Read the Docs build information Build id: 1566677 Project: feature-labs-inc-evalml Version: main Commit: c30c86ba6d76125d09a74663c14a64550fe9cf02 Date: 2023-06-28T13:12:40.089521Z State: finished Success: True [rtd-command-info] start-time: 2023-06-28T13:12:48.265578Z, end-time: 2023-06-28T13:12:51.556679Z, 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: 2023-06-28T13:12:52.043521Z, end-time: 2023-06-28T13:12:52.253744Z, duration: 0, exit-code: 0 git checkout --force origin/main Note: switching to '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 switching back to a branch. If you want to create a new branch to retain commits you create, you may do so (now or later) by using -c with the switch command. Example: git switch -c Or undo this operation with: git switch - Turn off this advice by setting config variable advice.detachedHead to false HEAD is now at c30c86ba Update API reference (#4213) [rtd-command-info] start-time: 2023-06-28T13:12:52.778105Z, end-time: 2023-06-28T13:12:52.861696Z, duration: 0, exit-code: 0 git clean -d -f -f [rtd-command-info] start-time: 2023-06-28T13:12:53.321962Z, end-time: 2023-06-28T13:12:53.384365Z, duration: 0, exit-code: 0 cat .readthedocs.yaml # Read the Docs configuration file # See https://docs.readthedocs.io/en/stable/config-file/v2.html for details # Required version: 2 build: os: ubuntu-22.04 tools: python: "3.8" apt_packages: - graphviz # Build documentation in the docs/ directory with Sphinx sphinx: configuration: docs/source/conf.py fail_on_warning: false # Build documentation with MkDocs #mkdocs: # configuration: mkdocs.yml # Optionally build your docs in additional formats such as PDF and ePub formats: - pdf # Optionally set the version of Python and requirements required to build your docs python: install: - requirements: docs/readthedocs-requirements.txt - method: pip path: . extra_requirements: - dev - prophet [rtd-command-info] start-time: 2023-06-28T13:12:56.596906Z, end-time: 2023-06-28T13:12:58.680934Z, duration: 2, exit-code: 0 apt-get update --assume-yes --quiet Get:1 http://security.ubuntu.com/ubuntu jammy-security InRelease [110 kB] Hit:2 http://archive.ubuntu.com/ubuntu jammy InRelease Get:3 http://archive.ubuntu.com/ubuntu jammy-updates InRelease [119 kB] Get:4 http://security.ubuntu.com/ubuntu jammy-security/restricted amd64 Packages [541 kB] Get:5 http://archive.ubuntu.com/ubuntu jammy-backports InRelease [108 kB] Get:6 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 Packages [953 kB] Get:7 http://security.ubuntu.com/ubuntu jammy-security/multiverse amd64 Packages [36.3 kB] Get:8 http://security.ubuntu.com/ubuntu jammy-security/universe amd64 Packages [939 kB] Get:9 http://security.ubuntu.com/ubuntu jammy-security/main amd64 Packages [634 kB] Get:10 http://archive.ubuntu.com/ubuntu jammy-updates/restricted amd64 Packages [603 kB] Get:11 http://archive.ubuntu.com/ubuntu jammy-updates/multiverse amd64 Packages [49.0 kB] Get:12 http://archive.ubuntu.com/ubuntu jammy-updates/universe amd64 Packages [1197 kB] Get:13 http://archive.ubuntu.com/ubuntu jammy-backports/universe amd64 Packages [25.5 kB] Get:14 http://archive.ubuntu.com/ubuntu jammy-backports/main amd64 Packages [49.4 kB] Fetched 5363 kB in 1s (4622 kB/s) Reading package lists... [rtd-command-info] start-time: 2023-06-28T13:12:59.100811Z, end-time: 2023-06-28T13:13:21.674719Z, duration: 22, exit-code: 0 apt-get install --assume-yes --quiet -- graphviz Reading package lists... Building dependency tree... Reading state information... The following additional packages will be installed: fonts-liberation libann0 Suggested packages: graphviz-doc The following NEW packages will be installed: fonts-liberation graphviz libann0 0 upgraded, 3 newly installed, 0 to remove and 140 not upgraded. Need to get 1498 kB of archives. After this operation, 4810 kB of additional disk space will be used. Get:1 http://archive.ubuntu.com/ubuntu jammy/main amd64 fonts-liberation all 1:1.07.4-11 [822 kB] Get:2 http://archive.ubuntu.com/ubuntu jammy/universe amd64 libann0 amd64 1.1.2+doc-7build1 [26.0 kB] Get:3 http://archive.ubuntu.com/ubuntu jammy/universe amd64 graphviz amd64 2.42.2-6 [650 kB] debconf: delaying package configuration, since apt-utils is not installed Fetched 1498 kB in 1s (2191 kB/s) Selecting previously unselected package fonts-liberation. (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 271716 files and directories currently installed.) Preparing to unpack .../fonts-liberation_1%3a1.07.4-11_all.deb ... Unpacking fonts-liberation (1:1.07.4-11) ... Selecting previously unselected package libann0. Preparing to unpack .../libann0_1.1.2+doc-7build1_amd64.deb ... Unpacking libann0 (1.1.2+doc-7build1) ... Selecting previously unselected package graphviz. Preparing to unpack .../graphviz_2.42.2-6_amd64.deb ... Unpacking graphviz (2.42.2-6) ... 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[rtd-command-info] start-time: 2023-06-28T13:13:26.306655Z, end-time: 2023-06-28T13:13:26.715277Z, duration: 0, exit-code: 0 asdf global python 3.8.17 [rtd-command-info] start-time: 2023-06-28T13:13:27.661281Z, end-time: 2023-06-28T13:13:29.405020Z, duration: 1, exit-code: 0 python -mvirtualenv $READTHEDOCS_VIRTUALENV_PATH created virtual environment CPython3.8.17.final.0-64 in 650ms creator CPython3Posix(dest=/home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main, clear=False, no_vcs_ignore=False, global=False) seeder FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/docs/.local/share/virtualenv) added seed packages: pip==21.2.3, setuptools==57.4.0, wheel==0.37.0 activators BashActivator,CShellActivator,FishActivator,PowerShellActivator,PythonActivator [rtd-command-info] start-time: 2023-06-28T13:13:29.934098Z, end-time: 2023-06-28T13:13:39.350586Z, duration: 9, exit-code: 0 python -m pip install --upgrade 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python -m pip install --upgrade --no-cache-dir pillow mock==1.0.1 alabaster>=0.7,<0.8,!=0.7.5 commonmark==0.9.1 recommonmark==0.5.0 sphinx<2 sphinx-rtd-theme<0.5 readthedocs-sphinx-ext<2.3 jinja2<3.1.0 Collecting pillow Downloading Pillow-9.5.0-cp38-cp38-manylinux_2_28_x86_64.whl (3.4 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3.4/3.4 MB 18.0 MB/s eta 0:00:00 Collecting mock==1.0.1 Downloading mock-1.0.1.zip (861 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 861.9/861.9 kB 34.1 MB/s eta 0:00:00 Preparing metadata (setup.py): started Preparing metadata (setup.py): finished with status 'done' Collecting alabaster!=0.7.5,<0.8,>=0.7 Downloading alabaster-0.7.13-py3-none-any.whl (13 kB) Collecting commonmark==0.9.1 Downloading commonmark-0.9.1-py2.py3-none-any.whl (51 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 51.1/51.1 kB 182.1 MB/s eta 0:00:00 Collecting recommonmark==0.5.0 Downloading recommonmark-0.5.0-py2.py3-none-any.whl (9.8 kB) Collecting sphinx<2 Downloading 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/tmp/pip-ephem-wheel-cache-ny26581y/wheels/41/7c/21/90057f91c6ead7c77a90c52d6e85ca48bf82d8b0d3f8dfbb65 Successfully built mock Installing collected packages: snowballstemmer, pytz, mock, commonmark, urllib3, sphinxcontrib-serializinghtml, six, Pygments, pillow, packaging, MarkupSafe, imagesize, idna, docutils, charset-normalizer, certifi, babel, alabaster, sphinxcontrib-websupport, requests, jinja2, sphinx, readthedocs-sphinx-ext, sphinx-rtd-theme, recommonmark Successfully installed MarkupSafe-2.1.3 Pygments-2.15.1 alabaster-0.7.13 babel-2.12.1 certifi-2023.5.7 charset-normalizer-3.1.0 commonmark-0.9.1 docutils-0.17.1 idna-3.4 imagesize-1.4.1 jinja2-3.0.3 mock-1.0.1 packaging-23.1 pillow-9.5.0 pytz-2023.3 readthedocs-sphinx-ext-2.2.1 recommonmark-0.5.0 requests-2.31.0 six-1.16.0 snowballstemmer-2.2.0 sphinx-1.8.6 sphinx-rtd-theme-0.4.3 sphinxcontrib-serializinghtml-1.1.5 sphinxcontrib-websupport-1.2.4 urllib3-2.0.3 [rtd-command-info] start-time: 2023-06-28T13:13:47.991082Z, end-time: 2023-06-28T13:13:48.883337Z, duration: 0, exit-code: 0 python -m pip install --exists-action=w --no-cache-dir -r docs/readthedocs-requirements.txt Requirement already satisfied: setuptools>=45.1.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from -r docs/readthedocs-requirements.txt (line 1)) (68.0.0) [rtd-command-info] start-time: 2023-06-28T13:13:49.273341Z, end-time: 2023-06-28T13:15:37.189316Z, duration: 107, exit-code: 0 python -m pip install --upgrade --upgrade-strategy eager --no-cache-dir .[dev,prophet] Processing /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main Installing build dependencies: started Installing build dependencies: finished with status 'done' Getting requirements to build wheel: started Getting requirements to build wheel: finished with status 'done' Preparing metadata (pyproject.toml): started Preparing metadata (pyproject.toml): finished with status 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0:00:00 Building wheels for collected packages: lime, evalml, PyMeeus, wrapt Building wheel for lime (setup.py): started Building wheel for lime (setup.py): finished with status 'done' Created wheel for lime: filename=lime-0.2.0.1-py3-none-any.whl size=283839 sha256=b0aa4bc90588e4b2657e271b150fa2f8273ebc7419d1ebc367bf34b90fdef8c9 Stored in directory: /tmp/pip-ephem-wheel-cache-tku7rz8d/wheels/e6/a6/20/cc1e293fcdb67ede666fed293cb895395e7ecceb4467779546 Building wheel for evalml (pyproject.toml): started Building wheel for evalml (pyproject.toml): finished with status 'done' Created wheel for evalml: filename=evalml-0.77.0-py3-none-any.whl size=6553054 sha256=0a14a487dca9f06e132266aa8e9407c76b5632f30868023de8c847271dd6f5cd Stored in directory: /tmp/pip-ephem-wheel-cache-tku7rz8d/wheels/f7/b6/0a/abf98cc6d78484394a1999ad14743701336a0a8216aaa6e6b7 Building wheel for PyMeeus (setup.py): started Building wheel for PyMeeus (setup.py): finished with status 'done' Created wheel for PyMeeus: filename=PyMeeus-0.5.12-py3-none-any.whl size=732001 sha256=7582c63d0d8309cc4812074a5606dec624c3de58821f48f37a6715a827f87131 Stored in directory: /tmp/pip-ephem-wheel-cache-tku7rz8d/wheels/c2/3a/3d/11734e652782d3f823a08aae1c452e887eb16349750cca3f8a Building wheel for wrapt (setup.py): started Building wheel for wrapt (setup.py): finished with status 'done' Created wheel for wrapt: filename=wrapt-1.12.1-cp38-cp38-linux_x86_64.whl size=75889 sha256=62502d43e1d87ca17d82551180257b0ee77038275b279b06578a5fa64b3a7a93 Stored in directory: /tmp/pip-ephem-wheel-cache-tku7rz8d/wheels/5f/fd/9e/b6cf5890494cb8ef0b5eaff72e5d55a70fb56316007d6dfe73 Successfully built lime evalml PyMeeus wrapt Installing collected packages: wrapt, webencodings, wcwidth, texttable, sortedcontainers, PyMeeus, pure-eval, ptyprocess, pickleshare, msgpack, korean-lunar-calendar, kaleido, fastjsonschema, executing, ephem, distlib, backcall, zipp, zict, widgetsnbextension, wheel, vowpalwabbit, unidecode, typing-extensions, traitlets, tqdm, tornado, toolz, tomli, tokenize-rt, tinycss2, threadpoolctl, tenacity, tblib, sphinxcontrib-qthelp, sphinxcontrib-jsmath, sphinxcontrib-htmlhelp, sphinxcontrib-devhelp, sphinxcontrib-applehelp, soupsieve, slicer, ruff, regex, pyzmq, pyyaml, python-dateutil, pyrsistent, pyparsing, py, psutil, prompt-toolkit, pluggy, platformdirs, pkgutil-resolve-name, pexpect, pathspec, parso, pandocfilters, numpy, nodeenv, networkx, nest-asyncio, mypy-extensions, mistune, mdurl, locket, llvmlite, lazy-object-proxy, lazy_loader, kiwisolver, jupyterlab-widgets, jupyterlab-pygments, joblib, jinja2, iniconfig, identify, hijri-converter, graphviz, fsspec, fonttools, filelock, execnet, docutils, deprecated, defusedxml, decorator, debugpy, darglint, Cython, cycler, coverage, convertdate, colorama, cloudpickle, click, cfgv, bleach, attrs, asttokens, accessible-pygments, virtualenv, tifffile, stack-data, scipy, PyWavelets, pytest, pyaml, plotly, patsy, partd, pandas, nltk, matplotlib-inline, markdown-it-py, LunarCalendar, jupyter-core, jedi, importlib-resources, importlib-metadata, imageio, holidays, contourpy, comm, black, beautifulsoup4, astroid, xgboost, statsmodels, Sphinx, scikit-learn, scikit-image, pytest-timeout, pytest-forked, pytest-cov, pre-commit, numba, mdit-py-plugins, matplotlib, jupyter-client, jsonschema, ipython, dask, cmdstanpy, woodwork, sphinx-inline-tabs, sphinx-copybutton, sphinx-autoapi, sktime, shap, seaborn, scikit-optimize, pytest-xdist, pydata-sphinx-theme, prophet, pmdarima, nbformat, myst-parser, lime, lightgbm, ipykernel, imbalanced-learn, distributed, category-encoders, catboost, nbval, nbclient, ipywidgets, featuretools, nlp-primitives, nbconvert, nbsphinx, evalml Attempting uninstall: wheel Found existing installation: wheel 0.37.0 Uninstalling wheel-0.37.0: Successfully uninstalled wheel-0.37.0 Attempting uninstall: jinja2 Found existing installation: Jinja2 3.0.3 Uninstalling Jinja2-3.0.3: Successfully uninstalled Jinja2-3.0.3 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 1.8.6 Uninstalling Sphinx-1.8.6: Successfully uninstalled Sphinx-1.8.6 Successfully installed Cython-0.29.35 LunarCalendar-0.0.9 PyMeeus-0.5.12 PyWavelets-1.4.1 Sphinx-4.5.0 accessible-pygments-0.0.4 astroid-2.6.6 asttokens-2.2.1 attrs-23.1.0 backcall-0.2.0 beautifulsoup4-4.12.2 black-23.3.0 bleach-6.0.0 catboost-1.2 category-encoders-2.5.1.post0 cfgv-3.3.1 click-8.1.3 cloudpickle-2.2.1 cmdstanpy-1.1.0 colorama-0.4.6 comm-0.1.3 contourpy-1.1.0 convertdate-2.4.0 coverage-7.2.7 cycler-0.11.0 darglint-1.8.0 dask-2023.3.2 debugpy-1.6.7 decorator-5.1.1 defusedxml-0.7.1 deprecated-1.2.14 distlib-0.3.6 distributed-2023.3.2.1 docutils-0.16 ephem-4.1.4 evalml-0.77.0 execnet-1.9.0 executing-1.2.0 fastjsonschema-2.17.1 featuretools-1.26.0 filelock-3.12.2 fonttools-4.40.0 fsspec-2023.6.0 graphviz-0.20.1 hijri-converter-2.3.1 holidays-0.20 identify-2.5.24 imageio-2.31.1 imbalanced-learn-0.10.1 importlib-metadata-6.7.0 importlib-resources-5.12.0 iniconfig-2.0.0 ipykernel-6.23.3 ipython-8.12.0 ipywidgets-8.0.4 jedi-0.18.2 jinja2-3.1.2 joblib-1.2.0 jsonschema-4.17.3 jupyter-client-8.3.0 jupyter-core-5.3.1 jupyterlab-pygments-0.2.2 jupyterlab-widgets-3.0.7 kaleido-0.2.1 kiwisolver-1.4.4 korean-lunar-calendar-0.3.1 lazy-object-proxy-1.9.0 lazy_loader-0.2 lightgbm-3.3.5 lime-0.2.0.1 llvmlite-0.40.1 locket-1.0.0 markdown-it-py-2.2.0 matplotlib-3.7.1 matplotlib-inline-0.1.6 mdit-py-plugins-0.3.5 mdurl-0.1.2 mistune-3.0.1 msgpack-1.0.5 mypy-extensions-1.0.0 myst-parser-0.16.1 nbclient-0.8.0 nbconvert-7.6.0 nbformat-5.9.0 nbsphinx-0.8.12 nbval-0.9.3 nest-asyncio-1.5.6 networkx-3.1 nlp-primitives-2.11.0 nltk-3.8.1 nodeenv-1.8.0 numba-0.57.1 numpy-1.23.5 pandas-1.5.3 pandocfilters-1.5.0 parso-0.8.3 partd-1.4.0 pathspec-0.11.1 patsy-0.5.3 pexpect-4.8.0 pickleshare-0.7.5 pkgutil-resolve-name-1.3.10 platformdirs-3.8.0 plotly-5.15.0 pluggy-1.2.0 pmdarima-2.0.3 pre-commit-3.3.3 prompt-toolkit-3.0.38 prophet-1.1.3 psutil-5.9.5 ptyprocess-0.7.0 pure-eval-0.2.2 py-1.11.0 pyaml-23.5.9 pydata-sphinx-theme-0.13.3 pyparsing-3.1.0 pyrsistent-0.19.3 pytest-7.1.2 pytest-cov-2.10.1 pytest-forked-1.6.0 pytest-timeout-1.4.2 pytest-xdist-2.1.0 python-dateutil-2.8.2 pyyaml-5.4 pyzmq-25.1.0 regex-2023.6.3 ruff-0.0.228 scikit-image-0.21.0 scikit-learn-1.2.2 scikit-optimize-0.9.0 scipy-1.10.1 seaborn-0.12.2 shap-0.41.0 sktime-0.17.0 slicer-0.0.7 sortedcontainers-2.4.0 soupsieve-2.4.1 sphinx-autoapi-1.8.3 sphinx-copybutton-0.4.0 sphinx-inline-tabs-2022.1.2b11 sphinxcontrib-applehelp-1.0.4 sphinxcontrib-devhelp-1.0.2 sphinxcontrib-htmlhelp-2.0.1 sphinxcontrib-jsmath-1.0.1 sphinxcontrib-qthelp-1.0.3 stack-data-0.6.2 statsmodels-0.14.0 tblib-2.0.0 tenacity-8.2.2 texttable-1.6.7 threadpoolctl-3.1.0 tifffile-2023.4.12 tinycss2-1.2.1 tokenize-rt-5.1.0 tomli-2.0.1 toolz-0.12.0 tornado-6.3.2 tqdm-4.65.0 traitlets-5.9.0 typing-extensions-4.6.3 unidecode-1.3.6 virtualenv-20.23.1 vowpalwabbit-9.8.0 wcwidth-0.2.6 webencodings-0.5.1 wheel-0.40.0 widgetsnbextension-4.0.7 woodwork-0.24.0 wrapt-1.12.1 xgboost-1.7.6 zict-3.0.0 zipp-3.15.0 [rtd-command-info] start-time: 2023-06-28T13:15:47.126639Z, end-time: 2023-06-28T13:15:47.212155Z, 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 os import shutil import sys from pathlib import Path from sphinx.domains.python import PythonDomain from sphinx.ext.autodoc import Documenter, MethodDocumenter import evalml path = os.path.join("..", "..") sys.path.insert(0, os.path.abspath(path)) # -- Project information ----------------------------------------------------- project = "EvalML" copyright = "2020, Alteryx, Inc." author = "Alteryx, Inc." # The short X.Y version version = evalml.__version__ # The full version, including alpha/beta/rc tags release = evalml.__version__ # -- General configuration --------------------------------------------------- # If your documentation needs a minimal Sphinx version, state it here. # # needs_sphinx = '1.0' # Add any Sphinx extension module names here, as strings. They can be # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom # ones. extensions = [ "nbsphinx", "autoapi.extension", "sphinx.ext.napoleon", "sphinx.ext.viewcode", "sphinx.ext.extlinks", "sphinx.ext.graphviz", "sphinx.ext.inheritance_diagram", "sphinx_inline_tabs", "sphinx_copybutton", "myst_parser", ] autoapi_dirs = ["../../evalml"] autoapi_ignore = ["*/evalml/tests/*"] autoapi_options = [ "members", "undoc-members", "show-module-summary", "imported-members", "inherited-members", ] autoapi_add_toctree_entry = False autoapi_template_dir = "_auto_api_templates" # The suffix(es) of source filenames. # You can specify multiple suffix as a list of string: # source_suffix = ".rst" # The main toctree document. master_doc = "index" # The language for content autogenerated by Sphinx. Refer to documentation # for a list of supported languages. # # This is also used if you do content translation via gettext catalogs. # Usually you set "language" from the command line for these cases. language = None # List of patterns, relative to source directory, that match files and # directories to ignore when looking for source files. # This pattern also affects html_static_path and html_extra_path. exclude_patterns = ["**.ipynb_checkpoints", "_templates", "_auto_api_templates"] suppress_warnings = ["autoapi"] # The name of the Pygments (syntax highlighting) style to use. pygments_style = None # -- Options for HTML output ------------------------------------------------- # The theme to use for HTML and HTML Help pages. See the documentation for # a list of builtin themes. # html_theme = "pydata_sphinx_theme" # Theme options are theme-specific and customize the look and feel of a theme # further. For a list of options available for each theme, see the # documentation. # html_theme_options = { "icon_links": [ { "name": "GitHub", "url": "https://github.com/alteryx/evalml", "icon": "fab fa-github-square", "type": "fontawesome", }, { "name": "Twitter", "url": "https://twitter.com/AlteryxOSS", "icon": "fab fa-twitter-square", "type": "fontawesome", }, { "name": "Slack", "url": "https://join.slack.com/t/alteryx-oss/shared_invite/zt-182tyvuxv-NzIn6eiCEf8TBziuKp0bNA", "icon": "fab fa-slack", "type": "fontawesome", }, { "name": "StackOverflow", "url": "https://stackoverflow.com/questions/tagged/evalml", "icon": "fab fa-stack-overflow", "type": "fontawesome", }, ], "collapse_navigation": False, "navigation_depth": 2, } # The name of an image file (relative to this directory) to place at the top # of the sidebar. html_logo = "images/evalml_horizontal.svg" # The name of an image file (relative to this directory) to use as a favicon of # the docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32 # pixels large. html_favicon = "images/favicon.ico" # Add any paths that contain custom static files (such as style sheets) here, # relative to this directory. They are copied after the builtin static files, # so a file named "default.css" will overwrite the builtin "default.css". html_static_path = ["_static"] # Custom sidebar templates, must be a dictionary that maps document names # to template names. # # The default sidebars (for documents that don't match any pattern) are # defined by theme itself. Builtin themes are using these templates by # default: ``['localtoc.html', 'relations.html', 'sourcelink.html', # 'searchbox.html']``. # # html_sidebars = {} html_js_files = [ "https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js?config=TeX-AMS-MML_SVG.js", ] # Downgrading MathJax to version 2 to fix plot rendering. For some reason, not fixed in latest plotly. # See https://github.com/spatialaudio/nbsphinx/issues/572 for more details. mathjax_path = "https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js?config=TeX-AMS-MML_SVG.js" mathjax2_config = { "tex2jax": { "inlineMath": [["$", "$"], ["\\(", "\\)"]], "processEscapes": True, "ignoreClass": "document", "processClass": "math|output_area", }, } # -- Options for HTMLHelp output --------------------------------------------- # Output file base name for HTML help builder. htmlhelp_basename = "EvalMLdoc" # -- Options for LaTeX output ------------------------------------------------ latex_elements = { # The paper size ('letterpaper' or 'a4paper'). # # 'papersize': 'letterpaper', # The font size ('10pt', '11pt' or '12pt'). # # 'pointsize': '10pt', # Additional stuff for the LaTeX preamble. # # 'preamble': '', # Latex figure (float) alignment # # 'figure_align': 'htbp', } # Grouping the document tree into LaTeX files. List of tuples # (source start file, target name, title, # author, documentclass [howto, manual, or own class]). latex_documents = [ (master_doc, "EvalML.tex", "EvalML Documentation", author, "manual"), ] # -- Options for manual page output ------------------------------------------ # One entry per manual page. List of tuples # (source start file, name, description, authors, manual section). man_pages = [(master_doc, "evalml", "EvalML Documentation", [author], 1)] # -- Options for Texinfo output ---------------------------------------------- # Grouping the document tree into Texinfo files. List of tuples # (source start file, target name, title, author, # dir menu entry, description, category) texinfo_documents = [ ( master_doc, "EvalML", "EvalML Documentation", author, "EvalML", "One line description of project.", "Miscellaneous", ), ] # -- Options for Epub output ------------------------------------------------- # Bibliographic Dublin Core info. epub_title = project # The unique identifier of the text. This can be a ISBN number # or the project homepage. # # epub_identifier = '' # A unique identification for the text. # # epub_uid = '' # A list of files that should not be packed into the epub file. epub_exclude_files = ["search.html"] # -- Extension configuration ------------------------------------------------- # If evalml is open-sourced: replace github specific style.css extlinks = { "issue": ("https://github.com/alteryx/evalml/issues/%s", "#"), "pr": ("https://github.com/alteryx/evalml/pull/%s", "#"), "user": ("https://github.com/%s", "@"), } html_show_sphinx = False nbsphinx_execute = "always" nbsphinx_timeout = ( 600 # sphinx defaults each cell to 30 seconds so we need to override here ) inheritance_graph_attrs = dict(rankdir="TB", dpi=192.0, ranksep=0.02) inheritance_node_attrs = dict(fontsize=6, height=0.15, width=5, fixedsize=True) inheritance_edge_attrs = dict(arrowsize=0.1) class AccessorLevelDocumenter(Documenter): """Documenter subclass for objects on accessor level (methods, attributes). Referenced pandas-sphinx-theme (https://github.com/pandas-dev/pandas-sphinx-theme) and sphinx-doc (https://github.com/sphinx-doc/sphinx/blob/8c7faed6fcbc6b7d40f497698cb80fc10aee1ab3/sphinx/ext/autodoc/__init__.py#L846) """ def resolve_name(self, modname, parents, path, base): modname = "evalml" mod_cls = path.rstrip(".") mod_cls = mod_cls.split(".") return modname, mod_cls + [base] class AccessorCallableDocumenter(AccessorLevelDocumenter, MethodDocumenter): """This documenter lets us removes .__call__ from the method signature for callable accessors like Series.plot.""" objtype = "accessorcallable" directivetype = "method" # lower than MethodDocumenter; otherwise the doc build prints warnings priority = 0.5 def format_name(self): return MethodDocumenter.format_name(self).rstrip(".__call__") class AccessorMethodDocumenter(AccessorLevelDocumenter, MethodDocumenter): objtype = "accessormethod" directivetype = "method" # lower than MethodDocumenter so this is not chosen for normal methods priority = 0.6 class PatchedPythonDomain(PythonDomain): """To disable cross-reference warning: https://github.com/sphinx-doc/sphinx/issues/3866.""" def resolve_xref(self, env, fromdocname, builder, typ, target, node, contnode): if "refspecific" in node: del node["refspecific"] return super(PatchedPythonDomain, self).resolve_xref( env, fromdocname, builder, typ, target, node, contnode, ) def setup(app): p = Path("/home/docs/.ipython/profile_default/startup") if p.exists(): print(f"Adding disable-warnings.py and set-headers.py to {str(p)}") p.mkdir(parents=True, exist_ok=True) shutil.copy( "disable-warnings.py", "/home/docs/.ipython/profile_default/startup/", ) shutil.copy("set-headers.py", "/home/docs/.ipython/profile_default/startup") app.add_domain(PatchedPythonDomain, override=True) app.add_js_file( "https://cdnjs.cloudflare.com/ajax/libs/require.js/2.1.10/require.min.js", ) app.add_css_file("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/main/readthedocs/doc_builder/templates/doc_builder/conf.py.tmpl # # Note: this file shouldn't rely on extra dependencies. 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: html_theme = 'sphinx_rtd_theme' html_style = None html_theme_options = {} # This following legacy behavior will gradually be sliced out until its deprecated and removed. # Skipped for Sphinx 6+ # Skipped by internal Feature flag SKIP_SPHINX_HTML_THEME_PATH # Skipped by all new projects since SKIP_SPHINX_HTML_THEME_PATH's introduction (jan 2023) if ( using_rtd_theme and version_info < (6,0) and not False ): theme = importlib.import_module('sphinx_rtd_theme') if 'html_theme_path' in globals(): html_theme_path.append(theme.get_html_theme_path()) else: html_theme_path = [theme.get_html_theme_path()] # Define websupport2_base_url and websupport2_static_url 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", 'proxied_static_path': "/_/static/", 'versions': [ ("latest", "/en/latest/"), ("stable", "/en/stable/"), ("v0.77.0", "/en/v0.77.0/"), ("v0.76.0", "/en/v0.76.0/"), ("v0.75.0", "/en/v0.75.0/"), ("v0.74.0", "/en/v0.74.0/"), ("v0.73.0", "/en/v0.73.0/"), ("v0.72.0", "/en/v0.72.0/"), ("v0.71.0", "/en/v0.71.0/"), ("v0.70.0", "/en/v0.70.0/"), ("v0.69.0", "/en/v0.69.0/"), ("v0.68.0", "/en/v0.68.0/"), ("v0.67.0", "/en/v0.67.0/"), ("v0.66.1", "/en/v0.66.1/"), ("v0.66.0", "/en/v0.66.0/"), ("v0.65.0", "/en/v0.65.0/"), ("v0.64.0", "/en/v0.64.0/"), ("v0.63.0", "/en/v0.63.0/"), ("v0.62.0", "/en/v0.62.0/"), ("v0.61.1", "/en/v0.61.1/"), ("v0.61.0", "/en/v0.61.0/"), ("v0.60.0", "/en/v0.60.0/"), ("v0.59.0", "/en/v0.59.0/"), ("v0.58.0", "/en/v0.58.0/"), ("v0.57.0", "/en/v0.57.0/"), ("v0.56.1", "/en/v0.56.1/"), ("v0.56.0", "/en/v0.56.0/"), ("v0.55.0", "/en/v0.55.0/"), ("v0.54.0", "/en/v0.54.0/"), ("v0.53.1", "/en/v0.53.1/"), ("v0.53.0", "/en/v0.53.0/"), ("v0.52.0", "/en/v0.52.0/"), ("v0.51.0", "/en/v0.51.0/"), ("v0.50.0", "/en/v0.50.0/"), ("v0.49.0", "/en/v0.49.0/"), ("v0.48.0", "/en/v0.48.0/"), ("v0.47.0", "/en/v0.47.0/"), ("v0.46.0", "/en/v0.46.0/"), ("v0.45.0", "/en/v0.45.0/"), ("v0.44.0", "/en/v0.44.0/"), ("v0.43.0", "/en/v0.43.0/"), ("v0.42.0", "/en/v0.42.0/"), ("v0.41.0", "/en/v0.41.0/"), ("v0.40.0", "/en/v0.40.0/"), ("v0.39.0", "/en/v0.39.0/"), ("v0.38.0", "/en/v0.38.0/"), ("v0.37.0", "/en/v0.37.0/"), ("v0.36.0", "/en/v0.36.0/"), ("v0.35.0", "/en/v0.35.0/"), ("v0.34.0", "/en/v0.34.0/"), ("v0.33.0", "/en/v0.33.0/"), ("v0.32.1", "/en/v0.32.1/"), ("v0.32.0", "/en/v0.32.0/"), ("v0.31.0", "/en/v0.31.0/"), ("v0.30.2", "/en/v0.30.2/"), ("v0.30.1", "/en/v0.30.1/"), ("v0.30.0", "/en/v0.30.0/"), ("v0.29.0", "/en/v0.29.0/"), ("v0.28.0", "/en/v0.28.0/"), ("v0.27.0", "/en/v0.27.0/"), ("v0.25.0", "/en/v0.25.0/"), ("v0.24.2", "/en/v0.24.2/"), ("v0.24.1", "/en/v0.24.1/"), ("v0.24.0", "/en/v0.24.0/"), ("v0.23.0", "/en/v0.23.0/"), ("v0.22.0", "/en/v0.22.0/"), ("v0.22.0_a", "/en/v0.22.0_a/"), ("v0.21.0", "/en/v0.21.0/"), ("v0.20.0", "/en/v0.20.0/"), ("v0.19.0", "/en/v0.19.0/"), ("v0.18.2", "/en/v0.18.2/"), ("v0.18.1", "/en/v0.18.1/"), ("v0.18.0", "/en/v0.18.0/"), ("v0.17.0", "/en/v0.17.0/"), ("v0.16.1", "/en/v0.16.1/"), ("v0.16.0", "/en/v0.16.0/"), ("v0.15.0", "/en/v0.15.0/"), ("v0.14.1", "/en/v0.14.1/"), ("v0.13.2", "/en/v0.13.2/"), ("v0.13.1", "/en/v0.13.1/"), ("v0.12.2", "/en/v0.12.2/"), ("v0.12.0", "/en/v0.12.0/"), ("v0.11.2", "/en/v0.11.2/"), ("v0.11.0", "/en/v0.11.0/"), ("v0.10.0", "/en/v0.10.0/"), ("v0.9.0", "/en/v0.9.0/"), ("v0.8.0", "/en/v0.8.0/"), ("v0.7.0", "/en/v0.7.0/"), ("v0.6.0", "/en/v0.6.0/"), ("v0.5.2", "/en/v0.5.2/"), ("v0.5.1", "/en/v0.5.1/"), ("main", "/en/main/"), ], 'downloads': [ ("pdf", "//evalml.alteryx.com/_/downloads/en/main/pdf/"), ], 'subprojects': [ ], 'slug': 'feature-labs-inc-evalml', 'name': u'EvalML', 'rtd_language': u'en', 'programming_language': u'py', 'canonical_url': '', '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': 'c30c86ba', } # 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(): for key in context: if key not in html_context: html_context[key] = context[key] 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/1566677/' 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: 2023-06-28T13:15:47.794737Z, end-time: 2023-06-28T13:35:31.696867Z, duration: 1183, exit-code: 0 python -m sphinx -T -E -b html -d _build/doctrees -D language=en . $READTHEDOCS_OUTPUT/html Running Sphinx v4.5.0 /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/utils/_clustering.py:35: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _pt_shuffle_rec(i, indexes, index_mask, partition_tree, M, pos): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/utils/_clustering.py:54: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def delta_minimization_order(all_masks, max_swap_size=100, num_passes=2): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/utils/_clustering.py:63: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _reverse_window(order, start, length): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/utils/_clustering.py:69: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _reverse_window_score_gain(masks, order, start, length): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/utils/_clustering.py:77: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _mask_delta_score(m1, m2): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/links.py:5: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def identity(x): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/links.py:10: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _identity_inverse(x): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/links.py:15: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def logit(x): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/links.py:20: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _logit_inverse(x): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/utils/_masked_model.py:363: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _build_fixed_single_output(averaged_outs, last_outs, outputs, batch_positions, varying_rows, num_varying_rows, link, linearizing_weights): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/utils/_masked_model.py:385: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _build_fixed_multi_output(averaged_outs, last_outs, outputs, batch_positions, varying_rows, num_varying_rows, link, linearizing_weights): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/utils/_masked_model.py:428: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _init_masks(cluster_matrix, M, indices_row_pos, indptr): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/utils/_masked_model.py:439: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _rec_fill_masks(cluster_matrix, indices_row_pos, indptr, indices, M, ind): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/maskers/_tabular.py:186: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _single_delta_mask(dind, masked_inputs, last_mask, data, x, noop_code): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/maskers/_tabular.py:197: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _delta_masking(masks, x, curr_delta_inds, varying_rows_out, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/maskers/_image.py:175: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _jit_build_partition_tree(xmin, xmax, ymin, ymax, zmin, zmax, total_ywidth, total_zwidth, M, clustering, q): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/explainers/_partition.py:676: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def lower_credit(i, value, M, values, clustering): The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. 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[100%] evalml.automl.automl_algorithm.automl_algorithm [autosummary] generating autosummary for: api_index.rst, demos/cost_benefit_matrix.ipynb, demos/fraud.ipynb, demos/lead_scoring.ipynb, demos/text_input.ipynb, index.ipynb, install.md, release_notes.rst, start.ipynb, tutorials.ipynb, ..., user_guide/component_graphs.ipynb, user_guide/components.ipynb, user_guide/data_check_actions.ipynb, user_guide/data_checks.ipynb, user_guide/faq.ipynb, user_guide/model_understanding.ipynb, user_guide/objectives.ipynb, user_guide/pipelines.ipynb, user_guide/timeseries.ipynb, user_guide/utilities.ipynb myst v0.16.1: MdParserConfig(renderer='sphinx', commonmark_only=False, enable_extensions=['dollarmath'], linkify_fuzzy_links=True, dmath_allow_labels=True, dmath_allow_space=True, dmath_allow_digits=True, dmath_double_inline=False, update_mathjax=True, mathjax_classes='tex2jax_process|mathjax_process|math|output_area', disable_syntax=[], url_schemes=['http', 'https', 'mailto', 'ftp'], heading_anchors=None, heading_slug_func=None, html_meta=[], footnote_transition=True, substitutions=[], sub_delimiters=['{', '}'], words_per_minute=200) building [mo]: targets for 0 po files that are out of date building [html]: targets for 22 source files that are out of date updating environment: [new config] 225 added, 0 changed, 0 removed reading sources... 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[ 94%] start reading sources... [ 94%] tutorials reading sources... [ 95%] user_guide reading sources... [ 95%] user_guide/automl /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/utils/_clustering.py:35: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _pt_shuffle_rec(i, indexes, index_mask, partition_tree, M, pos): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/utils/_clustering.py:54: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def delta_minimization_order(all_masks, max_swap_size=100, num_passes=2): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/utils/_clustering.py:63: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _reverse_window(order, start, length): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/utils/_clustering.py:69: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _reverse_window_score_gain(masks, order, start, length): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/utils/_clustering.py:77: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _mask_delta_score(m1, m2): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/links.py:5: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def identity(x): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/links.py:10: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _identity_inverse(x): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/links.py:15: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def logit(x): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/links.py:20: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _logit_inverse(x): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/utils/_masked_model.py:363: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _build_fixed_single_output(averaged_outs, last_outs, outputs, batch_positions, varying_rows, num_varying_rows, link, linearizing_weights): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/utils/_masked_model.py:385: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _build_fixed_multi_output(averaged_outs, last_outs, outputs, batch_positions, varying_rows, num_varying_rows, link, linearizing_weights): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/utils/_masked_model.py:428: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _init_masks(cluster_matrix, M, indices_row_pos, indptr): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/utils/_masked_model.py:439: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _rec_fill_masks(cluster_matrix, indices_row_pos, indptr, indices, M, ind): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/maskers/_tabular.py:186: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _single_delta_mask(dind, masked_inputs, last_mask, data, x, noop_code): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/utils/_clustering.py:35: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _pt_shuffle_rec(i, indexes, index_mask, partition_tree, M, pos): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/utils/_clustering.py:54: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def delta_minimization_order(all_masks, max_swap_size=100, num_passes=2): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/utils/_clustering.py:63: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _reverse_window(order, start, length): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/utils/_clustering.py:69: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _reverse_window_score_gain(masks, order, start, length): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/utils/_clustering.py:77: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _mask_delta_score(m1, m2): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/links.py:5: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def identity(x): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/links.py:10: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _identity_inverse(x): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/links.py:15: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def logit(x): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/links.py:20: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _logit_inverse(x): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/utils/_masked_model.py:363: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _build_fixed_single_output(averaged_outs, last_outs, outputs, batch_positions, varying_rows, num_varying_rows, link, linearizing_weights): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/utils/_masked_model.py:385: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _build_fixed_multi_output(averaged_outs, last_outs, outputs, batch_positions, varying_rows, num_varying_rows, link, linearizing_weights): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/utils/_masked_model.py:428: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _init_masks(cluster_matrix, M, indices_row_pos, indptr): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/utils/_masked_model.py:439: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _rec_fill_masks(cluster_matrix, indices_row_pos, indptr, indices, M, ind): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/maskers/_tabular.py:186: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _single_delta_mask(dind, masked_inputs, last_mask, data, x, noop_code): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/maskers/_tabular.py:197: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _delta_masking(masks, x, curr_delta_inds, varying_rows_out, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/maskers/_image.py:175: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _jit_build_partition_tree(xmin, xmax, ymin, ymax, zmin, zmax, total_ywidth, total_zwidth, M, clustering, q): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/explainers/_partition.py:676: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def lower_credit(i, value, M, values, clustering): The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. Inside a Dask worker with daemon=True, setting n_jobs=1. Possible work-arounds: - dask.config.set({'distributed.worker.daemon': False}) - set the environment variable DASK_DISTRIBUTED__WORKER__DAEMON=False before creating your Dask cluster. Inside a Dask worker with daemon=True, setting n_jobs=1. Possible work-arounds: - dask.config.set({'distributed.worker.daemon': False}) - set the environment variable DASK_DISTRIBUTED__WORKER__DAEMON=False before creating your Dask cluster. Inside a Dask worker with daemon=True, setting n_jobs=1. Possible work-arounds: - dask.config.set({'distributed.worker.daemon': False}) - set the environment variable DASK_DISTRIBUTED__WORKER__DAEMON=False before creating your Dask cluster. Inside a Dask worker with daemon=True, setting n_jobs=1. Possible work-arounds: - dask.config.set({'distributed.worker.daemon': False}) - set the environment variable DASK_DISTRIBUTED__WORKER__DAEMON=False before creating your Dask cluster. Inside a Dask worker with daemon=True, setting n_jobs=1. Possible work-arounds: - dask.config.set({'distributed.worker.daemon': False}) - set the environment variable DASK_DISTRIBUTED__WORKER__DAEMON=False before creating your Dask cluster. Inside a Dask worker with daemon=True, setting n_jobs=1. Possible work-arounds: - dask.config.set({'distributed.worker.daemon': False}) - set the environment variable DASK_DISTRIBUTED__WORKER__DAEMON=False before creating your Dask cluster. Inside a Dask worker with daemon=True, setting n_jobs=1. Possible work-arounds: - dask.config.set({'distributed.worker.daemon': False}) - set the environment variable DASK_DISTRIBUTED__WORKER__DAEMON=False before creating your Dask cluster. /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/maskers/_tabular.py:197: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _delta_masking(masks, x, curr_delta_inds, varying_rows_out, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/maskers/_image.py:175: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _jit_build_partition_tree(xmin, xmax, ymin, ymax, zmin, zmax, total_ywidth, total_zwidth, M, clustering, q): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/explainers/_partition.py:676: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def lower_credit(i, value, M, values, clustering): The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. Inside a Dask worker with daemon=True, setting n_jobs=1. Possible work-arounds: - dask.config.set({'distributed.worker.daemon': False}) - set the environment variable DASK_DISTRIBUTED__WORKER__DAEMON=False before creating your Dask cluster. Inside a Dask worker with daemon=True, setting n_jobs=1. Possible work-arounds: - dask.config.set({'distributed.worker.daemon': False}) - set the environment variable DASK_DISTRIBUTED__WORKER__DAEMON=False before creating your Dask cluster. Inside a Dask worker with daemon=True, setting n_jobs=1. Possible work-arounds: - dask.config.set({'distributed.worker.daemon': False}) - set the environment variable DASK_DISTRIBUTED__WORKER__DAEMON=False before creating your Dask cluster. Inside a Dask worker with daemon=True, setting n_jobs=1. Possible work-arounds: - dask.config.set({'distributed.worker.daemon': False}) - set the environment variable DASK_DISTRIBUTED__WORKER__DAEMON=False before creating your Dask cluster. Inside a Dask worker with daemon=True, setting n_jobs=1. Possible work-arounds: - dask.config.set({'distributed.worker.daemon': False}) - set the environment variable DASK_DISTRIBUTED__WORKER__DAEMON=False before creating your Dask cluster. Inside a Dask worker with daemon=True, setting n_jobs=1. Possible work-arounds: - dask.config.set({'distributed.worker.daemon': False}) - set the environment variable DASK_DISTRIBUTED__WORKER__DAEMON=False before creating your Dask cluster. Inside a Dask worker with daemon=True, setting n_jobs=1. Possible work-arounds: - dask.config.set({'distributed.worker.daemon': False}) - set the environment variable DASK_DISTRIBUTED__WORKER__DAEMON=False before creating your Dask cluster. Inside a Dask worker with daemon=True, setting n_jobs=1. Possible work-arounds: - dask.config.set({'distributed.worker.daemon': False}) - set the environment variable DASK_DISTRIBUTED__WORKER__DAEMON=False before creating your Dask cluster. Inside a Dask worker with daemon=True, setting n_jobs=1. Possible work-arounds: - dask.config.set({'distributed.worker.daemon': False}) - set the environment variable DASK_DISTRIBUTED__WORKER__DAEMON=False before creating your Dask cluster. Inside a Dask worker with daemon=True, setting n_jobs=1. Possible work-arounds: - dask.config.set({'distributed.worker.daemon': False}) - set the environment variable DASK_DISTRIBUTED__WORKER__DAEMON=False before creating your Dask cluster. Inside a Dask worker with daemon=True, setting n_jobs=1. Possible work-arounds: - dask.config.set({'distributed.worker.daemon': False}) - set the environment variable DASK_DISTRIBUTED__WORKER__DAEMON=False before creating your Dask cluster. Inside a Dask worker with daemon=True, setting n_jobs=1. Possible work-arounds: - dask.config.set({'distributed.worker.daemon': False}) - set the environment variable DASK_DISTRIBUTED__WORKER__DAEMON=False before creating your Dask cluster. reading sources... [ 96%] user_guide/component_graphs reading sources... [ 96%] user_guide/components reading sources... [ 96%] user_guide/data_check_actions reading sources... [ 97%] user_guide/data_checks reading sources... [ 97%] user_guide/faq reading sources... [ 98%] user_guide/model_understanding /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/sklearn/linear_model/_logistic.py:458: ConvergenceWarning: lbfgs failed to converge (status=1): STOP: TOTAL NO. of ITERATIONS REACHED LIMIT. Increase the number of iterations (max_iter) or scale the data as shown in: https://scikit-learn.org/stable/modules/preprocessing.html Please also refer to the documentation for alternative solver options: https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression n_iter_i = _check_optimize_result( reading sources... [ 98%] user_guide/objectives reading sources... [ 99%] user_guide/pipelines reading sources... [ 99%] user_guide/timeseries reading sources... [100%] user_guide/utilities You are using an unsupported version of pandoc (2.9.2.1). Your version must be at least (2.14.2) but less than (4.0.0). Refer to https://pandoc.org/installing.html. Continuing with doubts... /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/autoapi/evalml/data_checks/data_check_message/index.rst:72: WARNING: Inline interpreted text or phrase reference start-string without end-string. /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/autoapi/evalml/data_checks/index.rst:462: WARNING: Inline interpreted text or phrase reference start-string without end-string. /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/autoapi/evalml/model_understanding/metrics/index.rst:51: ERROR: Unexpected indentation. /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/autoapi/evalml/model_understanding/metrics/index.rst:52: WARNING: Block quote ends without a blank line; unexpected unindent. /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/release_notes.rst:69: WARNING: Inline interpreted text or phrase reference start-string without end-string. looking for now-outdated files... none found pickling environment... done checking consistency... done preparing documents... done writing output... 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The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _pt_shuffle_rec(i, indexes, index_mask, partition_tree, M, pos): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/utils/_clustering.py:54: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def delta_minimization_order(all_masks, max_swap_size=100, num_passes=2): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/utils/_clustering.py:63: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _reverse_window(order, start, length): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/utils/_clustering.py:69: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _reverse_window_score_gain(masks, order, start, length): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/utils/_clustering.py:77: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _mask_delta_score(m1, m2): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/links.py:5: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def identity(x): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/links.py:10: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _identity_inverse(x): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/links.py:15: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def logit(x): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/links.py:20: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _logit_inverse(x): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/utils/_masked_model.py:363: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _build_fixed_single_output(averaged_outs, last_outs, outputs, batch_positions, varying_rows, num_varying_rows, link, linearizing_weights): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/utils/_masked_model.py:385: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _build_fixed_multi_output(averaged_outs, last_outs, outputs, batch_positions, varying_rows, num_varying_rows, link, linearizing_weights): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/utils/_masked_model.py:428: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _init_masks(cluster_matrix, M, indices_row_pos, indptr): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/utils/_masked_model.py:439: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _rec_fill_masks(cluster_matrix, indices_row_pos, indptr, indices, M, ind): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/maskers/_tabular.py:186: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _single_delta_mask(dind, masked_inputs, last_mask, data, x, noop_code): loading translations [en]... done making output directory... done Adding disable-warnings.py and set-headers.py to /home/docs/.ipython/profile_default/startup [AutoAPI] Ignoring /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/evalml/tests/test_all_test_dirs_included.py [AutoAPI] Ignoring /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/evalml/tests/__init__.py [AutoAPI] Ignoring /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/evalml/tests/conftest.py [AutoAPI] Ignoring /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/evalml/tests/demo_tests/test_datasets.py [AutoAPI] Ignoring 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[100%] evalml.automl.automl_algorithm.automl_algorithm [autosummary] generating autosummary for: api_index.rst, demos/cost_benefit_matrix.ipynb, demos/fraud.ipynb, demos/lead_scoring.ipynb, demos/text_input.ipynb, index.ipynb, install.md, release_notes.rst, start.ipynb, tutorials.ipynb, ..., user_guide/component_graphs.ipynb, user_guide/components.ipynb, user_guide/data_check_actions.ipynb, user_guide/data_checks.ipynb, user_guide/faq.ipynb, user_guide/model_understanding.ipynb, user_guide/objectives.ipynb, user_guide/pipelines.ipynb, user_guide/timeseries.ipynb, user_guide/utilities.ipynb myst v0.16.1: MdParserConfig(renderer='sphinx', commonmark_only=False, enable_extensions=['dollarmath'], linkify_fuzzy_links=True, dmath_allow_labels=True, dmath_allow_space=True, dmath_allow_digits=True, dmath_double_inline=False, update_mathjax=True, mathjax_classes='tex2jax_process|mathjax_process|math|output_area', disable_syntax=[], url_schemes=['http', 'https', 'mailto', 'ftp'], heading_anchors=None, heading_slug_func=None, html_meta=[], footnote_transition=True, substitutions=[], sub_delimiters=['{', '}'], words_per_minute=200) building [mo]: targets for 0 po files that are out of date building [latex]: all documents updating environment: [new config] 225 added, 0 changed, 0 removed reading sources... 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[ 94%] start reading sources... [ 94%] tutorials reading sources... [ 95%] user_guide reading sources... [ 95%] user_guide/automl /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/utils/_clustering.py:35: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _pt_shuffle_rec(i, indexes, index_mask, partition_tree, M, pos): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/utils/_clustering.py:54: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def delta_minimization_order(all_masks, max_swap_size=100, num_passes=2): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/utils/_clustering.py:63: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _reverse_window(order, start, length): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/utils/_clustering.py:69: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _reverse_window_score_gain(masks, order, start, length): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/utils/_clustering.py:77: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _mask_delta_score(m1, m2): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/links.py:5: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def identity(x): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/links.py:10: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _identity_inverse(x): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/links.py:15: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def logit(x): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/links.py:20: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _logit_inverse(x): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/utils/_masked_model.py:363: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _build_fixed_single_output(averaged_outs, last_outs, outputs, batch_positions, varying_rows, num_varying_rows, link, linearizing_weights): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/utils/_masked_model.py:385: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _build_fixed_multi_output(averaged_outs, last_outs, outputs, batch_positions, varying_rows, num_varying_rows, link, linearizing_weights): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/utils/_masked_model.py:428: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _init_masks(cluster_matrix, M, indices_row_pos, indptr): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/utils/_masked_model.py:439: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _rec_fill_masks(cluster_matrix, indices_row_pos, indptr, indices, M, ind): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/maskers/_tabular.py:186: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _single_delta_mask(dind, masked_inputs, last_mask, data, x, noop_code): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/utils/_clustering.py:35: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _pt_shuffle_rec(i, indexes, index_mask, partition_tree, M, pos): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/utils/_clustering.py:54: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def delta_minimization_order(all_masks, max_swap_size=100, num_passes=2): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/utils/_clustering.py:63: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _reverse_window(order, start, length): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/utils/_clustering.py:69: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _reverse_window_score_gain(masks, order, start, length): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/utils/_clustering.py:77: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _mask_delta_score(m1, m2): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/links.py:5: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def identity(x): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/links.py:10: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _identity_inverse(x): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/links.py:15: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def logit(x): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/links.py:20: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _logit_inverse(x): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/utils/_masked_model.py:363: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _build_fixed_single_output(averaged_outs, last_outs, outputs, batch_positions, varying_rows, num_varying_rows, link, linearizing_weights): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/utils/_masked_model.py:385: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _build_fixed_multi_output(averaged_outs, last_outs, outputs, batch_positions, varying_rows, num_varying_rows, link, linearizing_weights): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/utils/_masked_model.py:428: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _init_masks(cluster_matrix, M, indices_row_pos, indptr): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/utils/_masked_model.py:439: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _rec_fill_masks(cluster_matrix, indices_row_pos, indptr, indices, M, ind): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/maskers/_tabular.py:186: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _single_delta_mask(dind, masked_inputs, last_mask, data, x, noop_code): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/maskers/_tabular.py:197: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _delta_masking(masks, x, curr_delta_inds, varying_rows_out, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/maskers/_image.py:175: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _jit_build_partition_tree(xmin, xmax, ymin, ymax, zmin, zmax, total_ywidth, total_zwidth, M, clustering, q): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/explainers/_partition.py:676: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def lower_credit(i, value, M, values, clustering): The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. Inside a Dask worker with daemon=True, setting n_jobs=1. Possible work-arounds: - dask.config.set({'distributed.worker.daemon': False}) - set the environment variable DASK_DISTRIBUTED__WORKER__DAEMON=False before creating your Dask cluster. Inside a Dask worker with daemon=True, setting n_jobs=1. Possible work-arounds: - dask.config.set({'distributed.worker.daemon': False}) - set the environment variable DASK_DISTRIBUTED__WORKER__DAEMON=False before creating your Dask cluster. Inside a Dask worker with daemon=True, setting n_jobs=1. Possible work-arounds: - dask.config.set({'distributed.worker.daemon': False}) - set the environment variable DASK_DISTRIBUTED__WORKER__DAEMON=False before creating your Dask cluster. Inside a Dask worker with daemon=True, setting n_jobs=1. Possible work-arounds: - dask.config.set({'distributed.worker.daemon': False}) - set the environment variable DASK_DISTRIBUTED__WORKER__DAEMON=False before creating your Dask cluster. Inside a Dask worker with daemon=True, setting n_jobs=1. Possible work-arounds: - dask.config.set({'distributed.worker.daemon': False}) - set the environment variable DASK_DISTRIBUTED__WORKER__DAEMON=False before creating your Dask cluster. Inside a Dask worker with daemon=True, setting n_jobs=1. Possible work-arounds: - dask.config.set({'distributed.worker.daemon': False}) - set the environment variable DASK_DISTRIBUTED__WORKER__DAEMON=False before creating your Dask cluster. Inside a Dask worker with daemon=True, setting n_jobs=1. Possible work-arounds: - dask.config.set({'distributed.worker.daemon': False}) - set the environment variable DASK_DISTRIBUTED__WORKER__DAEMON=False before creating your Dask cluster. /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/maskers/_tabular.py:197: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _delta_masking(masks, x, curr_delta_inds, varying_rows_out, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/maskers/_image.py:175: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _jit_build_partition_tree(xmin, xmax, ymin, ymax, zmin, zmax, total_ywidth, total_zwidth, M, clustering, q): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/explainers/_partition.py:676: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def lower_credit(i, value, M, values, clustering): The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. Inside a Dask worker with daemon=True, setting n_jobs=1. Possible work-arounds: - dask.config.set({'distributed.worker.daemon': False}) - set the environment variable DASK_DISTRIBUTED__WORKER__DAEMON=False before creating your Dask cluster. Inside a Dask worker with daemon=True, setting n_jobs=1. Possible work-arounds: - dask.config.set({'distributed.worker.daemon': False}) - set the environment variable DASK_DISTRIBUTED__WORKER__DAEMON=False before creating your Dask cluster. Inside a Dask worker with daemon=True, setting n_jobs=1. Possible work-arounds: - dask.config.set({'distributed.worker.daemon': False}) - set the environment variable DASK_DISTRIBUTED__WORKER__DAEMON=False before creating your Dask cluster. Inside a Dask worker with daemon=True, setting n_jobs=1. Possible work-arounds: - dask.config.set({'distributed.worker.daemon': False}) - set the environment variable DASK_DISTRIBUTED__WORKER__DAEMON=False before creating your Dask cluster. Inside a Dask worker with daemon=True, setting n_jobs=1. Possible work-arounds: - dask.config.set({'distributed.worker.daemon': False}) - set the environment variable DASK_DISTRIBUTED__WORKER__DAEMON=False before creating your Dask cluster. Inside a Dask worker with daemon=True, setting n_jobs=1. Possible work-arounds: - dask.config.set({'distributed.worker.daemon': False}) - set the environment variable DASK_DISTRIBUTED__WORKER__DAEMON=False before creating your Dask cluster. Inside a Dask worker with daemon=True, setting n_jobs=1. Possible work-arounds: - dask.config.set({'distributed.worker.daemon': False}) - set the environment variable DASK_DISTRIBUTED__WORKER__DAEMON=False before creating your Dask cluster. Inside a Dask worker with daemon=True, setting n_jobs=1. Possible work-arounds: - dask.config.set({'distributed.worker.daemon': False}) - set the environment variable DASK_DISTRIBUTED__WORKER__DAEMON=False before creating your Dask cluster. Inside a Dask worker with daemon=True, setting n_jobs=1. Possible work-arounds: - dask.config.set({'distributed.worker.daemon': False}) - set the environment variable DASK_DISTRIBUTED__WORKER__DAEMON=False before creating your Dask cluster. Inside a Dask worker with daemon=True, setting n_jobs=1. Possible work-arounds: - dask.config.set({'distributed.worker.daemon': False}) - set the environment variable DASK_DISTRIBUTED__WORKER__DAEMON=False before creating your Dask cluster. Inside a Dask worker with daemon=True, setting n_jobs=1. Possible work-arounds: - dask.config.set({'distributed.worker.daemon': False}) - set the environment variable DASK_DISTRIBUTED__WORKER__DAEMON=False before creating your Dask cluster. Inside a Dask worker with daemon=True, setting n_jobs=1. Possible work-arounds: - dask.config.set({'distributed.worker.daemon': False}) - set the environment variable DASK_DISTRIBUTED__WORKER__DAEMON=False before creating your Dask cluster. reading sources... [ 96%] user_guide/component_graphs reading sources... [ 96%] user_guide/components reading sources... [ 96%] user_guide/data_check_actions reading sources... [ 97%] user_guide/data_checks reading sources... [ 97%] user_guide/faq reading sources... [ 98%] user_guide/model_understanding /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/sklearn/linear_model/_logistic.py:458: ConvergenceWarning: lbfgs failed to converge (status=1): STOP: TOTAL NO. of ITERATIONS REACHED LIMIT. Increase the number of iterations (max_iter) or scale the data as shown in: https://scikit-learn.org/stable/modules/preprocessing.html Please also refer to the documentation for alternative solver options: https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression n_iter_i = _check_optimize_result( reading sources... [ 98%] user_guide/objectives reading sources... [ 99%] user_guide/pipelines reading sources... [ 99%] user_guide/timeseries reading sources... [100%] user_guide/utilities /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/maskers/_tabular.py:197: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _delta_masking(masks, x, curr_delta_inds, varying_rows_out, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/maskers/_image.py:175: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def _jit_build_partition_tree(xmin, xmax, ymin, ymax, zmin, zmax, total_ywidth, total_zwidth, M, clustering, q): /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/shap/explainers/_partition.py:676: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. def lower_credit(i, value, M, values, clustering): The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. You are using an unsupported version of pandoc (2.9.2.1). Your version must be at least (2.14.2) but less than (4.0.0). Refer to https://pandoc.org/installing.html. Continuing with doubts... /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/autoapi/evalml/data_checks/data_check_message/index.rst:72: WARNING: Inline interpreted text or phrase reference start-string without end-string. /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/autoapi/evalml/data_checks/index.rst:462: WARNING: Inline interpreted text or phrase reference start-string without end-string. /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/autoapi/evalml/model_understanding/metrics/index.rst:51: ERROR: Unexpected indentation. /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/autoapi/evalml/model_understanding/metrics/index.rst:52: WARNING: Block quote ends without a blank line; unexpected unindent. /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/release_notes.rst:69: WARNING: Inline interpreted text or phrase reference start-string without end-string. looking for now-outdated files... none found pickling environment... done checking consistency... done processing EvalML.tex... index install start tutorials demos/fraud demos/lead_scoring demos/cost_benefit_matrix demos/text_input user_guide user_guide/automl user_guide/pipelines user_guide/component_graphs user_guide/components user_guide/objectives user_guide/model_understanding user_guide/data_checks user_guide/data_check_actions user_guide/utilities user_guide/timeseries user_guide/faq api_index autoapi/evalml/index autoapi/evalml/automl/index autoapi/evalml/automl/automl_algorithm/index autoapi/evalml/automl/automl_algorithm/automl_algorithm/index autoapi/evalml/automl/automl_algorithm/default_algorithm/index autoapi/evalml/automl/automl_algorithm/iterative_algorithm/index 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autoapi/evalml/data_checks/default_data_checks/index autoapi/evalml/data_checks/id_columns_data_check/index autoapi/evalml/data_checks/invalid_target_data_check/index autoapi/evalml/data_checks/multicollinearity_data_check/index autoapi/evalml/data_checks/no_variance_data_check/index autoapi/evalml/data_checks/null_data_check/index autoapi/evalml/data_checks/outliers_data_check/index autoapi/evalml/data_checks/sparsity_data_check/index autoapi/evalml/data_checks/target_distribution_data_check/index autoapi/evalml/data_checks/target_leakage_data_check/index autoapi/evalml/data_checks/ts_parameters_data_check/index autoapi/evalml/data_checks/ts_splitting_data_check/index autoapi/evalml/data_checks/uniqueness_data_check/index autoapi/evalml/data_checks/utils/index autoapi/evalml/demos/index autoapi/evalml/demos/breast_cancer/index autoapi/evalml/demos/churn/index autoapi/evalml/demos/diabetes/index autoapi/evalml/demos/fraud/index autoapi/evalml/demos/weather/index 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nsformer Underfull \hbox (badness 10000) in paragraph at lines 5882--5884 []\T1/txtt/m/n/10 inverse_transform() Overfull \hbox (80.8125pt too wide) in paragraph at lines 5882--5884 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.components.transformers.Polyno mialDecomposer Underfull \hbox (badness 10000) in paragraph at lines 5884--5886 []\T1/txtt/m/n/10 inverse_transform() Overfull \hbox (94.01248pt too wide) in paragraph at lines 5884--5886 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.components.transformers.prepro cessing.Decomposer Underfull \hbox (badness 10000) in paragraph at lines 5886--5888 []\T1/txtt/m/n/10 inverse_transform() Overfull \hbox (144.13249pt too wide) in paragraph at lines 5886--5888 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.components.transformers.prepro cessing.decomposer.Decomposer Underfull \hbox (badness 10000) in paragraph at lines 5888--5890 []\T1/txtt/m/n/10 inverse_transform() Overfull \hbox (175.3024pt too wide) in paragraph at lines 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ective.MulticlassClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 6059--6061 []\T1/txtt/m/n/10 is_defined_for_problem_type() Overfull \hbox (19.25247pt too wide) in paragraph at lines 6059--6061 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 6061--6063 []\T1/txtt/m/n/10 is_defined_for_problem_type() Overfull \hbox (3.64247pt too wide) in paragraph at lines 6061--6063 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.objective_base.ObjectiveBase Underfull \hbox (badness 10000) in paragraph at lines 6063--6065 []\T1/txtt/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 6063--6065 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.ObjectiveBase class Underfull \hbox (badness 10000) in paragraph at lines 6065--6067 []\T1/txtt/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 6065--6067 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(badness 10000) in paragraph at lines 6085--6087 []\T1/txtt/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 6085--6087 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.RegressionObjective class Underfull \hbox (badness 10000) in paragraph at lines 6087--6089 []\T1/txtt/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 6087--6089 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 6089--6091 []\T1/txtt/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 6089--6091 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 6091--6093 []\T1/txtt/m/n/10 is_defined_for_problem_type() Overfull \hbox (48.63248pt too wide) in paragraph at lines 6091--6093 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.sensitivity_low_alert.Sensiti vityLowAlert Underfull \hbox (badness 10000) in paragraph at lines 6093--6095 []\T1/txtt/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 6093--6095 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.SensitivityLowAlert class Underfull \hbox (badness 10000) in paragraph at lines 6095--6097 []\T1/txtt/m/n/10 is_defined_for_problem_type() Overfull \hbox (21.33249pt too wide) in paragraph at lines 6095--6097 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.standard_metrics.AccuracyBina ry Underfull \hbox (badness 10000) in paragraph at lines 6097--6099 []\T1/txtt/m/n/10 is_defined_for_problem_type() Overfull \hbox (35.48248pt too wide) in paragraph at lines 6097--6099 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.standard_metrics.AccuracyMult iclass Underfull \hbox (badness 10000) in paragraph at lines 6099--6101 []\T1/txtt/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 6099--6101 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.standard_metrics.AUC Underfull \hbox (badness 10000) in paragraph at lines 6101--6103 []\T1/txtt/m/n/10 is_defined_for_problem_type() Overfull \hbox (2.36247pt too wide) in paragraph at lines 6101--6103 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.standard_metrics.AUCMacro Underfull \hbox (badness 10000) in paragraph at lines 6103--6105 []\T1/txtt/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 6105--6107 []\T1/txtt/m/n/10 is_defined_for_problem_type() Overfull \hbox (12.97247pt too wide) in paragraph at lines 6105--6107 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.standard_metrics.AUCWeighted Underfull \hbox (badness 10000) in paragraph at lines 6107--6109 []\T1/txtt/m/n/10 is_defined_for_problem_type() Overfull \hbox (59.1025pt too wide) in paragraph at lines 6107--6109 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.standard_metrics.BalancedAccu racyBinary Underfull \hbox (badness 10000) in paragraph at lines 6109--6111 []\T1/txtt/m/n/10 is_defined_for_problem_type() Overfull \hbox (73.25249pt too wide) in paragraph at lines 6109--6111 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.standard_metrics.BalancedAccu racyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 6111--6113 []\T1/txtt/m/n/10 is_defined_for_problem_type() Overfull \hbox (8.06247pt too wide) in paragraph at lines 6111--6113 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.standard_metrics.ExpVariance Underfull \hbox (badness 10000) in paragraph at lines 6113--6115 []\T1/txtt/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 6113--6115 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.standard_metrics.F1 class Underfull \hbox (badness 10000) in paragraph at lines 6115--6117 []\T1/txtt/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 6115--6117 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.standard_metrics.F1Macro Underfull \hbox (badness 10000) in paragraph at lines 6117--6119 []\T1/txtt/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 6117--6119 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.standard_metrics.F1Micro Underfull \hbox (badness 10000) in paragraph at lines 6119--6121 []\T1/txtt/m/n/10 is_defined_for_problem_type() Overfull \hbox (4.63248pt too wide) in paragraph at lines 6119--6121 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.standard_metrics.F1Weighted Underfull \hbox (badness 10000) in paragraph at lines 6121--6123 []\T1/txtt/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 6121--6123 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.standard_metrics.Gini Underfull \hbox (badness 10000) in paragraph at lines 6123--6125 []\T1/txtt/m/n/10 is_defined_for_problem_type() Overfull \hbox (17.92247pt too wide) in paragraph at lines 6123--6125 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.standard_metrics.LogLossBinar y Underfull \hbox (badness 10000) in paragraph at lines 6125--6127 []\T1/txtt/m/n/10 is_defined_for_problem_type() Overfull \hbox (32.07246pt too wide) in paragraph at lines 6125--6127 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.standard_metrics.LogLossMulti class Underfull \hbox (badness 10000) in paragraph at lines 6127--6129 []\T1/txtt/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 6127--6129 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.standard_metrics.MAE Underfull \hbox (badness 10000) in paragraph at lines 6129--6131 []\T1/txtt/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 6129--6131 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.standard_metrics.MAPE Underfull \hbox (badness 10000) in paragraph at lines 6131--6133 []\T1/txtt/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 6131--6133 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.standard_metrics.MaxError Underfull \hbox (badness 10000) in paragraph at lines 6133--6135 []\T1/txtt/m/n/10 is_defined_for_problem_type() Overfull \hbox (5.69247pt too wide) in paragraph at lines 6133--6135 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.standard_metrics.MCCBinary Underfull \hbox (badness 10000) in paragraph at lines 6135--6137 []\T1/txtt/m/n/10 is_defined_for_problem_type() Overfull \hbox (19.84247pt too wide) in paragraph at lines 6135--6137 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.standard_metrics.MCCMulticlas s Underfull \hbox (badness 10000) in paragraph at lines 6137--6139 []\T1/txtt/m/n/10 is_defined_for_problem_type() Overfull \hbox (50.29245pt too wide) in paragraph at lines 6137--6139 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.standard_metrics.MeanSquaredL ogError Underfull \hbox (badness 10000) in paragraph at lines 6139--6141 []\T1/txtt/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 6139--6141 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.standard_metrics.MedianAE Underfull \hbox (badness 10000) in paragraph at lines 6141--6143 []\T1/txtt/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 6141--6143 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.standard_metrics.MSE Underfull \hbox (badness 10000) in paragraph at lines 6143--6145 []\T1/txtt/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 6143--6145 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.standard_metrics.Precision Underfull \hbox (badness 10000) in paragraph at lines 6145--6147 []\T1/txtt/m/n/10 is_defined_for_problem_type() Overfull \hbox (20.94246pt too wide) in paragraph at lines 6145--6147 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.standard_metrics.PrecisionMac ro Underfull \hbox (badness 10000) in paragraph at lines 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(\T1/qtm/m/it/10 evalml.objectives.standard_metrics.RootMeanSqua redError Underfull \hbox (badness 10000) in paragraph at lines 6163--6165 []\T1/txtt/m/n/10 is_defined_for_problem_type() Overfull \hbox (68.88246pt too wide) in paragraph at lines 6163--6165 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.standard_metrics.RootMeanSqua redLogError Underfull \hbox (badness 10000) in paragraph at lines 6165--6167 []\T1/txtt/m/n/10 is_defined_for_problem_type() Overfull \hbox (145.92244pt too wide) in paragraph at lines 6165--6167 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.time_series_regression_object ive.TimeSeriesRegressionObjective Overfull \hbox (67.61229pt too wide) in paragraph at lines 6167--6169 []\T1/txtt/m/n/10 is_freq_valid() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipeli nes.components.PolynomialDecomposer Overfull \hbox (38.32228pt too wide) in paragraph at lines 6169--6171 []\T1/txtt/m/n/10 is_freq_valid() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipeli nes.components.STLDecomposer Overfull \hbox (121.23227pt too wide) in paragraph at lines 6171--6173 []\T1/txtt/m/n/10 is_freq_valid() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipeli nes.components.transformers.PolynomialDecomposer Overfull \hbox (134.43225pt too wide) in paragraph at lines 6173--6175 []\T1/txtt/m/n/10 is_freq_valid() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipeli nes.components.transformers.preprocessing.Decomposer Overfull \hbox (184.55226pt too wide) in paragraph at lines 6175--6177 []\T1/txtt/m/n/10 is_freq_valid() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipeli nes.components.transformers.preprocessing.decomposer.Decomposer Overfull \hbox (279.96227pt too wide) in paragraph at lines 6177--6179 []\T1/txtt/m/n/10 is_freq_valid() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipeli nes.components.transformers.preprocessing.polynomial_decomposer.PolynomialDecom poser Overfull \hbox (179.84225pt too wide) in paragraph at lines 6179--6181 []\T1/txtt/m/n/10 is_freq_valid() 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(\T1/qtm/m/it/10 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 6193--6195 []\T1/txtt/m/n/10 is_search_space_exhausted() Overfull \hbox (14.35246pt too wide) in paragraph at lines 6193--6195 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.tuners.grid_search_tuner.GridSearchTuner Underfull \hbox (badness 10000) in paragraph at lines 6195--6197 []\T1/txtt/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 6195--6197 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.tuners.GridSearchTuner method\T1/qtm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 6197--6199 []\T1/txtt/m/n/10 is_search_space_exhausted() Overfull \hbox (43.18246pt too wide) in paragraph at lines 6197--6199 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.tuners.random_search_tuner.RandomSearchT uner Underfull \hbox (badness 10000) in paragraph at lines 6199--6201 []\T1/txtt/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 6199--6201 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essing.data_splitters.sk_splitters\T1/qtm/m/n/10 ), Underfull \hbox (badness 6859) in paragraph at lines 6232--6233 []\T1/txtt/m/n/10 KNeighborsClassifier \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class in evalml.pipelines\T1/qtm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 6233--6235 []\T1/txtt/m/n/10 KNeighborsClassifier \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 6235--6237 []\T1/txtt/m/n/10 KNeighborsClassifier \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 6235--6237 \T1/qtm/m/it/10 evalml.pipelines.components.estimators\T1/qtm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 6237--6239 []\T1/txtt/m/n/10 KNeighborsClassifier \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class in Overfull \hbox (17.46748pt too wide) in paragraph at lines 6237--6239 \T1/qtm/m/it/10 evalml.pipelines.components.estimators.classifiers\T1/qtm/m/n/1 0 ), Underfull \hbox (badness 10000) in 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evalml.objectives.Multic lassClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 7421--7423 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.object ive_base.ObjectiveBase Overfull \hbox (33.75237pt too wide) in paragraph at lines 7424--7426 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.regres sion_objective.RegressionObjective Overfull \hbox (128.59238pt too wide) in paragraph at lines 7427--7429 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.time_s eries_regression_objective.TimeSeriesRegressionObjective Overfull \hbox (103.41245pt too wide) in paragraph at lines 7429--7431 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.binary_ classification_pipeline.BinaryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 7431--7433 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.BinaryC lassificationPipeline Overfull \hbox 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name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.compone nts.estimators.classifiers.vowpal_wabbit_classifiers.VowpalWabbitBaseClassifier Overfull \hbox (36.36241pt too wide) in paragraph at lines 7450--7452 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.compone nts.estimators.estimator.Estimator Underfull \hbox (badness 10000) in paragraph at lines 7452--7454 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.compone nts.FeatureSelector Overfull \hbox (2.88245pt too wide) in paragraph at lines 7454--7456 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.compone nts.StackedEnsembleBase Underfull \hbox (badness 10000) in paragraph at lines 7456--7458 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.compone nts.Transformer prop- Overfull \hbox (104.11243pt too wide) in paragraph at lines 7458--7460 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.compone nts.transformers.column_selectors.ColumnSelector Overfull \hbox (167.63234pt too wide) in paragraph at lines 7460--7462 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.compone nts.transformers.feature_selection.feature_selector.FeatureSelector Overfull \hbox (101.54237pt too wide) in paragraph at lines 7462--7464 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.compone nts.transformers.feature_selection.FeatureSelector Overfull \hbox (345.71231pt too wide) in paragraph at lines 7464--7466 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.compone nts.transformers.feature_selection.recursive_feature_elimination_selector.Recur siveFeatureEliminationSelector Overfull \hbox (30.7624pt too wide) in paragraph at lines 7466--7468 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.compone nts.transformers.FeatureSelector Overfull \hbox (160.24236pt too wide) in paragraph at lines 7468--7470 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.compone nts.transformers.preprocessing.text_transformer.TextTransformer Overfull \hbox (91.77237pt too wide) in paragraph at lines 7470--7472 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.compone nts.transformers.preprocessing.TextTransformer Overfull \hbox (116.11244pt too wide) in paragraph at lines 7472--7474 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.compone nts.transformers.samplers.base_sampler.BaseSampler Overfull \hbox (16.84238pt too wide) in paragraph at lines 7474--7476 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.compone nts.transformers.Transformer Overfull \hbox (66.02235pt too wide) in paragraph at lines 7476--7478 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.compone nts.transformers.transformer.Transformer Overfull \hbox (131.71243pt too wide) in paragraph at lines 7480--7482 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.multicl ass_classification_pipeline.MulticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 7482--7484 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.Multicl assClassificationPipeline Overfull \hbox (21.9024pt too wide) in paragraph at lines 7487--7489 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.regress ion_pipeline.RegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 7489--7490 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.Regress ionPipeline prop-erty\T1/qtm/m/n/10 ), Overfull \hbox (170.73245pt too wide) in paragraph at lines 7491--7493 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.time_se ries_classification_pipelines.TimeSeriesBinaryClassificationPipeline Overfull \hbox (143.21245pt too wide) in paragraph at lines 7493--7495 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.time_se ries_classification_pipelines.TimeSeriesClassificationPipeline Overfull \hbox (184.88245pt too wide) in paragraph at lines 7495--7497 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.time_se ries_classification_pipelines.TimeSeriesMulticlassClassificationPipeline Overfull \hbox (69.30246pt too wide) in paragraph at lines 7497--7499 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.time_se ries_pipeline_base.TimeSeriesPipelineBase Overfull \hbox (116.74242pt too wide) in paragraph at lines 7499--7501 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.time_se ries_regression_pipeline.TimeSeriesRegressionPipeline Overfull \hbox (23.79245pt too wide) in paragraph at lines 7501--7503 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.TimeSer iesBinaryClassificationPipeline Overfull \hbox (37.94244pt too wide) in paragraph at lines 7505--7507 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.TimeSer iesMulticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 7507--7509 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.TimeSer iesRegressionPipeline Overfull \hbox (115.34233pt too wide) in paragraph at lines 7510--7512 []\T1/txtt/m/n/10 name() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.data_checks.cla ss_imbalance_data_check.ClassImbalanceDataCheck Underfull \hbox (badness 10000) in paragraph at lines 7514--7516 []\T1/txtt/m/n/10 name() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.data_checks.dat a_check.DataCheck Overfull \hbox (79.89235pt too wide) in paragraph at lines 7516--7518 []\T1/txtt/m/n/10 name() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.data_checks.dat a_check_action_code.DataCheckActionCode Overfull \hbox (140.44235pt too wide) in paragraph at lines 7518--7520 []\T1/txtt/m/n/10 name() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.data_checks.dat a_check_action_option.DCAOParameterAllowedValuesType Overfull \hbox (81.54237pt too wide) in paragraph at lines 7520--7522 []\T1/txtt/m/n/10 name() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.data_checks.dat a_check_action_option.DCAOParameterType [2092] Overfull \hbox (96.95233pt too wide) in paragraph at lines 7522--7524 []\T1/txtt/m/n/10 name() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.data_checks.dat a_check_message_code.DataCheckMessageCode Overfull \hbox (92.36234pt too wide) in paragraph at lines 7524--7526 []\T1/txtt/m/n/10 name() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.data_checks.dat a_check_message_type.DataCheckMessageType Underfull \hbox (badness 10000) in paragraph at lines 7527--7528 []\T1/txtt/m/n/10 name() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.data_checks.Dat aCheckActionCode Underfull \hbox (badness 10000) in paragraph at lines 7528--7530 []\T1/txtt/m/n/10 name() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.data_checks.Dat aCheckMessageCode Underfull \hbox (badness 10000) in 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7099) in paragraph at lines 8358--8360 []\T1/txtt/m/n/10 objective_function() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.o bjectives.MedianAE Underfull \hbox (badness 10000) in paragraph at lines 8360--8361 []\T1/txtt/m/n/10 objective_function() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.o bjectives.MSE Underfull \hbox (badness 10000) in paragraph at lines 8361--8363 []\T1/txtt/m/n/10 objective_function() Overfull \hbox (160.89246pt too wide) in paragraph at lines 8361--8363 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.multiclass_classification_obj ective.MulticlassClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 8363--8365 []\T1/txtt/m/n/10 objective_function() Overfull \hbox (19.25247pt too wide) in paragraph at lines 8363--8365 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 8365--8367 []\T1/txtt/m/n/10 objective_function() Overfull \hbox (3.64247pt too wide) in 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in paragraph at lines 9794--9796 []\T1/txtt/m/n/10 predict() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.El asticNetClassifier Underfull \hbox (badness 10000) in paragraph at lines 9796--9798 []\T1/txtt/m/n/10 predict() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.El asticNetRegressor [2115] Overfull \hbox (20.65236pt too wide) in paragraph at lines 9799--9801 []\T1/txtt/m/n/10 predict() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.Ex ponentialSmoothingRegressor Underfull \hbox (badness 10000) in paragraph at lines 9801--9803 []\T1/txtt/m/n/10 predict() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.Ex traTreesClassifier Underfull \hbox (badness 10000) in paragraph at lines 9803--9805 []\T1/txtt/m/n/10 predict() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.Ex traTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 9805--9807 []\T1/txtt/m/n/10 predict() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.KN eighborsClassifier Underfull \hbox (badness 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(\T1/qtm/m/it/10 evalml.pipeli nes.components.VowpalWabbitBinaryClassifier Overfull \hbox (109.72227pt too wide) in paragraph at lines 10137--10139 []\T1/txtt/m/n/10 predict_proba() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipeli nes.components.VowpalWabbitMulticlassClassifier Overfull \hbox (69.61227pt too wide) in paragraph at lines 10139--10141 []\T1/txtt/m/n/10 predict_proba() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipeli nes.components.VowpalWabbitRegressor Overfull \hbox (46.01227pt too wide) in paragraph at lines 10141--10143 []\T1/txtt/m/n/10 predict_proba() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipeli nes.components.XGBoostClassifier Overfull \hbox (47.57227pt too wide) in paragraph at lines 10143--10145 []\T1/txtt/m/n/10 predict_proba() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipeli nes.components.XGBoostRegressor Overfull \hbox (12.06224pt too wide) in paragraph at lines 10145--10147 []\T1/txtt/m/n/10 predict_proba() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipeli nes.DecisionTreeClassifier Overfull \hbox (13.62224pt too wide) in paragraph at lines 10147--10149 []\T1/txtt/m/n/10 predict_proba() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipeli nes.DecisionTreeRegressor Overfull \hbox (0.85225pt too wide) in paragraph at lines 10149--10151 []\T1/txtt/m/n/10 predict_proba() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipeli nes.ElasticNetClassifier Overfull \hbox (2.41225pt too wide) in paragraph at lines 10151--10153 []\T1/txtt/m/n/10 predict_proba() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipeli nes.ElasticNetRegressor Overfull \hbox (52.15227pt too wide) in paragraph at lines 10154--10156 []\T1/txtt/m/n/10 predict_proba() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipeli nes.ExponentialSmoothingRegressor Overfull \hbox (2.77223pt too wide) in paragraph at lines 10156--10158 []\T1/txtt/m/n/10 predict_proba() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipeli nes.ExtraTreesClassifier Overfull \hbox (4.33223pt too wide) in paragraph at lines 10158--10160 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me_series_classification_pipelines.TimeSeriesBinaryClassificationPipeline Overfull \hbox (50.04237pt too wide) in paragraph at lines 11625--11627 []\T1/txtt/m/n/10 threshold \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.Ti meSeriesBinaryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 11628--11630 []\T1/txtt/m/n/10 TimeSeriesBaselineEstimator \T1/qtm/m/n/10 (\T1/qtm/m/it/10 c lass in Underfull \hbox (badness 10000) in paragraph at lines 11630--11632 []\T1/txtt/m/n/10 TimeSeriesBaselineEstimator \T1/qtm/m/n/10 (\T1/qtm/m/it/10 c lass in Underfull \hbox (badness 10000) in paragraph at lines 11630--11632 \T1/qtm/m/it/10 evalml.pipelines.components.estimators\T1/qtm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 11632--11634 []\T1/txtt/m/n/10 TimeSeriesBaselineEstimator \T1/qtm/m/n/10 (\T1/qtm/m/it/10 c lass in Overfull \hbox (18.88745pt too wide) in paragraph at lines 11632--11634 \T1/qtm/m/it/10 evalml.pipelines.components.estimators.regressors\T1/qtm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 11634--11636 []\T1/txtt/m/n/10 TimeSeriesBaselineEstimator \T1/qtm/m/n/10 (\T1/qtm/m/it/10 c lass in Overfull \hbox (148.30246pt too wide) in paragraph at lines 11634--11636 \T1/qtm/m/it/10 evalml.pipelines.components.estimators.regressors.time_series_b aseline_estimator\T1/qtm/m/n/10 ), Overfull \hbox (37.41748pt too wide) in paragraph at lines 11638--11640 \T1/qtm/m/it/10 in evalml.pipelines.time_series_classification_pipelines\T1/qtm /m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 11640--11642 []\T1/txtt/m/n/10 TimeSeriesClassificationPipeline \T1/qtm/m/n/10 (\T1/qtm/m/it /10 class in Underfull \hbox (badness 10000) in paragraph at lines 11642--11644 []\T1/txtt/m/n/10 TimeSeriesClassificationPipeline \T1/qtm/m/n/10 (\T1/qtm/m/it /10 class in Overfull \hbox (27.96748pt too wide) in paragraph at lines 11642--11644 \T1/qtm/m/it/10 evalml.pipelines.time_series_classification_pipelines\T1/qtm/m/ n/10 ), [2134] Underfull \hbox (badness 6859) in paragraph at lines 11644--11645 []\T1/txtt/m/n/10 TimeSeriesFeaturizer \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class in evalml.pipelines\T1/qtm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 11645--11647 []\T1/txtt/m/n/10 TimeSeriesFeaturizer \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 11647--11649 []\T1/txtt/m/n/10 TimeSeriesFeaturizer \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 11647--11649 \T1/qtm/m/it/10 evalml.pipelines.components.transformers\T1/qtm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 11649--11651 []\T1/txtt/m/n/10 TimeSeriesFeaturizer \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class in Overfull \hbox (43.47247pt too wide) in paragraph at lines 11649--11651 \T1/qtm/m/it/10 evalml.pipelines.components.transformers.preprocessing\T1/qtm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 11651--11653 []\T1/txtt/m/n/10 TimeSeriesFeaturizer \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class in Overfull \hbox (135.62245pt too wide) in paragraph at lines 11651--11653 \T1/qtm/m/it/10 evalml.pipelines.components.transformers.preprocessing.time_ser ies_featurizer\T1/qtm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 11654--11656 []\T1/txtt/m/n/10 TimeSeriesImputer \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 11656--11658 []\T1/txtt/m/n/10 TimeSeriesImputer \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 11656--11658 \T1/qtm/m/it/10 evalml.pipelines.components.transformers\T1/qtm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 11658--11660 []\T1/txtt/m/n/10 TimeSeriesImputer \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class in Overfull \hbox (22.11748pt too wide) in paragraph at lines 11658--11660 \T1/qtm/m/it/10 evalml.pipelines.components.transformers.imputers\T1/qtm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 11660--11662 []\T1/txtt/m/n/10 TimeSeriesImputer \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class in Overfull \hbox (106.5825pt too wide) in paragraph at lines 11660--11662 \T1/qtm/m/it/10 evalml.pipelines.components.transformers.imputers.time_series_i mputer\T1/qtm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 11662--11664 []\T1/txtt/m/n/10 TimeSeriesMulticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 11664--11666 []\T1/txtt/m/n/10 TimeSeriesMulticlassClassificationPipeline Overfull \hbox (62.41748pt too wide) in paragraph at lines 11664--11666 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class in evalml.pipelines.time_series_classific ation_pipelines\T1/qtm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 11666--11668 []\T1/txtt/m/n/10 TimeSeriesParametersDataCheck \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class in Underfull \hbox 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TimeSeriesRegressionPipeline \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 11676--11678 []\T1/txtt/m/n/10 TimeSeriesRegressionPipeline \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class in Overfull \hbox (12.66248pt too wide) in paragraph at lines 11676--11678 \T1/qtm/m/it/10 evalml.pipelines.time_series_regression_pipeline\T1/qtm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 11679--11681 []\T1/txtt/m/n/10 TimeSeriesRegularizer \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class i n Underfull \hbox (badness 10000) in paragraph at lines 11681--11683 []\T1/txtt/m/n/10 TimeSeriesRegularizer \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class i n Underfull \hbox (badness 10000) in paragraph at lines 11681--11683 \T1/qtm/m/it/10 evalml.pipelines.components.transformers\T1/qtm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 11683--11685 []\T1/txtt/m/n/10 TimeSeriesRegularizer \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class i n Overfull \hbox (43.47247pt too 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(\T1/qtm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 13159--13161 []\T1/txtt/m/n/10 WrappedSKRegressor \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class in Overfull \hbox (47.99223pt too wide) in paragraph at lines 13161--13163 []\T1/txtt/m/n/10 write_to_logger() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.auto ml.engine.engine_base.JobLogger Underfull \hbox (badness 10000) in paragraph at lines 13167--13169 []\T1/txtt/m/n/10 XGBoostClassifier \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 13169--13171 []\T1/txtt/m/n/10 XGBoostClassifier \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 13169--13171 \T1/qtm/m/it/10 evalml.pipelines.components.estimators\T1/qtm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 13171--13173 []\T1/txtt/m/n/10 XGBoostClassifier \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class in Overfull \hbox (17.46748pt too wide) in paragraph at lines 13171--13173 \T1/qtm/m/it/10 evalml.pipelines.components.estimators.classifiers\T1/qtm/m/n/1 0 ), Underfull \hbox (badness 10000) in paragraph at lines 13173--13175 []\T1/txtt/m/n/10 XGBoostClassifier \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class in Overfull \hbox (92.5425pt too wide) in paragraph at lines 13173--13175 \T1/qtm/m/it/10 evalml.pipelines.components.estimators.classifiers.xgboost_clas sifier\T1/qtm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 13176--13178 []\T1/txtt/m/n/10 XGBoostRegressor \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 13178--13180 []\T1/txtt/m/n/10 XGBoostRegressor \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 13178--13180 \T1/qtm/m/it/10 evalml.pipelines.components.estimators\T1/qtm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 13180--13182 []\T1/txtt/m/n/10 XGBoostRegressor \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class in Overfull \hbox (18.88745pt too wide) in paragraph at lines 13180--13182 \T1/qtm/m/it/10 evalml.pipelines.components.estimators.regressors\T1/qtm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 13182--13184 []\T1/txtt/m/n/10 XGBoostRegressor \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class in Overfull \hbox (95.38243pt too wide) in paragraph at lines 13182--13184 \T1/qtm/m/it/10 evalml.pipelines.components.estimators.regressors.xgboost_regre ssor\T1/qtm/m/n/10 ), [2153]) (./feature-labs-inc-evalml.aux) ) (see the transcript file for additional information){/usr/share/texmf/fonts/enc /dvips/tex-gyre/q-ts1.enc}{/usr/share/texmf/fonts/enc/dvips/tex-gyre/q-ec.enc}{ /usr/share/texlive/texmf-dist/fonts/enc/dvips/base/8r.enc} Output written on feature-labs-inc-evalml.pdf (2157 pages, 6579597 bytes). Transcript written on feature-labs-inc-evalml.log. Latexmk: Index file 'feature-labs-inc-evalml.idx' was written Latexmk: Log file says output to 'feature-labs-inc-evalml.pdf' Latexmk: Examining 'feature-labs-inc-evalml.log' === TeX engine is 'pdfTeX' Latexmk: Errors, in force_mode: so I tried finishing targets Collected error summary (may duplicate other messages): pdflatex: Command for 'pdflatex' gave return code 1 Refer to 'feature-labs-inc-evalml.log' for details