Read the Docs build information
Build id: 546257
Project: feature-labs-inc-evalml
Version: latest
Commit: 82f21f1b8c2a5c97bb111e58e661029fdbf3fcdd
Date: 2021-01-29T19:51:07.754099Z
State: finished
Success: True


[rtd-command-info] start-time: 2021-01-29T19:51:09.670354Z, end-time: 2021-01-29T19:51:11.735650Z, duration: 2, 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: 2021-01-29T19:51:35.010350Z, end-time: 2021-01-29T19:51:35.167350Z, 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 82f21f1b Add prophet regressor (#1704)

[rtd-command-info] start-time: 2021-01-29T19:51:35.010350Z, end-time: 2021-01-29T19:51:35.167350Z, 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 82f21f1b Add prophet regressor (#1704)

[rtd-command-info] start-time: 2021-01-29T19:51:40.846428Z, end-time: 2021-01-29T19:51:40.920756Z, duration: 0, exit-code: 0
git clean -d -f -f


[rtd-command-info] start-time: 2021-01-29T19:51:53.346093Z, end-time: 2021-01-29T19:51:57.416547Z, 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/latest/bin/python3.8
Also creating executable in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/bin/python
Installing setuptools, pip, wheel...
done.

[rtd-command-info] start-time: 2021-01-29T19:51:57.589366Z, end-time: 2021-01-29T19:51:58.599781Z, duration: 1, exit-code: 0
python -m pip install --upgrade --no-cache-dir pip
Requirement already satisfied: pip in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (21.0)
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[rtd-command-info] start-time: 2021-01-29T19:51:58.828529Z, end-time: 2021-01-29T19:52:25.595467Z, duration: 26, 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 six commonmark==0.8.1 recommonmark==0.5.0 sphinx<2 sphinx-rtd-theme<0.5 readthedocs-sphinx-ext<2.2
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Successfully built mock pillow future
Installing collected packages: urllib3, sphinxcontrib-serializinghtml, pytz, pyparsing, MarkupSafe, idna, chardet, certifi, sphinxcontrib-websupport, snowballstemmer, six, setuptools, requests, Pygments, packaging, Jinja2, imagesize, future, docutils, babel, alabaster, sphinx, commonmark, sphinx-rtd-theme, recommonmark, readthedocs-sphinx-ext, pillow, mock
  Attempting uninstall: setuptools
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Successfully installed Jinja2-2.11.2 MarkupSafe-1.1.1 Pygments-2.7.4 alabaster-0.7.12 babel-2.9.0 certifi-2020.12.5 chardet-4.0.0 commonmark-0.8.1 docutils-0.14 future-0.18.2 idna-2.10 imagesize-1.2.0 mock-1.0.1 packaging-20.8 pillow-5.4.1 pyparsing-2.4.7 pytz-2020.5 readthedocs-sphinx-ext-2.1.3 recommonmark-0.5.0 requests-2.25.1 setuptools-41.0.1 six-1.15.0 snowballstemmer-2.1.0 sphinx-1.8.5 sphinx-rtd-theme-0.4.3 sphinxcontrib-serializinghtml-1.1.4 sphinxcontrib-websupport-1.2.4 urllib3-1.26.3

[rtd-command-info] start-time: 2021-01-29T19:52:26.820190Z, end-time: 2021-01-29T19:52:28.509819Z, duration: 1, exit-code: 0
python -m pip install --exists-action=w --no-cache-dir -r docs/readthedocs-requirements.txt
Collecting setuptools>=45.1.0
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Installing collected packages: setuptools
  Attempting uninstall: setuptools
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[rtd-command-info] start-time: 2021-01-29T19:52:29.325028Z, end-time: 2021-01-29T19:52:36.566618Z, duration: 7, exit-code: 0
python -m pip install --exists-action=w --no-cache-dir -r docs-requirements.txt
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[rtd-command-info] start-time: 2021-01-29T19:52:37.017896Z, end-time: 2021-01-29T19:54:53.895411Z, duration: 136, exit-code: 0
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  Downloading pandocfilters-1.4.2.tar.gz (14 kB)
Requirement already satisfied: nest-asyncio in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from nbclient<0.6.0,>=0.5.0->nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.18.0) (1.5.1)
Collecting nest-asyncio
  Downloading nest_asyncio-1.5.1-py3-none-any.whl (5.0 kB)
  Downloading nest_asyncio-1.5.0-py3-none-any.whl (5.0 kB)
Requirement already satisfied: async-generator in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from nbclient<0.6.0,>=0.5.0->nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.18.0) (1.10)
Collecting async-generator
  Downloading async_generator-1.10-py3-none-any.whl (18 kB)
  Downloading async_generator-1.9-py3-none-any.whl (18 kB)
Requirement already satisfied: webencodings in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from bleach->nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.18.0) (0.5.1)
Collecting webencodings
  Downloading webencodings-0.5.1-py2.py3-none-any.whl (11 kB)
  Downloading webencodings-0.5.tar.gz (9.5 kB)
Requirement already satisfied: packaging in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages (from bleach->nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.18.0) (20.8)
Collecting packaging
  Downloading packaging-20.8-py2.py3-none-any.whl (39 kB)
  Downloading packaging-20.7-py2.py3-none-any.whl (35 kB)
Collecting llvmlite<0.36,>=0.35.0
  Downloading llvmlite-0.35.0-cp38-cp38-manylinux2010_x86_64.whl (25.3 MB)
Building wheels for collected packages: evalml, nltk, requirements-parser, retrying, shap, fbprophet, holidays, pymeeus
  Building wheel for evalml (setup.py): started
  Building wheel for evalml (setup.py): finished with status 'done'
  Created wheel for evalml: filename=evalml-0.18.0-py3-none-any.whl size=6099379 sha256=48fad3b6a724eac651b936c0efc17600868eab3714fa863ca73a867c1eee931b
  Stored in directory: /tmp/pip-ephem-wheel-cache-lptm2ent/wheels/46/d8/38/4b637ddfe642e0ae69adb3c86758f65c78fbb617611ecc4c0f
  Building wheel for nltk (setup.py): started
  Building wheel for nltk (setup.py): finished with status 'done'
  Created wheel for nltk: filename=nltk-3.5-py3-none-any.whl size=1434676 sha256=dc8220cbb0b690b438b6234a9fb40d9e3210dc35470c44057eed05da5fd4a77f
  Stored in directory: /tmp/pip-ephem-wheel-cache-lptm2ent/wheels/ff/d5/7b/f1fb4e1e1603b2f01c2424dd60fbcc50c12ef918bafc44b155
  Building wheel for requirements-parser (setup.py): started
  Building wheel for requirements-parser (setup.py): finished with status 'done'
  Created wheel for requirements-parser: filename=requirements_parser-0.2.0-py3-none-any.whl size=7655 sha256=291fede4785ce6489fe5a9eeef96572097980427a06bd62bc5ebec6eedb2466c
  Stored in directory: /tmp/pip-ephem-wheel-cache-lptm2ent/wheels/12/d2/88/6e706d3b6874a2948967d0838eb0e0224a8a43b4eb273cf3f3
  Building wheel for retrying (setup.py): started
  Building wheel for retrying (setup.py): finished with status 'done'
  Created wheel for retrying: filename=retrying-1.3.3-py3-none-any.whl size=11429 sha256=e6cbc6c58b32e42cf0ec6f7b5fb09634a07330fcbd6bd0b475221112debac528
  Stored in directory: /tmp/pip-ephem-wheel-cache-lptm2ent/wheels/c4/a7/48/0a434133f6d56e878ca511c0e6c38326907c0792f67b476e56
  Building wheel for shap (setup.py): started
  Building wheel for shap (setup.py): finished with status 'done'
  Created wheel for shap: filename=shap-0.38.1-cp38-cp38-linux_x86_64.whl size=497676 sha256=adc0973d354dac0b12f8358a4b972c033c3f0122b56a5d138a37ca7e7ba68d67
  Stored in directory: /tmp/pip-ephem-wheel-cache-lptm2ent/wheels/87/7c/3f/1012132e5a8db6b4e125e64be0fd96f581803e101b0403c65f
  Building wheel for fbprophet (setup.py): started
  Building wheel for fbprophet (setup.py): finished with status 'error'
  ERROR: Command errored out with exit status 1:
   command: /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/bin/python -u -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'/tmp/pip-install-x8pk7129/fbprophet_fb5ce92518ce4003a9b281e6b904e714/setup.py'"'"'; __file__='"'"'/tmp/pip-install-x8pk7129/fbprophet_fb5ce92518ce4003a9b281e6b904e714/setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(__file__);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' bdist_wheel -d /tmp/pip-wheel-69ekr75t
       cwd: /tmp/pip-install-x8pk7129/fbprophet_fb5ce92518ce4003a9b281e6b904e714/
  Complete output (40 lines):
  running bdist_wheel
  running build
  running build_py
  creating build
  creating build/lib
  creating build/lib/fbprophet
  creating build/lib/fbprophet/stan_model
  Traceback (most recent call last):
    File "<string>", line 1, in <module>
    File "/tmp/pip-install-x8pk7129/fbprophet_fb5ce92518ce4003a9b281e6b904e714/setup.py", line 122, in <module>
      setup(
    File "/home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages/setuptools/__init__.py", line 153, in setup
      return distutils.core.setup(**attrs)
    File "/home/docs/.pyenv/versions/3.8.6/lib/python3.8/distutils/core.py", line 148, in setup
      dist.run_commands()
    File "/home/docs/.pyenv/versions/3.8.6/lib/python3.8/distutils/dist.py", line 966, in run_commands
      self.run_command(cmd)
    File "/home/docs/.pyenv/versions/3.8.6/lib/python3.8/distutils/dist.py", line 985, in run_command
      cmd_obj.run()
    File "/home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages/wheel/bdist_wheel.py", line 299, in run
      self.run_command('build')
    File "/home/docs/.pyenv/versions/3.8.6/lib/python3.8/distutils/cmd.py", line 313, in run_command
      self.distribution.run_command(command)
    File "/home/docs/.pyenv/versions/3.8.6/lib/python3.8/distutils/dist.py", line 985, in run_command
      cmd_obj.run()
    File "/home/docs/.pyenv/versions/3.8.6/lib/python3.8/distutils/command/build.py", line 135, in run
      self.run_command(cmd_name)
    File "/home/docs/.pyenv/versions/3.8.6/lib/python3.8/distutils/cmd.py", line 313, in run_command
      self.distribution.run_command(command)
    File "/home/docs/.pyenv/versions/3.8.6/lib/python3.8/distutils/dist.py", line 985, in run_command
      cmd_obj.run()
    File "/tmp/pip-install-x8pk7129/fbprophet_fb5ce92518ce4003a9b281e6b904e714/setup.py", line 48, in run
      build_models(target_dir)
    File "/tmp/pip-install-x8pk7129/fbprophet_fb5ce92518ce4003a9b281e6b904e714/setup.py", line 36, in build_models
      from fbprophet.models import StanBackendEnum
    File "/tmp/pip-install-x8pk7129/fbprophet_fb5ce92518ce4003a9b281e6b904e714/fbprophet/__init__.py", line 8, in <module>
      from fbprophet.forecaster import Prophet
    File "/tmp/pip-install-x8pk7129/fbprophet_fb5ce92518ce4003a9b281e6b904e714/fbprophet/forecaster.py", line 14, in <module>
      import numpy as np
  ModuleNotFoundError: No module named 'numpy'
  ----------------------------------------
  ERROR: Failed building wheel for fbprophet
  Running setup.py clean for fbprophet
  Building wheel for holidays (setup.py): started
  Building wheel for holidays (setup.py): finished with status 'done'
  Created wheel for holidays: filename=holidays-0.10.4-py3-none-any.whl size=124775 sha256=5bf00d85374b0b945d7ff7e672445c61c2e1369e39518572168b2810cac2049c
  Stored in directory: /tmp/pip-ephem-wheel-cache-lptm2ent/wheels/ef/70/9e/34eb54fef725c637dc8ce508e323021fd709354951abe622c4
  Building wheel for pymeeus (setup.py): started
  Building wheel for pymeeus (setup.py): finished with status 'done'
  Created wheel for pymeeus: filename=PyMeeus-0.3.7-py3-none-any.whl size=702877 sha256=0d5b2848cdd4bf05cea2f17a0b9823e025f638caceae6bcbdb53c0176f2598fe
  Stored in directory: /tmp/pip-ephem-wheel-cache-lptm2ent/wheels/5a/68/50/d989a005ecd4f58a7922bede25ff7e391d66395a3090acf97a
Successfully built evalml nltk requirements-parser retrying shap holidays pymeeus
Failed to build fbprophet
Installing collected packages: wcwidth, pyzmq, ptyprocess, parso, pycparser, prompt-toolkit, pickleshare, pexpect, jedi, decorator, backcall, toolz, pyyaml, pytz, numpy, locket, ipython, heapdict, cffi, zict, terminado, tblib, sortedcontainers, Send2Trash, pymeeus, psutil, prometheus-client, partd, pandas, msgpack, ipykernel, fsspec, dask, cloudpickle, click, argon2-cffi, tqdm, threadpoolctl, scipy, retrying, regex, pillow, patsy, notebook, llvmlite, korean-lunar-calendar, kiwisolver, joblib, ephem, distributed, Cython, cycler, convertdate, widgetsnbextension, statsmodels, slicer, setuptools-git, scikit-learn, pystan, pyarrow, pyaml, plotly, numba, nltk, matplotlib, LunarCalendar, jupyterlab-widgets, holidays, graphviz, featuretools, cmdstanpy, xgboost, woodwork, texttable, shap, seaborn, scikit-optimize, requirements-parser, nlp-primitives, networkx, lightgbm, kaleido, ipywidgets, fbprophet, colorama, category-encoders, catboost, evalml
  Attempting uninstall: pyzmq
    Found existing installation: pyzmq 22.0.2
    Uninstalling pyzmq-22.0.2:
      Successfully uninstalled pyzmq-22.0.2
  Attempting uninstall: pytz
    Found existing installation: pytz 2020.5
    Uninstalling pytz-2020.5:
      Successfully uninstalled pytz-2020.5
  Attempting uninstall: pillow
    Found existing installation: Pillow 5.4.1
    Uninstalling Pillow-5.4.1:
      Successfully uninstalled Pillow-5.4.1
    Running setup.py install for fbprophet: started
    Running setup.py install for fbprophet: finished with status 'done'
  DEPRECATION: fbprophet was installed using the legacy 'setup.py install' method, because a wheel could not be built for it. A possible replacement is to fix the wheel build issue reported above. You can find discussion regarding this at https://github.com/pypa/pip/issues/8368.
Successfully installed Cython-0.29.21 LunarCalendar-0.0.9 Send2Trash-1.5.0 argon2-cffi-20.1.0 backcall-0.2.0 catboost-0.24.4 category-encoders-2.2.2 cffi-1.14.4 click-7.1.2 cloudpickle-1.6.0 cmdstanpy-0.9.5 colorama-0.4.4 convertdate-2.2.0 cycler-0.10.0 dask-2021.1.1 decorator-4.4.2 distributed-2021.1.1 ephem-3.7.7.1 evalml-0.18.0 fbprophet-0.7.1 featuretools-0.23.0 fsspec-0.8.5 graphviz-0.16 heapdict-1.0.1 holidays-0.10.4 ipykernel-5.4.3 ipython-7.19.0 ipywidgets-7.6.3 jedi-0.18.0 joblib-1.0.0 jupyterlab-widgets-1.0.0 kaleido-0.1.0 kiwisolver-1.3.1 korean-lunar-calendar-0.2.1 lightgbm-3.0.0 llvmlite-0.35.0 locket-0.2.1 matplotlib-3.3.4 msgpack-1.0.2 networkx-2.5 nlp-primitives-1.1.0 nltk-3.5 notebook-6.2.0 numba-0.52.0 numpy-1.19.5 pandas-1.1.5 parso-0.8.1 partd-1.1.0 patsy-0.5.1 pexpect-4.8.0 pickleshare-0.7.5 pillow-8.1.0 plotly-4.14.3 prometheus-client-0.9.0 prompt-toolkit-3.0.14 psutil-5.8.0 ptyprocess-0.7.0 pyaml-20.4.0 pyarrow-3.0.0 pycparser-2.20 pymeeus-0.3.7 pystan-2.19.1.1 pytz-2019.3 pyyaml-5.4.1 pyzmq-21.0.2 regex-2020.11.13 requirements-parser-0.2.0 retrying-1.3.3 scikit-learn-0.24.1 scikit-optimize-0.8.1 scipy-1.6.0 seaborn-0.11.1 setuptools-git-1.2 shap-0.38.1 slicer-0.0.7 sortedcontainers-2.3.0 statsmodels-0.12.1 tblib-1.7.0 terminado-0.9.2 texttable-1.6.3 threadpoolctl-2.1.0 toolz-0.11.1 tqdm-4.56.0 wcwidth-0.2.5 widgetsnbextension-3.5.1 woodwork-0.0.7 xgboost-1.2.1 zict-2.0.0

[rtd-command-info] start-time: 2021-01-29T19:54:57.337561Z, end-time: 2021-01-29T19:54:57.417689Z, 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', '@')
}

#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 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': "latest",
    'version_slug': "latest",
    'MEDIA_URL': "https://media.readthedocs.com/media/",
    'STATIC_URL': "https://assets.readthedocs.com/",
    'PRODUCTION_DOMAIN': "readthedocs.com",
    'versions': [
    ("latest", "/en/latest/"),
    ("stable", "/en/stable/"),
    ("v0.18.0", "/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/"),
    ("gs_add_theme_options", "/en/gs_add_theme_options/"),
    ("1722_open_graph_info", "/en/1722_open_graph_info/"),
    ],
    'downloads': [ 
    ("pdf", "//evalml.alteryx.com/_/downloads/en/latest/pdf/"),
    ],
    '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': '82f21f1b',
}

# 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/546257/'

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: 2021-01-29T19:54:57.638281Z, end-time: 2021-01-29T20:06:35.024810Z, duration: 697, exit-code: 0
python -m sphinx -T -E -W --keep-going -b readthedocs -d _build/doctrees-readthedocs -D language=en . _build/html
Running Sphinx v3.4.3
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/latest/docs/source/generated/evalml.automl.AutoMLSearch.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.automl_algorithm.AutoMLAlgorithm.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.automl_algorithm.IterativeAlgorithm.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.callbacks.log_and_save_error_callback.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.callbacks.log_error_callback.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.callbacks.raise_and_save_error_callback.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.callbacks.raise_error_callback.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.callbacks.silent_error_callback.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.get_default_primary_search_objective.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.make_data_splitter.rst, ..., /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.tuners.SKOptTuner.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.tuners.Tuner.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.convert_to_seconds.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.drop_rows_with_nans.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.get_random_seed.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.get_random_state.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.import_or_raise.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.infer_feature_types.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.pad_with_nans.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.save_plot.rst
[autosummary] generating autosummary for: /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.add_to_rankings.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.describe_pipeline.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.get_pipeline.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.load.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.save.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.search.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.add_result.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.next_batch.rst, ..., /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.RandomSearchTuner.is_search_space_exhausted.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.RandomSearchTuner.propose.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.SKOptTuner.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.SKOptTuner.add.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.SKOptTuner.is_search_space_exhausted.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.SKOptTuner.propose.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.Tuner.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.Tuner.add.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.Tuner.is_search_space_exhausted.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.Tuner.propose.rst
building [mo]: targets for 0 po files that are out of date
building [readthedocs]: targets for 19 source files that are out of date
updating environment: [new config] 1102 added, 0 changed, 0 removed
reading sources... [  0%] api_reference
reading sources... [  0%] demos/cost_benefit_matrix
INFO:traitlets:Executing notebook with kernel: python3
/home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages/joblib/externals/loky/backend/resource_tracker.py:303: UserWarning: resource_tracker: /tmp/joblib_memmapping_folder_495_611fa0fdef134c0083c43328268ec644_b4758f4e5ba44332ba160664e3d28804/495-139938174741952-874e42bbb8fb4c638562d66bfdd408d7.pkl: FileNotFoundError(2, 'No such file or directory')
  warnings.warn(
/home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages/joblib/externals/loky/backend/resource_tracker.py:303: UserWarning: resource_tracker: /tmp/joblib_memmapping_folder_495_611fa0fdef134c0083c43328268ec644_10d76919f6ab465098f653c18de9624d/495-139938174741952-e784c121a77e47179c1a5b7503f1534a.pkl: FileNotFoundError(2, 'No such file or directory')
  warnings.warn(
/home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages/joblib/externals/loky/backend/resource_tracker.py:303: UserWarning: resource_tracker: /tmp/joblib_memmapping_folder_495_611fa0fdef134c0083c43328268ec644_a976a498bd4947ee89381d1467ef6fee/495-139938174741952-66b69dcdde094570a5e559a1f656030d.pkl: FileNotFoundError(2, 'No such file or directory')
  warnings.warn(
/home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages/joblib/externals/loky/backend/resource_tracker.py:303: UserWarning: resource_tracker: /tmp/joblib_memmapping_folder_495_611fa0fdef134c0083c43328268ec644_24d7cf0299374ed5b4119252d3a87dc6/495-139938174741952-156c8ddef3f346868583fd72d11e0785.pkl: FileNotFoundError(2, 'No such file or directory')
  warnings.warn(
/home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages/joblib/externals/loky/backend/resource_tracker.py:303: UserWarning: resource_tracker: /tmp/joblib_memmapping_folder_495_611fa0fdef134c0083c43328268ec644_ea116c25f453425f8b6a4eb81f2cd3a7/495-139938174741952-22f27bacd24941b0b9794d79b3dd81c0.pkl: FileNotFoundError(2, 'No such file or directory')
  warnings.warn(
/home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.8/site-packages/joblib/externals/loky/backend/resource_tracker.py:303: UserWarning: resource_tracker: /tmp/joblib_memmapping_folder_495_611fa0fdef134c0083c43328268ec644_d691509405ed41f3a698aaa7ff290c94/495-139938174741952-bb89a6c62bc444a9aa2f1ba19bb2b949.pkl: FileNotFoundError(2, 'No such file or directory')
  warnings.warn(
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[rtd-command-info] start-time: 2021-01-29T20:06:35.757693Z, end-time: 2021-01-29T20:16:15.903951Z, duration: 580, exit-code: 0
python -m sphinx -b latex -D language=en -d _build/doctrees . _build/latex
Running Sphinx v3.4.3
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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.IllFormattedClassNameError 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.__init__ generated/methods/evalml.automl.AutoMLSearch.add_to_rankings generated/methods/evalml.automl.AutoMLSearch.describe_pipeline generated/methods/evalml.automl.AutoMLSearch.get_pipeline generated/methods/evalml.automl.AutoMLSearch.load generated/methods/evalml.automl.AutoMLSearch.save generated/methods/evalml.automl.AutoMLSearch.search generated/evalml.automl.get_default_primary_search_objective generated/evalml.automl.make_data_splitter generated/evalml.automl.automl_algorithm.AutoMLAlgorithm 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generated/methods/evalml.pipelines.ClassificationPipeline.get_component generated/methods/evalml.pipelines.ClassificationPipeline.graph generated/methods/evalml.pipelines.ClassificationPipeline.graph_feature_importance generated/methods/evalml.pipelines.ClassificationPipeline.load generated/methods/evalml.pipelines.ClassificationPipeline.predict generated/methods/evalml.pipelines.ClassificationPipeline.predict_proba generated/methods/evalml.pipelines.ClassificationPipeline.save generated/methods/evalml.pipelines.ClassificationPipeline.score generated/evalml.pipelines.BinaryClassificationPipeline generated/methods/evalml.pipelines.BinaryClassificationPipeline.__init__ generated/methods/evalml.pipelines.BinaryClassificationPipeline.clone generated/methods/evalml.pipelines.BinaryClassificationPipeline.compute_estimator_features generated/methods/evalml.pipelines.BinaryClassificationPipeline.describe generated/methods/evalml.pipelines.BinaryClassificationPipeline.fit generated/methods/evalml.pipelines.BinaryClassificationPipeline.get_component generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph_feature_importance generated/methods/evalml.pipelines.BinaryClassificationPipeline.load generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict_proba generated/methods/evalml.pipelines.BinaryClassificationPipeline.save generated/methods/evalml.pipelines.BinaryClassificationPipeline.score generated/evalml.pipelines.MulticlassClassificationPipeline generated/methods/evalml.pipelines.MulticlassClassificationPipeline.__init__ generated/methods/evalml.pipelines.MulticlassClassificationPipeline.clone generated/methods/evalml.pipelines.MulticlassClassificationPipeline.compute_estimator_features generated/methods/evalml.pipelines.MulticlassClassificationPipeline.describe 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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.TimeSeriesClassificationPipeline generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.__init__ generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.clone generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.compute_estimator_features generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.describe 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generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.compute_estimator_features 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.load 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.__init__ generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.clone generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.compute_estimator_features 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.load 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.__init__ generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.clone generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.compute_estimator_features 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.load generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.predict generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.save generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.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 generated/methods/evalml.pipelines.BaselineMulticlassPipeline.get_component generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph_feature_importance generated/methods/evalml.pipelines.BaselineMulticlassPipeline.load generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict_proba generated/methods/evalml.pipelines.BaselineMulticlassPipeline.save generated/methods/evalml.pipelines.BaselineMulticlassPipeline.score generated/evalml.pipelines.ModeBaselineBinaryPipeline generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.__init__ generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.clone generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.compute_estimator_features generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.describe generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.fit generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.get_component generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph_feature_importance generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.load generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict_proba generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.save generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.score generated/evalml.pipelines.ModeBaselineMulticlassPipeline generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.__init__ generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.clone generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.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 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generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.graph_feature_importance generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.load generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.predict generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.save generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.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 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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 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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.__init__ generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.clone generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.describe generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit_transform generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.get_names 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generated/methods/evalml.objectives.BalancedAccuracyMulticlass.calculate_percent_difference generated/methods/evalml.objectives.BalancedAccuracyMulticlass.is_defined_for_problem_type generated/methods/evalml.objectives.BalancedAccuracyMulticlass.objective_function generated/methods/evalml.objectives.BalancedAccuracyMulticlass.score generated/methods/evalml.objectives.BalancedAccuracyMulticlass.validate_inputs generated/evalml.objectives.F1 generated/methods/evalml.objectives.F1.__init__ generated/methods/evalml.objectives.F1.calculate_percent_difference generated/methods/evalml.objectives.F1.decision_function generated/methods/evalml.objectives.F1.is_defined_for_problem_type generated/methods/evalml.objectives.F1.objective_function generated/methods/evalml.objectives.F1.optimize_threshold generated/methods/evalml.objectives.F1.score generated/methods/evalml.objectives.F1.validate_inputs generated/evalml.objectives.F1Micro generated/methods/evalml.objectives.F1Micro.__init__ generated/methods/evalml.objectives.F1Micro.calculate_percent_difference generated/methods/evalml.objectives.F1Micro.is_defined_for_problem_type generated/methods/evalml.objectives.F1Micro.objective_function generated/methods/evalml.objectives.F1Micro.score generated/methods/evalml.objectives.F1Micro.validate_inputs generated/evalml.objectives.F1Macro generated/methods/evalml.objectives.F1Macro.__init__ generated/methods/evalml.objectives.F1Macro.calculate_percent_difference generated/methods/evalml.objectives.F1Macro.is_defined_for_problem_type generated/methods/evalml.objectives.F1Macro.objective_function generated/methods/evalml.objectives.F1Macro.score generated/methods/evalml.objectives.F1Macro.validate_inputs generated/evalml.objectives.F1Weighted generated/methods/evalml.objectives.F1Weighted.__init__ generated/methods/evalml.objectives.F1Weighted.calculate_percent_difference generated/methods/evalml.objectives.F1Weighted.is_defined_for_problem_type generated/methods/evalml.objectives.F1Weighted.objective_function generated/methods/evalml.objectives.F1Weighted.score generated/methods/evalml.objectives.F1Weighted.validate_inputs generated/evalml.objectives.LogLossBinary generated/methods/evalml.objectives.LogLossBinary.__init__ generated/methods/evalml.objectives.LogLossBinary.calculate_percent_difference generated/methods/evalml.objectives.LogLossBinary.decision_function generated/methods/evalml.objectives.LogLossBinary.is_defined_for_problem_type generated/methods/evalml.objectives.LogLossBinary.objective_function generated/methods/evalml.objectives.LogLossBinary.optimize_threshold generated/methods/evalml.objectives.LogLossBinary.score generated/methods/evalml.objectives.LogLossBinary.validate_inputs generated/evalml.objectives.LogLossMulticlass generated/methods/evalml.objectives.LogLossMulticlass.__init__ generated/methods/evalml.objectives.LogLossMulticlass.calculate_percent_difference generated/methods/evalml.objectives.LogLossMulticlass.is_defined_for_problem_type generated/methods/evalml.objectives.LogLossMulticlass.objective_function generated/methods/evalml.objectives.LogLossMulticlass.score generated/methods/evalml.objectives.LogLossMulticlass.validate_inputs generated/evalml.objectives.MCCBinary generated/methods/evalml.objectives.MCCBinary.__init__ generated/methods/evalml.objectives.MCCBinary.calculate_percent_difference generated/methods/evalml.objectives.MCCBinary.decision_function generated/methods/evalml.objectives.MCCBinary.is_defined_for_problem_type generated/methods/evalml.objectives.MCCBinary.objective_function generated/methods/evalml.objectives.MCCBinary.optimize_threshold generated/methods/evalml.objectives.MCCBinary.score generated/methods/evalml.objectives.MCCBinary.validate_inputs generated/evalml.objectives.MCCMulticlass generated/methods/evalml.objectives.MCCMulticlass.__init__ generated/methods/evalml.objectives.MCCMulticlass.calculate_percent_difference generated/methods/evalml.objectives.MCCMulticlass.is_defined_for_problem_type generated/methods/evalml.objectives.MCCMulticlass.objective_function generated/methods/evalml.objectives.MCCMulticlass.score generated/methods/evalml.objectives.MCCMulticlass.validate_inputs generated/evalml.objectives.Precision generated/methods/evalml.objectives.Precision.__init__ generated/methods/evalml.objectives.Precision.calculate_percent_difference generated/methods/evalml.objectives.Precision.decision_function generated/methods/evalml.objectives.Precision.is_defined_for_problem_type generated/methods/evalml.objectives.Precision.objective_function generated/methods/evalml.objectives.Precision.optimize_threshold generated/methods/evalml.objectives.Precision.score generated/methods/evalml.objectives.Precision.validate_inputs generated/evalml.objectives.PrecisionMicro generated/methods/evalml.objectives.PrecisionMicro.__init__ generated/methods/evalml.objectives.PrecisionMicro.calculate_percent_difference generated/methods/evalml.objectives.PrecisionMicro.is_defined_for_problem_type generated/methods/evalml.objectives.PrecisionMicro.objective_function generated/methods/evalml.objectives.PrecisionMicro.score generated/methods/evalml.objectives.PrecisionMicro.validate_inputs generated/evalml.objectives.PrecisionMacro generated/methods/evalml.objectives.PrecisionMacro.__init__ generated/methods/evalml.objectives.PrecisionMacro.calculate_percent_difference generated/methods/evalml.objectives.PrecisionMacro.is_defined_for_problem_type generated/methods/evalml.objectives.PrecisionMacro.objective_function generated/methods/evalml.objectives.PrecisionMacro.score generated/methods/evalml.objectives.PrecisionMacro.validate_inputs generated/evalml.objectives.PrecisionWeighted generated/methods/evalml.objectives.PrecisionWeighted.__init__ generated/methods/evalml.objectives.PrecisionWeighted.calculate_percent_difference 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generated/methods/evalml.objectives.RecallWeighted.objective_function generated/methods/evalml.objectives.RecallWeighted.score generated/methods/evalml.objectives.RecallWeighted.validate_inputs generated/evalml.objectives.R2 generated/methods/evalml.objectives.R2.__init__ generated/methods/evalml.objectives.R2.calculate_percent_difference generated/methods/evalml.objectives.R2.is_defined_for_problem_type generated/methods/evalml.objectives.R2.objective_function generated/methods/evalml.objectives.R2.score generated/methods/evalml.objectives.R2.validate_inputs generated/evalml.objectives.MAE generated/methods/evalml.objectives.MAE.__init__ generated/methods/evalml.objectives.MAE.calculate_percent_difference generated/methods/evalml.objectives.MAE.is_defined_for_problem_type generated/methods/evalml.objectives.MAE.objective_function generated/methods/evalml.objectives.MAE.score generated/methods/evalml.objectives.MAE.validate_inputs generated/evalml.objectives.MAPE generated/methods/evalml.objectives.MAPE.__init__ generated/methods/evalml.objectives.MAPE.calculate_percent_difference generated/methods/evalml.objectives.MAPE.is_defined_for_problem_type generated/methods/evalml.objectives.MAPE.objective_function generated/methods/evalml.objectives.MAPE.score generated/methods/evalml.objectives.MAPE.validate_inputs generated/evalml.objectives.MSE generated/methods/evalml.objectives.MSE.__init__ generated/methods/evalml.objectives.MSE.calculate_percent_difference generated/methods/evalml.objectives.MSE.is_defined_for_problem_type generated/methods/evalml.objectives.MSE.objective_function generated/methods/evalml.objectives.MSE.score generated/methods/evalml.objectives.MSE.validate_inputs generated/evalml.objectives.MeanSquaredLogError generated/methods/evalml.objectives.MeanSquaredLogError.__init__ generated/methods/evalml.objectives.MeanSquaredLogError.calculate_percent_difference 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The LaTeX files are in _build/latex.
Run 'make' in that directory to run these through (pdf)latex
(use `make latexpdf' here to do that automatically).
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[rtd-command-info] start-time: 2021-01-29T20:16:16.407456Z, end-time: 2021-01-29T20:16:16.467543Z, duration: 0, exit-code: 0
cat latexmkrc
$latex = 'latex ' . $ENV{'LATEXOPTS'} . ' %O %S';
$pdflatex = 'pdflatex ' . $ENV{'LATEXOPTS'} . ' %O %S';
$lualatex = 'lualatex ' . $ENV{'LATEXOPTS'} . ' %O %S';
$xelatex = 'xelatex --no-pdf ' . $ENV{'LATEXOPTS'} . ' %O %S';
$makeindex = 'makeindex -s python.ist %O -o %D %S';
add_cus_dep( "glo", "gls", 0, "makeglo" );
sub makeglo {
 return system( "makeindex -s gglo.ist -o '$_[0].gls' '$_[0].glo'" );
}

[rtd-command-info] start-time: 2021-01-29T20:16:16.643249Z, end-time: 2021-01-29T20:16:36.247580Z, duration: 19, exit-code: 0
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[]\T1/ptm/m/n/10 Because the lead scor-ing la-bels are bi-nary, we will use \T1
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[]\T1/ptm/m/n/10 Because 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
n use the
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[]|\T1/pcr/m/n/9 **************************************************************
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[]\T1/pcr/m/n/9 ***************************************************************
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[]\T1/ptm/m/n/10 EvalML de-fines a base ob-jec-tive class for each prob-lem typ
e: \T1/pcr/m/n/10 RegressionObjective\T1/ptm/m/n/10 ,
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\T1/ptm/m/n/10 Pipeline def-i-ni-tions must in-herit from the proper pipeline b
ase class, \T1/pcr/m/n/10 RegressionPipeline\T1/ptm/m/n/10 ,
[309] [310] [311]

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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
/it/10 prob-lem_type\T1/ptm/m/n/10 , \T1/ptm/m/it/10 prob-lem_configuration=Non
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[]\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o
r np.ndarray\T1/ptm/m/n/10 ) ^^U data of shape

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[]|\T1/ptm/m/n/10 An ex-cep-tion to be raised when pre-

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[]|\T1/ptm/m/n/10 An ex-cep-tion to be raised when pre-
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[]\T1/ptm/m/n/10 Because 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
n use the
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[]|\T1/pcr/m/n/9 **************************************************************
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[]\T1/ptm/m/n/10 EvalML de-fines a base ob-jec-tive class for each prob-lem typ
e: \T1/pcr/m/n/10 RegressionObjective\T1/ptm/m/n/10 ,
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\T1/ptm/m/n/10 Pipeline def-i-ni-tions must in-herit from the proper pipeline b
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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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[]\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o
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[]\T1/ptm/m/it/10 X_train=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_train=None\T1/
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Chapter 6.
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