/methods/evalml.pipelines.PipelineBase.compute_estimator_features generated/methods/evalml.pipelines.PipelineBase.create_objectives generated/methods/evalml.pipelines.PipelineBase.describe generated/methods/evalml.pipelines.PipelineBase.fit generated/methods/evalml.pipelines.PipelineBase.get_component generated/methods/evalml.pipelines.PipelineBase.graph generated/methods/evalml.pipelines.PipelineBase.graph_feature_importance generated/methods/evalml.pipelines.PipelineBase.inverse_transform generated/methods/evalml.pipelines.PipelineBase.load generated/methods/evalml.pipelines.PipelineBase.new generated/methods/evalml.pipelines.PipelineBase.predict generated/methods/evalml.pipelines.PipelineBase.save generated/methods/evalml.pipelines.PipelineBase.score generated/evalml.pipelines.ClassificationPipeline generated/methods/evalml.pipelines.ClassificationPipeline.can_tune_threshold_with_objective generated/methods/evalml.pipelines.ClassificationPipeline.clone generated/methods/evalml.pipelines.ClassificationPipeline.compute_estimator_features generated/methods/evalml.pipelines.ClassificationPipeline.create_objectives generated/methods/evalml.pipelines.ClassificationPipeline.describe generated/methods/evalml.pipelines.ClassificationPipeline.fit generated/methods/evalml.pipelines.ClassificationPipeline.get_component generated/methods/evalml.pipelines.ClassificationPipeline.graph generated/methods/evalml.pipelines.ClassificationPipeline.graph_feature_importance generated/methods/evalml.pipelines.ClassificationPipeline.inverse_transform generated/methods/evalml.pipelines.ClassificationPipeline.load generated/methods/evalml.pipelines.ClassificationPipeline.new generated/methods/evalml.pipelines.ClassificationPipeline.predict generated/methods/evalml.pipelines.ClassificationPipeline.predict_proba generated/methods/evalml.pipelines.ClassificationPipeline.save generated/methods/evalml.pipelines.ClassificationPipeline.score generated/evalml.pipelines.BinaryClassificationPipeline generated/methods/evalml.pipelines.BinaryClassificationPipeline.can_tune_threshold_with_objective generated/methods/evalml.pipelines.BinaryClassificationPipeline.clone generated/methods/evalml.pipelines.BinaryClassificationPipeline.compute_estimator_features generated/methods/evalml.pipelines.BinaryClassificationPipeline.create_objectives generated/methods/evalml.pipelines.BinaryClassificationPipeline.describe generated/methods/evalml.pipelines.BinaryClassificationPipeline.fit generated/methods/evalml.pipelines.BinaryClassificationPipeline.get_component generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph_feature_importance generated/methods/evalml.pipelines.BinaryClassificationPipeline.inverse_transform generated/methods/evalml.pipelines.BinaryClassificationPipeline.load generated/methods/evalml.pipelines.BinaryClassificationPipeline.new generated/methods/evalml.pipelines.BinaryClassificationPipeline.optimize_threshold generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict_proba generated/methods/evalml.pipelines.BinaryClassificationPipeline.save generated/methods/evalml.pipelines.BinaryClassificationPipeline.score generated/evalml.pipelines.MulticlassClassificationPipeline generated/methods/evalml.pipelines.MulticlassClassificationPipeline.can_tune_threshold_with_objective generated/methods/evalml.pipelines.MulticlassClassificationPipeline.clone generated/methods/evalml.pipelines.MulticlassClassificationPipeline.compute_estimator_features generated/methods/evalml.pipelines.MulticlassClassificationPipeline.create_objectives generated/methods/evalml.pipelines.MulticlassClassificationPipeline.describe generated/methods/evalml.pipelines.MulticlassClassificationPipeline.fit generated/methods/evalml.pipelines.MulticlassClassificationPipeline.get_component generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph_feature_importance generated/methods/evalml.pipelines.MulticlassClassificationPipeline.inverse_transform generated/methods/evalml.pipelines.MulticlassClassificationPipeline.load generated/methods/evalml.pipelines.MulticlassClassificationPipeline.new 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.can_tune_threshold_with_objective generated/methods/evalml.pipelines.RegressionPipeline.clone generated/methods/evalml.pipelines.RegressionPipeline.compute_estimator_features generated/methods/evalml.pipelines.RegressionPipeline.create_objectives 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.inverse_transform generated/methods/evalml.pipelines.RegressionPipeline.load generated/methods/evalml.pipelines.RegressionPipeline.new generated/methods/evalml.pipelines.RegressionPipeline.predict generated/methods/evalml.pipelines.RegressionPipeline.save generated/methods/evalml.pipelines.RegressionPipeline.score generated/evalml.pipelines.TimeSeriesClassificationPipeline generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.can_tune_threshold_with_objective generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.clone generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.compute_estimator_features generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.create_objectives generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.describe generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.fit generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.get_component generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.graph generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.graph_feature_importance generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.inverse_transform generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.load generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.new generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.predict generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.predict_proba generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.save generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.score generated/evalml.pipelines.TimeSeriesBinaryClassificationPipeline generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.can_tune_threshold_with_objective generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.clone generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.compute_estimator_features generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.create_objectives generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.describe generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.fit generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.get_component generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.graph generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.graph_feature_importance generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.inverse_transform generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.load generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.new generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.optimize_threshold generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.predict generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.predict_proba generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.save generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.score generated/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.can_tune_threshold_with_objective generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.clone generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.compute_estimator_features generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.create_objectives generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.describe generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.fit generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.get_component generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.graph generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.graph_feature_importance generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.inverse_transform generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.load generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.new generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.predict generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.predict_proba generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.save generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.score generated/evalml.pipelines.TimeSeriesRegressionPipeline generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.can_tune_threshold_with_objective generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.clone generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.compute_estimator_features generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.create_objectives generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.describe generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.fit generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.get_component generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.graph generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.graph_feature_importance generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.inverse_transform generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.load generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.new generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.predict generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.save generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.score generated/evalml.pipelines.utils.make_pipeline generated/evalml.pipelines.utils.generate_pipeline_code generated/evalml.pipelines.components.ComponentBase 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.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.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.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.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.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.TargetEncoder generated/methods/evalml.pipelines.components.TargetEncoder.clone generated/methods/evalml.pipelines.components.TargetEncoder.describe generated/methods/evalml.pipelines.components.TargetEncoder.fit generated/methods/evalml.pipelines.components.TargetEncoder.fit_transform generated/methods/evalml.pipelines.components.TargetEncoder.get_feature_names generated/methods/evalml.pipelines.components.TargetEncoder.load generated/methods/evalml.pipelines.components.TargetEncoder.save generated/methods/evalml.pipelines.components.TargetEncoder.transform generated/evalml.pipelines.components.PerColumnImputer generated/methods/evalml.pipelines.components.PerColumnImputer.clone generated/methods/evalml.pipelines.components.PerColumnImputer.describe generated/methods/evalml.pipelines.components.PerColumnImputer.fit generated/methods/evalml.pipelines.components.PerColumnImputer.fit_transform generated/methods/evalml.pipelines.components.PerColumnImputer.load generated/methods/evalml.pipelines.components.PerColumnImputer.save generated/methods/evalml.pipelines.components.PerColumnImputer.transform generated/evalml.pipelines.components.Imputer generated/methods/evalml.pipelines.components.Imputer.clone generated/methods/evalml.pipelines.components.Imputer.describe generated/methods/evalml.pipelines.components.Imputer.fit generated/methods/evalml.pipelines.components.Imputer.fit_transform generated/methods/evalml.pipelines.components.Imputer.load generated/methods/evalml.pipelines.components.Imputer.save generated/methods/evalml.pipelines.components.Imputer.transform generated/evalml.pipelines.components.SimpleImputer generated/methods/evalml.pipelines.components.SimpleImputer.clone generated/methods/evalml.pipelines.components.SimpleImputer.describe generated/methods/evalml.pipelines.components.SimpleImputer.fit generated/methods/evalml.pipelines.components.SimpleImputer.fit_transform generated/methods/evalml.pipelines.components.SimpleImputer.load generated/methods/evalml.pipelines.components.SimpleImputer.save generated/methods/evalml.pipelines.components.SimpleImputer.transform generated/evalml.pipelines.components.StandardScaler generated/methods/evalml.pipelines.components.StandardScaler.clone generated/methods/evalml.pipelines.components.StandardScaler.describe generated/methods/evalml.pipelines.components.StandardScaler.fit generated/methods/evalml.pipelines.components.StandardScaler.fit_transform generated/methods/evalml.pipelines.components.StandardScaler.load generated/methods/evalml.pipelines.components.StandardScaler.save generated/methods/evalml.pipelines.components.StandardScaler.transform generated/evalml.pipelines.components.RFRegressorSelectFromModel generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.clone generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.describe generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit_transform generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.get_names generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.load generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.save generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.transform generated/evalml.pipelines.components.RFClassifierSelectFromModel generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.clone generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.describe generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit_transform generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.get_names generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.load generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.save generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.transform generated/evalml.pipelines.components.DropNullColumns generated/methods/evalml.pipelines.components.DropNullColumns.clone generated/methods/evalml.pipelines.components.DropNullColumns.describe generated/methods/evalml.pipelines.components.DropNullColumns.fit generated/methods/evalml.pipelines.components.DropNullColumns.fit_transform generated/methods/evalml.pipelines.components.DropNullColumns.load generated/methods/evalml.pipelines.components.DropNullColumns.save generated/methods/evalml.pipelines.components.DropNullColumns.transform generated/evalml.pipelines.components.DateTimeFeaturizer generated/methods/evalml.pipelines.components.DateTimeFeaturizer.clone generated/methods/evalml.pipelines.components.DateTimeFeaturizer.describe generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit_transform generated/methods/evalml.pipelines.components.DateTimeFeaturizer.get_feature_names generated/methods/evalml.pipelines.components.DateTimeFeaturizer.load generated/methods/evalml.pipelines.components.DateTimeFeaturizer.save generated/methods/evalml.pipelines.components.DateTimeFeaturizer.transform generated/evalml.pipelines.components.TextFeaturizer generated/methods/evalml.pipelines.components.TextFeaturizer.clone generated/methods/evalml.pipelines.components.TextFeaturizer.describe generated/methods/evalml.pipelines.components.TextFeaturizer.fit generated/methods/evalml.pipelines.components.TextFeaturizer.fit_transform generated/methods/evalml.pipelines.components.TextFeaturizer.load generated/methods/evalml.pipelines.components.TextFeaturizer.save generated/methods/evalml.pipelines.components.TextFeaturizer.transform generated/evalml.pipelines.components.DelayedFeatureTransformer generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.clone generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.describe generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.fit generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.fit_transform generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.load generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.save generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.transform generated/evalml.pipelines.components.DFSTransformer generated/methods/evalml.pipelines.components.DFSTransformer.clone generated/methods/evalml.pipelines.components.DFSTransformer.describe generated/methods/evalml.pipelines.components.DFSTransformer.fit generated/methods/evalml.pipelines.components.DFSTransformer.fit_transform generated/methods/evalml.pipelines.components.DFSTransformer.load generated/methods/evalml.pipelines.components.DFSTransformer.save generated/methods/evalml.pipelines.components.DFSTransformer.transform generated/evalml.pipelines.components.PolynomialDetrender generated/methods/evalml.pipelines.components.PolynomialDetrender.clone generated/methods/evalml.pipelines.components.PolynomialDetrender.describe generated/methods/evalml.pipelines.components.PolynomialDetrender.fit generated/methods/evalml.pipelines.components.PolynomialDetrender.fit_transform generated/methods/evalml.pipelines.components.PolynomialDetrender.inverse_transform generated/methods/evalml.pipelines.components.PolynomialDetrender.load generated/methods/evalml.pipelines.components.PolynomialDetrender.save 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add_cus_dep( "glo", "gls", 0, "makeglo" );
sub makeglo {
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Chapter 3.
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[]\T1/ptm/m/n/10 Be-cause the spam/ham la-bels are bi-nary, we will use \T1/pcr
/m/n/10 AutoMLSearch(X_train=X_train,
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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 Sim-i-larly, if you'd like to score one or more pipelines on a
 par-tic-u-lar dataset, you can use the

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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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[80] [81]

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Chapter 5.

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Chapter 6.
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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/
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Chapter 1.
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Chapter 2.
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[]|\T1/pcr/m/n/9 **************************************************************
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Chapter 3.
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[]\T1/ptm/m/n/10 Be-cause the spam/ham la-bels are bi-nary, we will use \T1/pcr
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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 Sim-i-larly, if you'd like to score one or more pipelines on a
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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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Chapter 5.
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[]\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y\T1/ptm/m/n/10 , \T1/ptm/m
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Chapter 6.
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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 ,
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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
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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/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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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
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[]\T1/pcr/m/n/10 pipelines/utils.save_pipeline \T1/ptm/m/n/10 and \T1/pcr/m/n/1
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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 add() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.tuners.RandomSear
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Chapter 5.
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Chapter 6.
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