Read the Docs build information Build id: 1579837 Project: feature-labs-inc-evalml Version: main Commit: 60db76ca94c44fa6d3b183a632aa1baae5b0f42e Date: 2023-07-05T18:03:55.917178Z State: finished Success: True [rtd-command-info] start-time: 2023-07-05T18:04:05.249095Z, end-time: 2023-07-05T18:04:10.564734Z, duration: 5, exit-code: 0 git clone --no-single-branch --depth 50 https://github.com/alteryx/evalml.git . Cloning into '.'... [rtd-command-info] start-time: 2023-07-05T18:04:11.408340Z, end-time: 2023-07-05T18:04:11.634936Z, 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 60db76ca Add SMAPE metric (#4220) [rtd-command-info] start-time: 2023-07-05T18:04:12.014620Z, end-time: 2023-07-05T18:04:12.087288Z, duration: 0, exit-code: 0 git clean -d -f -f [rtd-command-info] start-time: 2023-07-05T18:04:12.549639Z, end-time: 2023-07-05T18:04:12.636025Z, 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: 2023-07-05T18:04:14.934567Z, end-time: 2023-07-05T18:04:17.784342Z, 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/universe amd64 Packages [947 kB] Get:5 http://security.ubuntu.com/ubuntu jammy-security/main amd64 Packages [685 kB] Get:6 http://security.ubuntu.com/ubuntu jammy-security/restricted amd64 Packages [633 kB] Get:7 http://security.ubuntu.com/ubuntu jammy-security/multiverse amd64 Packages [43.2 kB] Get:8 http://archive.ubuntu.com/ubuntu jammy-backports InRelease [108 kB] Get:9 http://archive.ubuntu.com/ubuntu jammy-updates/universe amd64 Packages [1199 kB] Get:10 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 Packages [983 kB] Get:11 http://archive.ubuntu.com/ubuntu jammy-updates/multiverse amd64 Packages [59.5 kB] Get:12 http://archive.ubuntu.com/ubuntu jammy-updates/restricted amd64 Packages [697 kB] Get:13 http://archive.ubuntu.com/ubuntu jammy-backports/main amd64 Packages [49.4 kB] Get:14 http://archive.ubuntu.com/ubuntu jammy-backports/universe amd64 Packages [25.5 kB] Fetched 5658 kB in 2s (2888 kB/s) Reading package lists... [rtd-command-info] start-time: 2023-07-05T18:04:18.584333Z, end-time: 2023-07-05T18:04:21.257064Z, duration: 2, 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. 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(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: 2023-07-05T18:04:25.730678Z, end-time: 2023-07-05T18:04:25.824214Z, duration: 0, exit-code: 0 asdf global python 3.8.17 [rtd-command-info] start-time: 2023-07-05T18:04:26.615981Z, end-time: 2023-07-05T18:04:27.633377Z, duration: 1, exit-code: 0 python -mvirtualenv $READTHEDOCS_VIRTUALENV_PATH created virtual environment CPython3.8.17.final.0-64 in 687ms 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: 2023-07-05T18:04:28.300947Z, end-time: 2023-07-05T18:04:37.410758Z, 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-10.0.0-cp38-cp38-manylinux_2_28_x86_64.whl (3.4 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3.4/3.4 MB 13.8 MB/s eta 0:00:00 Collecting mock==1.0.1 Downloading mock-1.0.1.zip (861 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 861.9/861.9 kB 31.2 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 187.0 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-1r4eh47v/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-10.0.0 pytz-2023.3 readthedocs-sphinx-ext-2.2.2 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: 2023-07-05T18:04:45.950880Z, end-time: 2023-07-05T18:04:46.858777Z, 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: 2023-07-05T18:04:47.328796Z, end-time: 2023-07-05T18:06:33.995882Z, duration: 106, 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=23e40ca3a93d00c4081f1508cfc14bc950ad50406659be88fa775872c7511a62 Stored in directory: /tmp/pip-ephem-wheel-cache-hmqp2qf8/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=6553329 sha256=16c89c9025fae1b10b76ac0003bf1c25ac314afddc574d683dc01cb376a06d0d Stored in directory: /tmp/pip-ephem-wheel-cache-hmqp2qf8/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=3a895cf8bd5c5a265eac7d23d37b93bfd59c6956558b8d53e15f1b7322eeec6a Stored in directory: /tmp/pip-ephem-wheel-cache-hmqp2qf8/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=75892 sha256=2226323a94b78631b69e2752166c6000a3160161fada84fe0d0a65f3c29b5915 Stored in directory: /tmp/pip-ephem-wheel-cache-hmqp2qf8/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-0.29.36 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-6.24.0 ipython-8.12.0 ipywidgets-8.0.4 jedi-0.18.2 jinja2-3.1.2 joblib-1.3.1 jsonschema-4.17.3 jupyter-client-8.3.0 jupyter-core-5.3.1 jupyterlab-pygments-0.2.2 jupyterlab-widgets-3.0.8 kaleido-0.2.1 kiwisolver-1.4.4 korean-lunar-calendar-0.3.1 lazy-object-proxy-1.9.0 lazy_loader-0.3 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-3.0.39 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-2023.7.4 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-4.7.1 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-4.0.8 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: 2023-07-05T18:06:40.367038Z, end-time: 2023-07-05T18:06:40.433047Z, 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': '60db76ca', } # 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/1579837/' 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: 2023-07-05T18:06:40.968720Z, end-time: 2023-07-05T18:24:55.733310Z, duration: 1094, 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): loading translations [en]... done making output directory... done [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 /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/evalml/tests/demo_tests/__init__.py 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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... 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[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:70: 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. 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. 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:70: 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 autoapi/evalml/automl/engine/index autoapi/evalml/automl/engine/cf_engine/index autoapi/evalml/automl/engine/dask_engine/index autoapi/evalml/automl/engine/engine_base/index autoapi/evalml/automl/engine/sequential_engine/index autoapi/evalml/automl/automl_search/index autoapi/evalml/automl/callbacks/index autoapi/evalml/automl/pipeline_search_plots/index autoapi/evalml/automl/progress/index autoapi/evalml/automl/utils/index autoapi/evalml/data_checks/index autoapi/evalml/data_checks/class_imbalance_data_check/index autoapi/evalml/data_checks/data_check/index autoapi/evalml/data_checks/data_check_action/index autoapi/evalml/data_checks/data_check_action_code/index autoapi/evalml/data_checks/data_check_action_option/index autoapi/evalml/data_checks/data_check_message/index autoapi/evalml/data_checks/data_check_message_code/index autoapi/evalml/data_checks/data_check_message_type/index autoapi/evalml/data_checks/data_checks/index autoapi/evalml/data_checks/datetime_format_data_check/index 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 autoapi/evalml/demos/wine/index autoapi/evalml/exceptions/index autoapi/evalml/exceptions/exceptions/index autoapi/evalml/model_family/index autoapi/evalml/model_family/model_family/index autoapi/evalml/model_family/utils/index autoapi/evalml/model_understanding/index autoapi/evalml/model_understanding/prediction_explanations/index autoapi/evalml/model_understanding/prediction_explanations/explainers/index autoapi/evalml/model_understanding/decision_boundary/index autoapi/evalml/model_understanding/feature_explanations/index autoapi/evalml/model_understanding/force_plots/index autoapi/evalml/model_understanding/metrics/index autoapi/evalml/model_understanding/partial_dependence_functions/index autoapi/evalml/model_understanding/permutation_importance/index autoapi/evalml/model_understanding/visualizations/index autoapi/evalml/objectives/index autoapi/evalml/objectives/binary_classification_objective/index autoapi/evalml/objectives/cost_benefit_matrix/index 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paragraph at lines 3642--3644 []\T1/txtt/m/n/10 feature_importance \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pip elines.components.estimators.regressors.elasticnet_regressor.ElasticNetRegresso r Overfull \hbox (156.02217pt too wide) in paragraph at lines 3644--3646 []\T1/txtt/m/n/10 feature_importance \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pip elines.components.estimators.regressors.ElasticNetRegressor Overfull \hbox (209.34213pt too wide) in paragraph at lines 3646--3648 []\T1/txtt/m/n/10 feature_importance \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pip elines.components.estimators.regressors.et_regressor.ExtraTreesRegressor Overfull \hbox (343.17216pt too wide) in paragraph at lines 3648--3650 []\T1/txtt/m/n/10 feature_importance \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pip elines.components.estimators.regressors.exponential_smoothing_regressor.Exponen tialSmoothingRegressor Overfull \hbox (205.76219pt too wide) in paragraph at lines 3650--3652 []\T1/txtt/m/n/10 feature_importance 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elines.components.estimators.regressors.rf_regressor.RandomForestRegressor Overfull \hbox (194.22217pt too wide) in paragraph at lines 3670--3672 []\T1/txtt/m/n/10 feature_importance \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pip elines.components.estimators.regressors.svm_regressor.SVMRegressor Overfull \hbox (134.3422pt too wide) in paragraph at lines 3672--3674 []\T1/txtt/m/n/10 feature_importance \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pip elines.components.estimators.regressors.SVMRegressor Overfull \hbox (321.24219pt too wide) in paragraph at lines 3674--3676 []\T1/txtt/m/n/10 feature_importance \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pip elines.components.estimators.regressors.time_series_baseline_estimator.TimeSeri esBaselineEstimator Overfull \hbox (192.9822pt too wide) in paragraph at lines 3676--3678 []\T1/txtt/m/n/10 feature_importance \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pip elines.components.estimators.regressors.TimeSeriesBaselineEstimator Overfull \hbox (277.75217pt too 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ents.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 3857--3859 []\T1/txtt/m/n/10 fit() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.compon ents.BaselineRegressor Overfull \hbox (54.42244pt too wide) in paragraph at lines 3863--3865 []\T1/txtt/m/n/10 fit() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.compon ents.component_base.ComponentBase Underfull \hbox (badness 10000) in paragraph at lines 3865--3867 []\T1/txtt/m/n/10 fit() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.compon ents.ComponentBase Overfull \hbox (9.8324pt too wide) in paragraph at lines 3869--3871 []\T1/txtt/m/n/10 fit() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.compon ents.DecisionTreeClassifier Overfull \hbox (11.3924pt too wide) in paragraph at lines 3871--3873 []\T1/txtt/m/n/10 fit() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.compon ents.DecisionTreeRegressor Underfull \hbox (badness 10000) in paragraph at lines 3873--3875 []\T1/txtt/m/n/10 fit() \T1/qtm/m/n/10 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paragraph at lines 5932--5934 []\T1/txtt/m/n/10 inverse_transform() Overfull \hbox (55.2725pt too wide) in paragraph at lines 5932--5934 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.TimeSeriesMulticlassClassifica tionPipeline Underfull \hbox (badness 10000) in paragraph at lines 5934--5936 []\T1/txtt/m/n/10 inverse_transform() Overfull \hbox (2.3825pt too wide) in paragraph at lines 5934--5936 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.TimeSeriesRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 5940--5942 []\T1/txtt/m/n/10 is_bounded_like_percentage Overfull \hbox (132.59247pt too wide) in paragraph at lines 5940--5942 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.binary_classification_objecti ve.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 5942--5944 []\T1/txtt/m/n/10 is_bounded_like_percentage Overfull \hbox (5.10248pt too wide) in paragraph at lines 5942--5944 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 5944--5946 []\T1/txtt/m/n/10 is_bounded_like_percentage Overfull \hbox (160.89246pt too wide) in paragraph at lines 5944--5946 \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 5946--5948 []\T1/txtt/m/n/10 is_bounded_like_percentage Overfull \hbox (19.25247pt too wide) in paragraph at lines 5946--5948 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 5948--5950 []\T1/txtt/m/n/10 is_bounded_like_percentage Overfull \hbox (3.64247pt too wide) in paragraph at lines 5948--5950 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.objective_base.ObjectiveBase Underfull \hbox (badness 10000) in paragraph at lines 5950--5952 []\T1/txtt/m/n/10 is_bounded_like_percentage Underfull \hbox (badness 10000) in paragraph at lines 5950--5952 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.ObjectiveBase prop-erty\T1/qt m/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 5952--5954 []\T1/txtt/m/n/10 is_bounded_like_percentage Overfull \hbox (51.08243pt too wide) in paragraph at lines 5952--5954 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.regression_objective.Regressi onObjective Underfull \hbox (badness 10000) in paragraph at lines 5954--5956 []\T1/txtt/m/n/10 is_bounded_like_percentage Underfull \hbox (badness 10000) in paragraph at lines 5954--5956 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.RegressionObjective prop- Underfull \hbox (badness 10000) in paragraph at lines 5956--5958 []\T1/txtt/m/n/10 is_bounded_like_percentage Overfull \hbox (145.92244pt too wide) in paragraph at lines 5956--5958 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.time_series_regression_object ive.TimeSeriesRegressionObjective Overfull \hbox (32.76231pt too wide) in paragraph at lines 5958--5960 []\T1/txtt/m/n/10 is_cancelled \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.automl.en gine.cf_engine.CFComputation Overfull \hbox (51.64232pt too wide) in paragraph at lines 5960--5962 []\T1/txtt/m/n/10 is_cancelled \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.automl.en gine.dask_engine.DaskComputation Underfull \hbox (badness 10000) in paragraph at lines 5962--5963 []\T1/txtt/m/n/10 is_classification() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 in mod-ul e Underfull \hbox (badness 10000) in paragraph at lines 5963--5965 []\T1/txtt/m/n/10 is_classification() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 in mod-ul e Underfull \hbox (badness 10000) in paragraph at lines 5965--5967 []\T1/txtt/m/n/10 is_closed \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.automl.engin e.cf_engine.CFClient Underfull \hbox (badness 10000) in paragraph at lines 5967--5969 []\T1/txtt/m/n/10 is_closed \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.automl.engin e.cf_engine.CFEngine Overfull \hbox (11.99237pt too wide) in paragraph at lines 5970--5972 []\T1/txtt/m/n/10 is_closed \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.automl.engin e.dask_engine.DaskEngine Underfull \hbox (badness 10000) in paragraph at lines 5972--5973 []\T1/txtt/m/n/10 is_closed \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.automl.engin e.DaskEngine prop- Overfull \hbox (10.5924pt too wide) in paragraph at lines 5975--5977 []\T1/txtt/m/n/10 is_cv \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.preprocessing.da ta_splitters.no_split.NoSplit Overfull \hbox (18.62242pt too wide) in paragraph at lines 5979--5981 []\T1/txtt/m/n/10 is_cv \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.preprocessing.da ta_splitters.sk_splitters.KFold Overfull \hbox (54.89243pt too wide) in paragraph at lines 5981--5983 []\T1/txtt/m/n/10 is_cv \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.preprocessing.da ta_splitters.sk_splitters.StratifiedKFold Overfull \hbox (7.13242pt too wide) in paragraph at lines 5983--5985 []\T1/txtt/m/n/10 is_cv \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.preprocessing.da 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10000) in paragraph at lines 5997--5999 []\T1/txtt/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 5997--5999 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.AccuracyBinary class Underfull \hbox (badness 10000) in paragraph at lines 5999--6001 []\T1/txtt/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 5999--6001 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.AccuracyMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 6001--6003 []\T1/txtt/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 6003--6005 []\T1/txtt/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 6005--6007 []\T1/txtt/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 6005--6007 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.AUCMicro class method\T1/qtm/ m/n/10 ), [2080] Underfull \hbox 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is_defined_for_problem_type() Overfull \hbox (5.10248pt too wide) in paragraph at lines 6015--6017 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 6017--6019 []\T1/txtt/m/n/10 is_defined_for_problem_type() Overfull \hbox (39.06248pt too wide) in paragraph at lines 6017--6019 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.cost_benefit_matrix.CostBenef itMatrix Underfull \hbox (badness 10000) in paragraph at lines 6019--6021 []\T1/txtt/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 6019--6021 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.CostBenefitMatrix class Underfull \hbox (badness 10000) in paragraph at lines 6021--6023 []\T1/txtt/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 6023--6025 []\T1/txtt/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 6025--6027 []\T1/txtt/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 6025--6027 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.F1Macro class method\T1/qtm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 6027--6029 []\T1/txtt/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 6027--6029 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.F1Micro class method\T1/qtm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 6029--6031 []\T1/txtt/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 6031--6033 []\T1/txtt/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 6031--6033 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.fraud_cost.FraudCost Underfull \hbox (badness 10000) in paragraph at lines 6033--6035 []\T1/txtt/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 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6043--6045 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.LogLossMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 6045--6047 []\T1/txtt/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 6047--6049 []\T1/txtt/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 6047--6049 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.MAPE class method\T1/qtm/m/n/ 10 ), Underfull \hbox (badness 10000) in paragraph at lines 6049--6051 []\T1/txtt/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 6049--6051 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.MaxError class method\T1/qtm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 6051--6053 []\T1/txtt/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 6053--6055 []\T1/txtt/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 6053--6055 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.MCCMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 6055--6057 []\T1/txtt/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 6055--6057 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 6057--6059 []\T1/txtt/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 6057--6059 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.MedianAE class method\T1/qtm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 6059--6061 []\T1/txtt/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 6061--6063 []\T1/txtt/m/n/10 is_defined_for_problem_type() Overfull \hbox (160.89246pt too wide) in paragraph at lines 6061--6063 \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 6063--6065 []\T1/txtt/m/n/10 is_defined_for_problem_type() Overfull \hbox (19.25247pt too wide) in paragraph at lines 6063--6065 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 6065--6067 []\T1/txtt/m/n/10 is_defined_for_problem_type() Overfull \hbox (3.64247pt too wide) in paragraph at lines 6065--6067 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.objective_base.ObjectiveBase Underfull \hbox (badness 10000) in paragraph at lines 6067--6069 []\T1/txtt/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 6067--6069 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.ObjectiveBase class Underfull \hbox (badness 10000) in paragraph at lines 6069--6071 []\T1/txtt/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 6069--6071 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at lines 6079--6081 []\T1/txtt/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 6079--6081 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.Recall class method\T1/qtm/m/ n/10 ), [2081] Underfull \hbox (badness 10000) in paragraph at lines 6081--6083 []\T1/txtt/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 6083--6085 []\T1/txtt/m/n/10 is_defined_for_problem_type() Underfull \hbox (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.RecallWeighted class Underfull \hbox (badness 10000) in paragraph at lines 6087--6089 []\T1/txtt/m/n/10 is_defined_for_problem_type() Overfull \hbox (51.08243pt too wide) in paragraph at lines 6087--6089 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.regression_objective.Regressi onObjective 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.RegressionObjective class Underfull \hbox (badness 10000) in paragraph at lines 6091--6093 []\T1/txtt/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 6091--6093 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.RootMeanSquaredError 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.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 6095--6097 []\T1/txtt/m/n/10 is_defined_for_problem_type() Overfull \hbox (48.63248pt too wide) in paragraph at lines 6095--6097 \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 6097--6099 []\T1/txtt/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 6097--6099 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.SensitivityLowAlert class 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.SMAPE class method\T1/qtm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 6101--6103 []\T1/txtt/m/n/10 is_defined_for_problem_type() Overfull \hbox (21.33249pt too wide) in paragraph at lines 6101--6103 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.standard_metrics.AccuracyBina ry Underfull \hbox (badness 10000) in paragraph at lines 6103--6105 []\T1/txtt/m/n/10 is_defined_for_problem_type() Overfull \hbox (35.48248pt too wide) in 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\T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.standard_metrics.F1 class 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.F1Macro Underfull \hbox (badness 10000) in paragraph at lines 6123--6125 []\T1/txtt/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 6123--6125 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.standard_metrics.F1Micro Underfull \hbox (badness 10000) in paragraph at lines 6125--6127 []\T1/txtt/m/n/10 is_defined_for_problem_type() Overfull \hbox (4.63248pt too wide) in paragraph at lines 6125--6127 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.standard_metrics.F1Weighted 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.Gini Underfull \hbox (badness 10000) in paragraph at lines 6129--6131 []\T1/txtt/m/n/10 is_defined_for_problem_type() Overfull \hbox (17.92247pt too wide) in paragraph at lines 6129--6131 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.standard_metrics.LogLossBinar y Underfull \hbox (badness 10000) in paragraph at lines 6131--6133 []\T1/txtt/m/n/10 is_defined_for_problem_type() Overfull \hbox (32.07246pt too wide) in paragraph at lines 6131--6133 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.standard_metrics.LogLossMulti class Underfull \hbox (badness 10000) in paragraph at lines 6133--6135 []\T1/txtt/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 6133--6135 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.standard_metrics.MAE Underfull \hbox (badness 10000) in paragraph at lines 6135--6137 []\T1/txtt/m/n/10 is_defined_for_problem_type() Underfull 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is_defined_for_problem_type() Overfull \hbox (50.29245pt too wide) in paragraph at lines 6143--6145 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.standard_metrics.MeanSquaredL ogError Underfull \hbox (badness 10000) in paragraph at lines 6145--6147 []\T1/txtt/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 6145--6147 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.standard_metrics.MedianAE Underfull \hbox (badness 10000) in paragraph at lines 6147--6149 []\T1/txtt/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 6147--6149 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.standard_metrics.MSE Underfull \hbox (badness 10000) in paragraph at lines 6149--6151 []\T1/txtt/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 6149--6151 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.standard_metrics.Precision Underfull \hbox (badness 10000) in paragraph at lines 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evalml.pipelines.components.transformers.encoders.label_encoder \T1/qtm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 6263--6265 []\T1/txtt/m/n/10 last_component_input_logical_types Overfull \hbox (27.76251pt too wide) in paragraph at lines 6263--6265 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.component_graph.ComponentGraph Underfull \hbox (badness 10000) in paragraph at lines 6265--6267 []\T1/txtt/m/n/10 last_component_input_logical_types Underfull \hbox (badness 10000) in paragraph at lines 6265--6267 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.ComponentGraph prop- Underfull \hbox (badness 10000) in paragraph at lines 6270--6272 []\T1/txtt/m/n/10 LightGBMClassifier \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 6272--6274 []\T1/txtt/m/n/10 LightGBMClassifier \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 6272--6274 \T1/qtm/m/it/10 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ication_pipeline.ClassificationPipeline Overfull \hbox (49.17245pt too wide) in paragraph at lines 7445--7447 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.compone nts.component_base.ComponentBase Underfull \hbox (badness 10000) in paragraph at lines 7447--7449 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.compone nts.ComponentBase Overfull \hbox (140.22244pt too wide) in paragraph at lines 7449--7451 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.compone nts.ensemble.stacked_ensemble_base.StackedEnsembleBase Overfull \hbox (42.59245pt too wide) in paragraph at lines 7451--7453 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.compone nts.ensemble.StackedEnsembleBase Overfull \hbox (223.73245pt 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 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nts.transformers.preprocessing.text_transformer.TextTransformer Overfull \hbox (91.77237pt too wide) in paragraph at lines 7478--7480 []\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 7480--7482 []\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 7482--7484 []\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 7484--7486 []\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 7488--7490 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.multicl 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objective_function() Overfull \hbox (12.97247pt too wide) in paragraph at lines 8416--8418 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.standard_metrics.AUCWeighted Underfull \hbox (badness 10000) in paragraph at lines 8418--8420 []\T1/txtt/m/n/10 objective_function() Overfull \hbox (59.1025pt too wide) in paragraph at lines 8418--8420 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.standard_metrics.BalancedAccu racyBinary Underfull \hbox (badness 10000) in paragraph at lines 8420--8422 []\T1/txtt/m/n/10 objective_function() Overfull \hbox (73.25249pt too wide) in paragraph at lines 8420--8422 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.standard_metrics.BalancedAccu racyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 8422--8424 []\T1/txtt/m/n/10 objective_function() Overfull \hbox (8.06247pt too wide) in paragraph at lines 8422--8424 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.standard_metrics.ExpVariance Underfull \hbox (badness 10000) in paragraph 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mponents.utils.WrappedSKClassifier [2119] Overfull \hbox (47.47237pt too wide) in paragraph at lines 9792--9794 []\T1/txtt/m/n/10 predict() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.co mponents.utils.WrappedSKRegressor Overfull \hbox (64.07237pt too wide) in paragraph at lines 9794--9796 []\T1/txtt/m/n/10 predict() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.co mponents.VowpalWabbitBinaryClassifier Overfull \hbox (78.22237pt too wide) in paragraph at lines 9796--9798 []\T1/txtt/m/n/10 predict() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.co mponents.VowpalWabbitMulticlassClassifier Overfull \hbox (38.11237pt too wide) in paragraph at lines 9798--9800 []\T1/txtt/m/n/10 predict() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.co mponents.VowpalWabbitRegressor Overfull \hbox (14.51236pt too wide) in paragraph at lines 9800--9802 []\T1/txtt/m/n/10 predict() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.co mponents.XGBoostClassifier Overfull \hbox (16.07236pt too wide) 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10000) in paragraph at lines 9815--9817 []\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 9817--9819 []\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 9819--9821 []\T1/txtt/m/n/10 predict() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.KN eighborsClassifier Underfull \hbox (badness 10000) in paragraph at lines 9821--9822 []\T1/txtt/m/n/10 predict() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.Li ghtGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 9822--9823 []\T1/txtt/m/n/10 predict() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.Li ghtGBMRegressor Overfull \hbox (4.15234pt too wide) in paragraph at lines 9824--9826 []\T1/txtt/m/n/10 predict() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.Lo gisticRegressionClassifier Overfull \hbox (157.96236pt too 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nes.components.estimators.XGBoostRegressor Overfull \hbox (102.42227pt too wide) in paragraph at lines 10113--10115 []\T1/txtt/m/n/10 predict_proba() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipeli nes.components.ExponentialSmoothingRegressor Overfull \hbox (53.04224pt too wide) in paragraph at lines 10115--10117 []\T1/txtt/m/n/10 predict_proba() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipeli nes.components.ExtraTreesClassifier Overfull \hbox (54.60223pt too wide) in paragraph at lines 10117--10119 []\T1/txtt/m/n/10 predict_proba() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipeli nes.components.ExtraTreesRegressor Overfull \hbox (57.89226pt too wide) in paragraph at lines 10119--10121 []\T1/txtt/m/n/10 predict_proba() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipeli nes.components.KNeighborsClassifier Overfull \hbox (52.78227pt too wide) in paragraph at lines 10121--10123 []\T1/txtt/m/n/10 predict_proba() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipeli nes.components.LightGBMClassifier Overfull 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nes.components.VowpalWabbitRegressor Overfull \hbox (46.01227pt too wide) in paragraph at lines 10155--10157 []\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 10157--10159 []\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 10159--10161 []\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 10161--10163 []\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 10163--10165 []\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 10165--10167 []\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 10168--10170 []\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 10170--10172 []\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 10172--10174 []\T1/txtt/m/n/10 predict_proba() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipeli nes.ExtraTreesRegressor Overfull \hbox (7.62225pt too wide) in paragraph at lines 10174--10176 []\T1/txtt/m/n/10 predict_proba() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipeli nes.KNeighborsClassifier Overfull \hbox (2.51227pt too wide) in paragraph at lines 10176--10178 []\T1/txtt/m/n/10 predict_proba() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipeli nes.LightGBMClassifier Overfull \hbox (4.07227pt too wide) in paragraph at lines 10178--10180 []\T1/txtt/m/n/10 predict_proba() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipeli nes.LightGBMRegressor Underfull \hbox (badness 10000) in paragraph at lines 10180--10182 []\T1/txtt/m/n/10 predict_proba() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipeli nes.LinearRegressor Overfull \hbox (35.65225pt too wide) in paragraph at lines 10182--10184 []\T1/txtt/m/n/10 predict_proba() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipeli nes.LogisticRegressionClassifier Overfull \hbox (189.46227pt too wide) in paragraph at lines 10184--10186 []\T1/txtt/m/n/10 predict_proba() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipeli nes.multiclass_classification_pipeline.MulticlassClassificationPipeline Overfull \hbox (51.40227pt too wide) in paragraph at lines 10186--10188 []\T1/txtt/m/n/10 predict_proba() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipeli nes.MulticlassClassificationPipeline Underfull \hbox (badness 10000) in 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nes.StackedEnsembleRegressor Underfull \hbox (badness 10000) in paragraph at lines 10200--10202 []\T1/txtt/m/n/10 predict_proba() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipeli nes.SVMClassifier Underfull \hbox (badness 10000) in paragraph at lines 10202--10204 []\T1/txtt/m/n/10 predict_proba() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipeli nes.SVMRegressor [2123] Overfull \hbox (228.48228pt too wide) in paragraph at lines 10204--10206 []\T1/txtt/m/n/10 predict_proba() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipeli nes.time_series_classification_pipelines.TimeSeriesBinaryClassificationPipeline Overfull \hbox (200.96228pt too wide) in paragraph at lines 10206--10208 []\T1/txtt/m/n/10 predict_proba() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipeli nes.time_series_classification_pipelines.TimeSeriesClassificationPipeline Overfull \hbox (242.63228pt too wide) in paragraph at lines 10208--10210 []\T1/txtt/m/n/10 predict_proba() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipeli 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rsive_feature_elimination_selector\T1/qtm/m/n/10 ), Overfull \hbox (125.36238pt too wide) in paragraph at lines 10320--10322 []\T1/txtt/m/n/10 register() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.c omponents.component_base_meta.ComponentBaseMeta Overfull \hbox (31.36237pt too wide) in paragraph at lines 10322--10324 []\T1/txtt/m/n/10 register() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.c omponents.ComponentBaseMeta Overfull \hbox (189.35239pt too wide) in paragraph at lines 10324--10326 []\T1/txtt/m/n/10 register() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.c omponents.transformers.encoders.onehot_encoder.OneHotEncoderMeta Overfull \hbox (191.29233pt too wide) in paragraph at lines 10326--10328 []\T1/txtt/m/n/10 register() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.c omponents.transformers.encoders.ordinal_encoder.OrdinalEncoderMeta Overfull \hbox (174.06236pt too wide) in paragraph at lines 10328--10330 []\T1/txtt/m/n/10 register() \T1/qtm/m/n/10 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11554--11556 []\T1/txtt/m/n/10 summary \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.time _series_regression_pipeline.TimeSeriesRegressionPipeline Overfull \hbox (39.5424pt too wide) in paragraph at lines 11556--11558 []\T1/txtt/m/n/10 summary \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.Time SeriesBinaryClassificationPipeline Overfull \hbox (12.0224pt too wide) in paragraph at lines 11558--11560 []\T1/txtt/m/n/10 summary \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.Time SeriesClassificationPipeline Overfull \hbox (53.6924pt too wide) in paragraph at lines 11560--11562 []\T1/txtt/m/n/10 summary \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.Time SeriesMulticlassClassificationPipeline Overfull \hbox (0.8024pt too wide) in paragraph at lines 11562--11564 []\T1/txtt/m/n/10 summary \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.Time SeriesRegressionPipeline [2137] Underfull \hbox (badness 10000) in paragraph at lines 11564--11566 []\T1/txtt/m/n/10 supported_problem_types 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evalml.pipelines.components.transformers.imputers\T1/qtm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 11679--11681 []\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 11679--11681 \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 11681--11683 []\T1/txtt/m/n/10 TimeSeriesMulticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 11683--11685 []\T1/txtt/m/n/10 TimeSeriesMulticlassClassificationPipeline Overfull \hbox (62.41748pt too wide) in paragraph at lines 11683--11685 \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 11685--11687 []\T1/txtt/m/n/10 TimeSeriesParametersDataCheck \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class in Underfull \hbox 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paragraph at lines 13160--13162 []\T1/txtt/m/n/10 VowpalWabbitRegressor \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class i n Underfull \hbox (badness 10000) in paragraph at lines 13162--13164 []\T1/txtt/m/n/10 VowpalWabbitRegressor \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class i n Underfull \hbox (badness 10000) in paragraph at lines 13162--13164 \T1/qtm/m/it/10 evalml.pipelines.components.estimators\T1/qtm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 13164--13166 []\T1/txtt/m/n/10 VowpalWabbitRegressor \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class i n Overfull \hbox (18.88745pt too wide) in paragraph at lines 13164--13166 \T1/qtm/m/it/10 evalml.pipelines.components.estimators.regressors\T1/qtm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 13166--13168 []\T1/txtt/m/n/10 VowpalWabbitRegressor \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class i n Overfull \hbox (124.84244pt too wide) in paragraph at lines 13166--13168 \T1/qtm/m/it/10 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Underfull \hbox (badness 10000) in paragraph at lines 13177--13179 \T1/qtm/m/it/10 evalml.data_checks.uniqueness_data_check\T1/qtm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 13179--13181 []\T1/txtt/m/n/10 WrappedSKClassifier \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 13181--13183 []\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 13183--13185 []\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 13189--13191 []\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 13191--13193 []\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 13191--13193 \T1/qtm/m/it/10 evalml.pipelines.components.estimators\T1/qtm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 13193--13195 []\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 13193--13195 \T1/qtm/m/it/10 evalml.pipelines.components.estimators.classifiers\T1/qtm/m/n/1 0 ), Underfull \hbox (badness 10000) in paragraph at lines 13195--13197 []\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 13195--13197 \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 13198--13200 []\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 13200--13202 []\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 13200--13202 \T1/qtm/m/it/10 evalml.pipelines.components.estimators\T1/qtm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 13202--13204 []\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 13202--13204 \T1/qtm/m/it/10 evalml.pipelines.components.estimators.regressors\T1/qtm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 13204--13206 []\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 13204--13206 \T1/qtm/m/it/10 evalml.pipelines.components.estimators.regressors.xgboost_regre ssor\T1/qtm/m/n/10 ), [2157]) (./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 (2161 pages, 6597302 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