Read the Docs build information Build id: 1493290 Project: feature-labs-inc-evalml Version: main Commit: d49734957b641e5650bbf6ef6b8dc716a2db1ccf Date: 2023-05-24T14:57:38.794112Z State: finished Success: True [rtd-command-info] start-time: 2023-05-24T14:57:40.627288Z, end-time: 2023-05-24T14:57:43.642859Z, duration: 3, exit-code: 0 git clone --no-single-branch --depth 50 https://github.com/alteryx/evalml.git . Cloning into '.'... [rtd-command-info] start-time: 2023-05-24T14:57:43.852685Z, end-time: 2023-05-24T14:57:44.059947Z, 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 d4973495 Fix small ARIMA issues (#4186) [rtd-command-info] start-time: 2023-05-24T14:57:44.286558Z, end-time: 2023-05-24T14:57:44.356630Z, duration: 0, exit-code: 0 git clean -d -f -f [rtd-command-info] start-time: 2023-05-24T14:57:45.430492Z, end-time: 2023-05-24T14:57:53.644214Z, duration: 8, exit-code: 0 apt-get update --assume-yes --quiet Hit:1 http://archive.ubuntu.com/ubuntu jammy InRelease Get:2 http://archive.ubuntu.com/ubuntu jammy-updates InRelease [119 kB] Get:3 http://security.ubuntu.com/ubuntu jammy-security InRelease [110 kB] Get:4 http://archive.ubuntu.com/ubuntu jammy-backports InRelease [108 kB] Get:5 http://security.ubuntu.com/ubuntu jammy-security/multiverse amd64 Packages [36.3 kB] Get:6 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 Packages [777 kB] Get:7 http://security.ubuntu.com/ubuntu jammy-security/restricted amd64 Packages [336 kB] Get:8 http://security.ubuntu.com/ubuntu jammy-security/universe amd64 Packages [921 kB] Get:9 http://security.ubuntu.com/ubuntu jammy-security/main amd64 Packages [497 kB] Get:10 http://archive.ubuntu.com/ubuntu jammy-updates/restricted amd64 Packages [336 kB] Get:11 http://archive.ubuntu.com/ubuntu jammy-updates/multiverse amd64 Packages [42.2 kB] Get:12 http://archive.ubuntu.com/ubuntu jammy-updates/universe amd64 Packages [1160 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 [27.0 kB] Fetched 4518 kB in 7s (633 kB/s) Reading package lists... [rtd-command-info] start-time: 2023-05-24T14:57:53.864051Z, end-time: 2023-05-24T14:57:58.068632Z, duration: 4, 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 104 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: 2023-05-24T14:58:02.155498Z, end-time: 2023-05-24T14:58:02.239760Z, duration: 0, exit-code: 0 asdf global python 3.8.15 [rtd-command-info] start-time: 2023-05-24T14:58:02.888538Z, end-time: 2023-05-24T14:58:03.935941Z, duration: 1, exit-code: 0 python -mvirtualenv $READTHEDOCS_VIRTUALENV_PATH created virtual environment CPython3.8.15.final.0-64 in 697ms 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: 2023-05-24T14:58:04.126185Z, end-time: 2023-05-24T14:58:13.736380Z, duration: 9, exit-code: 0 python -m pip install --upgrade 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python -m pip install --upgrade --no-cache-dir pillow mock==1.0.1 alabaster>=0.7,<0.8,!=0.7.5 commonmark==0.9.1 recommonmark==0.5.0 sphinx<2 sphinx-rtd-theme<0.5 readthedocs-sphinx-ext<2.3 jinja2<3.1.0 Collecting pillow Downloading Pillow-9.5.0-cp38-cp38-manylinux_2_28_x86_64.whl (3.4 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3.4/3.4 MB 11.5 MB/s eta 0:00:00 Collecting mock==1.0.1 Downloading mock-1.0.1.zip (861 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 861.9/861.9 kB 25.9 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 183.7 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-lzc_08d5/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-2.1.2 Pygments-2.15.1 alabaster-0.7.13 babel-2.12.1 certifi-2023.5.7 charset-normalizer-3.1.0 commonmark-0.9.1 docutils-0.17.1 idna-3.4 imagesize-1.4.1 jinja2-3.0.3 mock-1.0.1 packaging-23.1 pillow-9.5.0 pytz-2023.3 readthedocs-sphinx-ext-2.2.0 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 urllib3-2.0.2 [rtd-command-info] start-time: 2023-05-24T14:58:22.208031Z, end-time: 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executing>=1.2.0 (from stack-data->ipython>=7.8.0->black[jupyter]>=22.3.0->evalml==0.76.0) Downloading executing-1.2.0-py2.py3-none-any.whl (24 kB) Collecting asttokens>=2.1.0 (from stack-data->ipython>=7.8.0->black[jupyter]>=22.3.0->evalml==0.76.0) Downloading asttokens-2.2.1-py2.py3-none-any.whl (26 kB) Collecting pure-eval (from stack-data->ipython>=7.8.0->black[jupyter]>=22.3.0->evalml==0.76.0) Downloading pure_eval-0.2.2-py3-none-any.whl (11 kB) Collecting pkgutil-resolve-name>=1.3.10 (from jsonschema>=2.6->nbformat->nbval==0.9.3->evalml==0.76.0) Downloading pkgutil_resolve_name-1.3.10-py3-none-any.whl (4.7 kB) Collecting pyrsistent!=0.17.0,!=0.17.1,!=0.17.2,>=0.14.0 (from jsonschema>=2.6->nbformat->nbval==0.9.3->evalml==0.76.0) Downloading pyrsistent-0.19.3-py3-none-any.whl (57 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 57.5/57.5 kB 196.3 MB/s eta 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=d3336aba682b2d028154c4015f7aa77c77928104e53a45a2697ecd27600c7046 Stored in directory: /tmp/pip-ephem-wheel-cache-tl3_7uev/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-0.76.0-py3-none-any.whl size=6549796 sha256=92848e55c41e6b76688fcb424ea2dc772369f08e51eb62507c8fb91e8a0a8f70 Stored in directory: /tmp/pip-ephem-wheel-cache-tl3_7uev/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=6b9ba724fef36b8d1d543616e6a0cb527977e4d6f3d669202519fd25b0c7c2ad Stored in directory: /tmp/pip-ephem-wheel-cache-tl3_7uev/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=75890 sha256=e60c28a1b310b836b53c5281a3d86b121a8a2594fe331afbb3668d36fbb25c07 Stored in directory: /tmp/pip-ephem-wheel-cache-tl3_7uev/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, mistune, 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, 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-0.29.34 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-1.0.7 convertdate-2.4.0 coverage-7.2.6 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-1.2.13 distlib-0.3.6 distributed-2023.3.2.1 docutils-0.16 ephem-4.1.4 evalml-0.76.0 execnet-1.9.0 executing-1.2.0 fastjsonschema-2.17.1 featuretools-1.26.0 filelock-3.12.0 fonttools-4.39.4 fsspec-2023.5.0 graphviz-0.20.1 hijri-converter-2.3.1 holidays-0.20 identify-2.5.24 imageio-2.29.0 imbalanced-learn-0.10.1 importlib-metadata-6.6.0 importlib-resources-5.12.0 iniconfig-2.0.0 ipykernel-6.23.1 ipython-8.12.0 ipywidgets-8.0.4 jedi-0.18.2 jinja2-3.1.2 joblib-1.2.0 jsonschema-4.17.3 jupyter-client-8.2.0 jupyter-core-5.3.0 jupyterlab-pygments-0.2.2 jupyterlab-widgets-3.0.7 kaleido-0.2.1 kiwisolver-1.4.4 korean-lunar-calendar-0.3.1 lazy-object-proxy-1.9.0 lazy_loader-0.2 lightgbm-3.3.5 lime-0.2.0.1 llvmlite-0.40.0 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-2.0.5 msgpack-1.0.5 mypy-extensions-1.0.0 myst-parser-0.16.1 nbclient-0.8.0 nbconvert-7.4.0 nbformat-5.8.0 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-0.57.0 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-3.5.1 plotly-5.14.1 pluggy-1.0.0 pmdarima-2.0.3 pre-commit-3.3.2 prompt-toolkit-3.0.38 prophet-1.1.3 psutil-5.9.5 ptyprocess-0.7.0 pure-eval-0.2.2 py-1.11.0 pyaml-23.5.9 pydata-sphinx-theme-0.13.3 pyparsing-3.0.9 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-25.0.2 regex-2023.5.5 ruff-0.0.228 scikit-image-0.20.0 scikit-learn-1.2.2 scikit-optimize-0.9.0 scipy-1.9.1 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-1.7.0 tenacity-8.2.2 texttable-1.6.7 threadpoolctl-3.1.0 tifffile-2023.4.12 tinycss2-1.2.1 tokenize-rt-5.0.0 tomli-2.0.1 toolz-0.12.0 tornado-6.3.2 tqdm-4.65.0 traitlets-5.9.0 typing-extensions-4.6.1 unidecode-1.3.6 virtualenv-20.23.0 vowpalwabbit-9.8.0 wcwidth-0.2.6 webencodings-0.5.1 wheel-0.40.0 widgetsnbextension-4.0.7 woodwork-0.23.0 wrapt-1.12.1 xgboost-1.7.5 zict-3.0.0 zipp-3.15.0 [rtd-command-info] start-time: 2023-05-24T15:00:13.707521Z, end-time: 2023-05-24T15:00:13.771980Z, 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/"), ("v0.76.0", "/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': 'https://evalml.alteryx.com/en/stable/', 'analytics_code': 'UA-64679566-12', 'single_version': False, 'conf_py_path': '/docs/source/', 'api_host': 'https://readthedocs.com', 'github_user': 'alteryx', 'proxied_api_host': '/_', 'github_repo': 'evalml', 'github_version': 'main', 'display_github': True, 'bitbucket_user': 'None', 'bitbucket_repo': 'None', 'bitbucket_version': 'main', 'display_bitbucket': False, 'gitlab_user': 'None', 'gitlab_repo': 'None', 'gitlab_version': 'main', 'display_gitlab': False, 'READTHEDOCS': True, 'using_theme': (html_theme == "default"), 'new_theme': (html_theme == "sphinx_rtd_theme"), 'source_suffix': SUFFIX, 'ad_free': False, 'docsearch_disabled': False, 'user_analytics_code': 'UA-64679566-12', 'global_analytics_code': 'UA-17997319-2', 'commit': 'd4973495', } # For sphinx >=1.8 we can use html_baseurl to set the canonical URL. # https://www.sphinx-doc.org/en/master/usage/configuration.html#confval-html_baseurl if version_info >= (1, 8): if not globals().get('html_baseurl'): html_baseurl = context['canonical_url'] context['canonical_url'] = None if 'html_context' in globals(): html_context.update(context) else: html_context = context # Add custom RTD extension if 'extensions' in globals(): # Insert at the beginning because it can interfere # with other extensions. # See https://github.com/rtfd/readthedocs.org/pull/4054 extensions.insert(0, "readthedocs_ext.readthedocs") else: extensions = ["readthedocs_ext.readthedocs"] # Add External version warning banner to the external version documentation if 'branch' == 'external': extensions.insert(1, "readthedocs_ext.external_version_warning") readthedocs_vcs_url = 'None' readthedocs_build_url = 'https://readthedocs.com/projects/feature-labs-inc-evalml/builds/1493290/' 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: 2023-05-24T15:00:13.962036Z, end-time: 2023-05-24T15:21:09.733839Z, duration: 1255, 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. 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 Exception in thread Heartbeat: Traceback (most recent call last): File "/home/docs/.asdf/installs/python/3.8.15/lib/python3.8/threading.py", line 932, in _bootstrap_inner self.run() File "/home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/ipykernel/heartbeat.py", line 99, in run self._bind_socket() File "/home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/ipykernel/heartbeat.py", line 78, in _bind_socket self._try_bind_socket() File "/home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/ipykernel/heartbeat.py", line 65, in _try_bind_socket return self.socket.bind(f"{self.transport}://{self.ip}" + c + str(self.port)) File "/home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/zmq/sugar/socket.py", line 301, in bind super().bind(addr) File "zmq/backend/cython/socket.pyx", line 564, in zmq.backend.cython.socket.Socket.bind File "zmq/backend/cython/checkrc.pxd", line 28, in zmq.backend.cython.checkrc._check_rc zmq.error.ZMQError: Address already in use 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. /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/release_notes.rst:51: 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. 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. /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/release_notes.rst:51: 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 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WARNING: Missing searchtools: /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/_readthedocs/pdf/_static/searchtools.js [rtd-command-info] start-time: 2023-05-24T15:39:16.900619Z, end-time: 2023-05-24T15:39:16.970919Z, duration: 0, exit-code: 0 cat latexmkrc $latex = 'latex ' . $ENV{'LATEXOPTS'} . ' %O %S'; $pdflatex = 'pdflatex ' . $ENV{'LATEXOPTS'} . ' %O %S'; $lualatex = 'lualatex ' . $ENV{'LATEXOPTS'} . ' %O %S'; $xelatex = 'xelatex --no-pdf ' . $ENV{'LATEXOPTS'} . ' %O %S'; $makeindex = 'makeindex -s python.ist %O -o %D %S'; add_cus_dep( "glo", "gls", 0, "makeglo" ); sub makeglo { return system( "makeindex -s gglo.ist -o '$_[0].gls' '$_[0].glo'" ); } [rtd-command-info] start-time: 2023-05-24T15:39:17.214239Z, end-time: 2023-05-24T15:40:56.661075Z, duration: 99, exit-code: 0 latexmk -r latexmkrc -pdf -f -dvi- -ps- -jobname=feature-labs-inc-evalml -interaction=nonstopmode ... (truncated) ... Command output too long. 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is_defined_for_problem_type() Overfull \hbox (1.3025pt too wide) in paragraph at lines 5999--6001 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 6001--6003 []\T1/txtt/m/n/10 is_defined_for_problem_type() Overfull \hbox (132.59247pt too wide) in paragraph at lines 6001--6003 \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 6003--6005 []\T1/txtt/m/n/10 is_defined_for_problem_type() Overfull \hbox (5.10248pt too wide) in paragraph at lines 6003--6005 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.BinaryClassificationObjective [2074] Underfull \hbox (badness 10000) in paragraph at lines 6005--6007 []\T1/txtt/m/n/10 is_defined_for_problem_type() Overfull \hbox (39.06248pt too wide) in paragraph at lines 6005--6007 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 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(\T1/qtm/m/it/10 evalml.objectives.F1Micro class method\T1/qtm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 6017--6019 []\T1/txtt/m/n/10 is_defined_for_problem_type() 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.fraud_cost.FraudCost 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 6021--6023 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.FraudCost class method\T1/qtm /m/n/10 ), 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.lead_scoring.LeadScoring 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 6029--6031 []\T1/txtt/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 6029--6031 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.LogLossBinary class 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.LogLossMulticlass class 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 6035--6037 []\T1/txtt/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 6035--6037 \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 6037--6039 []\T1/txtt/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 6037--6039 \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 6039--6041 []\T1/txtt/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 6041--6043 []\T1/txtt/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 6041--6043 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.MCCMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 6043--6045 []\T1/txtt/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 6043--6045 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.MeanSquaredLogError 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 6045--6047 \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 6047--6049 []\T1/txtt/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 6049--6051 []\T1/txtt/m/n/10 is_defined_for_problem_type() Overfull \hbox (160.89246pt too wide) in paragraph at lines 6049--6051 \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 6051--6053 []\T1/txtt/m/n/10 is_defined_for_problem_type() Overfull \hbox (19.25247pt too wide) in paragraph at lines 6051--6053 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 6053--6055 []\T1/txtt/m/n/10 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6061--6063 []\T1/txtt/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 6061--6063 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.PrecisionMicro class Underfull \hbox (badness 10000) in paragraph at lines 6063--6065 []\T1/txtt/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 6063--6065 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.PrecisionWeighted class Underfull \hbox (badness 10000) in paragraph at lines 6065--6067 []\T1/txtt/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 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.Recall class method\T1/qtm/m/ n/10 ), 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 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lines 6079--6081 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.RootMeanSquaredError [2075] 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 6081--6083 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 6083--6085 []\T1/txtt/m/n/10 is_defined_for_problem_type() Overfull \hbox (48.63248pt too wide) in paragraph at lines 6083--6085 \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 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.SensitivityLowAlert class Underfull \hbox (badness 10000) in paragraph at lines 6087--6089 []\T1/txtt/m/n/10 is_defined_for_problem_type() Overfull 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is_defined_for_problem_type() Overfull \hbox (145.92244pt too wide) in paragraph at lines 6157--6159 \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.time_series_regression_object ive.TimeSeriesRegressionObjective Overfull \hbox (67.61229pt too wide) in paragraph at lines 6159--6161 []\T1/txtt/m/n/10 is_freq_valid() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipeli nes.components.PolynomialDecomposer Overfull \hbox (38.32228pt too wide) in paragraph at lines 6161--6163 []\T1/txtt/m/n/10 is_freq_valid() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipeli nes.components.STLDecomposer Overfull \hbox (121.23227pt too wide) in paragraph at lines 6163--6165 []\T1/txtt/m/n/10 is_freq_valid() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipeli nes.components.transformers.PolynomialDecomposer Overfull \hbox (134.43225pt too wide) in paragraph at lines 6165--6167 []\T1/txtt/m/n/10 is_freq_valid() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipeli nes.components.transformers.preprocessing.Decomposer Overfull \hbox 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7331--7333 []| \T1/txtt/m/n/10 evalml.pipelines.components.transformers.preprocessing.repl ace_nullable_types\T1/qtm/m/n/10 , Overfull \hbox (154.87144pt too wide) in paragraph at lines 7333--7335 []| \T1/txtt/m/n/10 evalml.pipelines.components.transformers.preprocessing.stl_ decomposer\T1/qtm/m/n/10 , Overfull \hbox (165.37141pt too wide) in paragraph at lines 7335--7337 []| \T1/txtt/m/n/10 evalml.pipelines.components.transformers.preprocessing.text _transformer\T1/qtm/m/n/10 , Overfull \hbox (196.87132pt too wide) in paragraph at lines 7337--7339 []| \T1/txtt/m/n/10 evalml.pipelines.components.transformers.preprocessing.time _series_featurizer\T1/qtm/m/n/10 , Overfull \hbox (202.1213pt too wide) in paragraph at lines 7339--7341 []| \T1/txtt/m/n/10 evalml.pipelines.components.transformers.preprocessing.time _series_regularizer\T1/qtm/m/n/10 , Overfull \hbox (238.8712pt too wide) in paragraph at lines 7341--7343 []| \T1/txtt/m/n/10 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evalml.pipelines.time_series_regression_pipeline\T1/qtm/m/n /10 , Overfull \hbox (23.62183pt too wide) in paragraph at lines 7365--7366 []| \T1/txtt/m/n/10 evalml.preprocessing.data_splitters.no_split\T1/qtm/m/n/10 , Overfull \hbox (44.62177pt too wide) in paragraph at lines 7366--7367 []| \T1/txtt/m/n/10 evalml.preprocessing.data_splitters.sk_splitters\T1/qtm/m/n /10 , Overfull \hbox (70.87169pt too wide) in paragraph at lines 7367--7368 []| \T1/txtt/m/n/10 evalml.preprocessing.data_splitters.time_series_split\T1/qt m/m/n/10 , Overfull \hbox (112.87157pt too wide) in paragraph at lines 7368--7370 []| \T1/txtt/m/n/10 evalml.preprocessing.data_splitters.training_validation_spl it\T1/qtm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7390--7392 []\T1/txtt/m/n/10 MulticlassClassificationObjective \T1/qtm/m/n/10 (\T1/qtm/m/i t/10 class in Underfull \hbox (badness 10000) in paragraph at lines 7392--7394 []\T1/txtt/m/n/10 MulticlassClassificationObjective \T1/qtm/m/n/10 (\T1/qtm/m/i t/10 class in Overfull \hbox (26.19247pt too wide) in paragraph at lines 7392--7394 \T1/qtm/m/it/10 evalml.objectives.multiclass_classification_objective\T1/qtm/m/ n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 7394--7396 []\T1/txtt/m/n/10 MulticlassClassificationPipeline \T1/qtm/m/n/10 (\T1/qtm/m/it /10 class in Underfull \hbox (badness 10000) in paragraph at lines 7396--7398 []\T1/txtt/m/n/10 MulticlassClassificationPipeline \T1/qtm/m/n/10 (\T1/qtm/m/it /10 class in Overfull \hbox (19.0325pt too wide) in paragraph at lines 7396--7398 \T1/qtm/m/it/10 evalml.pipelines.multiclass_classification_pipeline\T1/qtm/m/n/ 10 ), Underfull \hbox (badness 10000) in paragraph at lines 7398--7400 []\T1/txtt/m/n/10 MulticollinearityDataCheck \T1/qtm/m/n/10 (\T1/qtm/m/it/10 cl ass in Underfull \hbox (badness 10000) in paragraph at lines 7400--7402 []\T1/txtt/m/n/10 MulticollinearityDataCheck \T1/qtm/m/n/10 (\T1/qtm/m/it/10 cl ass in Overfull \hbox (13.24744pt too wide) in paragraph at lines 7400--7402 \T1/qtm/m/it/10 evalml.data_checks.multicollinearity_data_check\T1/qtm/m/n/10 ) , Overfull \hbox (115.2624pt too wide) in paragraph at lines 7405--7407 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.binary _classification_objective.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 7407--7409 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.Binary ClassificationObjective Overfull \hbox (143.5624pt too wide) in paragraph at lines 7409--7411 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.multic lass_classification_objective.MulticlassClassificationObjective Overfull \hbox (1.92241pt too wide) in paragraph at lines 7411--7413 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.Multic lassClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 7413--7415 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.object ive_base.ObjectiveBase Overfull \hbox (33.75237pt too wide) in paragraph at lines 7416--7418 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.regres sion_objective.RegressionObjective Overfull \hbox (128.59238pt too wide) in paragraph at lines 7419--7421 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.objectives.time_s eries_regression_objective.TimeSeriesRegressionObjective [2089] Overfull \hbox (103.41245pt too wide) in paragraph at lines 7421--7423 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.binary_ classification_pipeline.BinaryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 7423--7425 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.BinaryC lassificationPipeline Overfull \hbox (44.48244pt too wide) in paragraph at lines 7425--7427 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.classif ication_pipeline.ClassificationPipeline Overfull \hbox (49.17245pt too wide) in paragraph at lines 7429--7431 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.compone nts.component_base.ComponentBase Underfull \hbox (badness 10000) in paragraph at lines 7431--7433 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.compone nts.ComponentBase Overfull \hbox (140.22244pt too wide) in paragraph at lines 7433--7435 []\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 7435--7437 []\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 7438--7440 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.compone nts.estimators.classifiers.vowpal_wabbit_classifiers.VowpalWabbitBaseClassifier Overfull \hbox (36.36241pt too wide) in paragraph at lines 7442--7444 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.compone nts.estimators.estimator.Estimator Underfull \hbox (badness 10000) in paragraph at lines 7444--7446 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.compone nts.FeatureSelector Overfull \hbox (2.88245pt too wide) in paragraph at lines 7446--7448 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.compone nts.StackedEnsembleBase Underfull \hbox (badness 10000) in paragraph at lines 7448--7450 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.compone nts.Transformer prop- Overfull \hbox (104.11243pt too wide) in paragraph at lines 7450--7452 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.compone nts.transformers.column_selectors.ColumnSelector Overfull \hbox (167.63234pt too wide) in paragraph at lines 7452--7454 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.compone nts.transformers.feature_selection.feature_selector.FeatureSelector Overfull \hbox (101.54237pt too wide) in paragraph at lines 7454--7456 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.compone nts.transformers.feature_selection.FeatureSelector Overfull \hbox (345.71231pt too wide) in paragraph at lines 7456--7458 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.compone nts.transformers.feature_selection.recursive_feature_elimination_selector.Recur siveFeatureEliminationSelector Overfull \hbox (30.7624pt too wide) in paragraph at lines 7458--7460 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.compone nts.transformers.FeatureSelector Overfull \hbox (160.24236pt too wide) in paragraph at lines 7460--7462 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.compone nts.transformers.preprocessing.text_transformer.TextTransformer Overfull \hbox (91.77237pt too wide) in paragraph at lines 7462--7464 []\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 7464--7466 []\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 7466--7468 []\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 7468--7470 []\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 7472--7474 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.multicl ass_classification_pipeline.MulticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 7474--7476 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.Multicl assClassificationPipeline Overfull \hbox (21.9024pt too wide) in paragraph at lines 7479--7481 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.regress ion_pipeline.RegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 7481--7482 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.Regress ionPipeline prop-erty\T1/qtm/m/n/10 ), Overfull \hbox (170.73245pt too wide) in paragraph at lines 7483--7485 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.time_se ries_classification_pipelines.TimeSeriesBinaryClassificationPipeline Overfull \hbox (143.21245pt too wide) in paragraph at lines 7485--7487 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.time_se ries_classification_pipelines.TimeSeriesClassificationPipeline Overfull \hbox (184.88245pt too wide) in paragraph at lines 7487--7489 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.time_se ries_classification_pipelines.TimeSeriesMulticlassClassificationPipeline Overfull \hbox (69.30246pt too wide) in paragraph at lines 7489--7491 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.time_se ries_pipeline_base.TimeSeriesPipelineBase Overfull \hbox (116.74242pt too wide) in paragraph at lines 7491--7493 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.time_se ries_regression_pipeline.TimeSeriesRegressionPipeline Overfull \hbox (23.79245pt too wide) in paragraph at lines 7493--7495 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.TimeSer iesBinaryClassificationPipeline Overfull \hbox (37.94244pt too wide) in paragraph at lines 7497--7499 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.TimeSer iesMulticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 7499--7501 []\T1/txtt/m/n/10 name \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.TimeSer iesRegressionPipeline Overfull \hbox (115.34233pt too wide) in paragraph at lines 7502--7504 []\T1/txtt/m/n/10 name() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.data_checks.cla ss_imbalance_data_check.ClassImbalanceDataCheck Underfull \hbox (badness 10000) in paragraph at lines 7506--7508 []\T1/txtt/m/n/10 name() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.data_checks.dat a_check.DataCheck Overfull \hbox (79.89235pt too wide) in paragraph at lines 7508--7510 []\T1/txtt/m/n/10 name() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.data_checks.dat a_check_action_code.DataCheckActionCode Overfull \hbox (140.44235pt too wide) in paragraph at lines 7510--7512 []\T1/txtt/m/n/10 name() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.data_checks.dat a_check_action_option.DCAOParameterAllowedValuesType Overfull \hbox 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predict() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.Pi pelineBase method\T1/qtm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 9812--9814 []\T1/txtt/m/n/10 predict() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.Ra ndomForestClassifier Underfull \hbox (badness 10000) in paragraph at lines 9814--9816 []\T1/txtt/m/n/10 predict() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.Ra ndomForestRegressor Overfull \hbox (48.15233pt too wide) in paragraph at lines 9816--9818 []\T1/txtt/m/n/10 predict() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.re gression_pipeline.RegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 9818--9819 []\T1/txtt/m/n/10 predict() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.Re gressionPipeline 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.St ackedEnsembleBase Underfull \hbox (badness 10000) in paragraph at lines 9825--9826 []\T1/txtt/m/n/10 predict() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.SV MClassifier method\T1/qtm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 9826--9827 []\T1/txtt/m/n/10 predict() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.SV MRegressor method\T1/qtm/m/n/10 ), Overfull \hbox (196.98238pt too wide) in paragraph at lines 9827--9829 []\T1/txtt/m/n/10 predict() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.ti me_series_classification_pipelines.TimeSeriesBinaryClassificationPipeline Overfull \hbox (169.46237pt too wide) in paragraph at lines 9829--9831 []\T1/txtt/m/n/10 predict() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.ti me_series_classification_pipelines.TimeSeriesClassificationPipeline Overfull \hbox (211.13237pt too wide) in paragraph at lines 9831--9833 []\T1/txtt/m/n/10 predict() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.ti me_series_classification_pipelines.TimeSeriesMulticlassClassificationPipeline Overfull \hbox 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at lines 9843--9845 []\T1/txtt/m/n/10 predict() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.Ti meSeriesRegressionPipeline Overfull \hbox (13.80237pt too wide) in paragraph at lines 9845--9847 []\T1/txtt/m/n/10 predict() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.Vo wpalWabbitBinaryClassifier Overfull \hbox (27.95236pt too wide) in paragraph at lines 9847--9849 []\T1/txtt/m/n/10 predict() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.Vo wpalWabbitMulticlassClassifier Underfull \hbox (badness 10000) in paragraph at lines 9849--9851 []\T1/txtt/m/n/10 predict() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.Vo wpalWabbitRegressor Underfull \hbox (badness 10000) in paragraph at lines 9851--9852 []\T1/txtt/m/n/10 predict() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.XG BoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 9852--9853 []\T1/txtt/m/n/10 predict() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.XG BoostRegressor Underfull \hbox (badness 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nes.components.estimators.XGBoostClassifier Overfull \hbox (91.39226pt too wide) in paragraph at lines 10089--10091 []\T1/txtt/m/n/10 predict_proba() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipeli nes.components.estimators.XGBoostRegressor Overfull \hbox (102.42227pt too wide) in paragraph at lines 10091--10093 []\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 10093--10095 []\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 10095--10097 []\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 10097--10099 []\T1/txtt/m/n/10 predict_proba() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipeli nes.components.KNeighborsClassifier 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nes.components.VowpalWabbitMulticlassClassifier Overfull \hbox (69.61227pt too wide) in paragraph at lines 10131--10133 []\T1/txtt/m/n/10 predict_proba() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipeli nes.components.VowpalWabbitRegressor Overfull \hbox (46.01227pt too wide) in paragraph at lines 10133--10135 []\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 10135--10137 []\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 10137--10139 []\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 10139--10141 []\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) 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Overfull \hbox (31.70737pt too wide) in paragraph at lines 11575--11577 []\T1/txtt/m/n/10 t_sne() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 in mod-ule evalml.mod el_understanding.visualizations\T1/qtm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 11577--11579 []\T1/txtt/m/n/10 target_distribution() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 in mod- ule Underfull \hbox (badness 10000) in paragraph at lines 11579--11581 []\T1/txtt/m/n/10 target_distribution() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 in mod- ule Underfull \hbox (badness 10000) in paragraph at lines 11581--11583 []\T1/txtt/m/n/10 TargetDistributionDataCheck \T1/qtm/m/n/10 (\T1/qtm/m/it/10 c lass in Underfull \hbox (badness 10000) in paragraph at lines 11583--11585 []\T1/txtt/m/n/10 TargetDistributionDataCheck \T1/qtm/m/n/10 (\T1/qtm/m/it/10 c lass in Overfull \hbox (21.24742pt too wide) in paragraph at lines 11583--11585 \T1/qtm/m/it/10 evalml.data_checks.target_distribution_data_check\T1/qtm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 11587--11589 []\T1/txtt/m/n/10 TargetEncoder \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 11587--11589 \T1/qtm/m/it/10 evalml.pipelines.components.transformers\T1/qtm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 11589--11591 []\T1/txtt/m/n/10 TargetEncoder \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class in Overfull \hbox (23.36748pt too wide) in paragraph at lines 11589--11591 \T1/qtm/m/it/10 evalml.pipelines.components.transformers.encoders\T1/qtm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 11591--11593 []\T1/txtt/m/n/10 TargetEncoder \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class in Overfull \hbox (86.6225pt too wide) in paragraph at lines 11591--11593 \T1/qtm/m/it/10 evalml.pipelines.components.transformers.encoders.target_encode r\T1/qtm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 11594--11596 []\T1/txtt/m/n/10 TargetImputer \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 11594--11596 \T1/qtm/m/it/10 evalml.pipelines.components.transformers\T1/qtm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 11596--11598 []\T1/txtt/m/n/10 TargetImputer \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class in Overfull \hbox (22.11748pt too wide) in paragraph at lines 11596--11598 \T1/qtm/m/it/10 evalml.pipelines.components.transformers.imputers\T1/qtm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 11598--11600 []\T1/txtt/m/n/10 TargetImputer \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class in Overfull \hbox (84.1225pt too wide) in paragraph at lines 11598--11600 \T1/qtm/m/it/10 evalml.pipelines.components.transformers.imputers.target_impute r\T1/qtm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 11600--11602 []\T1/txtt/m/n/10 TargetImputerMeta \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class in Overfull \hbox (84.1225pt too wide) in paragraph at lines 11600--11602 \T1/qtm/m/it/10 evalml.pipelines.components.transformers.imputers.target_impute r\T1/qtm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 11602--11603 []\T1/txtt/m/n/10 TargetLeakageDataCheck \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 11603--11605 []\T1/txtt/m/n/10 TargetLeakageDataCheck \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class in Overfull \hbox (5.41742pt too wide) in paragraph at lines 11603--11605 \T1/qtm/m/it/10 evalml.data_checks.target_leakage_data_check\T1/qtm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 11605--11607 []\T1/txtt/m/n/10 TextTransformer \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class in Overfull \hbox (43.47247pt too wide) in paragraph at lines 11605--11607 \T1/qtm/m/it/10 evalml.pipelines.components.transformers.preprocessing\T1/qtm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 11607--11609 []\T1/txtt/m/n/10 TextTransformer \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class in Overfull \hbox (113.15245pt too wide) in paragraph at lines 11607--11609 \T1/qtm/m/it/10 evalml.pipelines.components.transformers.preprocessing.text_tra nsformer\T1/qtm/m/n/10 ), Overfull \hbox (129.66237pt too wide) in paragraph at lines 11609--11611 []\T1/txtt/m/n/10 threshold \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.bi nary_classification_pipeline.BinaryClassificationPipeline Overfull \hbox (180.21237pt too wide) in paragraph at lines 11611--11613 []\T1/txtt/m/n/10 threshold \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.bi nary_classification_pipeline_mixin.BinaryClassificationPipelineMixin Overfull \hbox (5.75237pt too wide) in paragraph at lines 11613--11615 []\T1/txtt/m/n/10 threshold \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.Bi naryClassificationPipeline Overfull \hbox (196.98238pt too wide) in paragraph at lines 11615--11617 []\T1/txtt/m/n/10 threshold \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.ti me_series_classification_pipelines.TimeSeriesBinaryClassificationPipeline Overfull \hbox (50.04237pt too wide) in paragraph at lines 11617--11619 []\T1/txtt/m/n/10 threshold \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.pipelines.Ti meSeriesBinaryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 11620--11622 []\T1/txtt/m/n/10 TimeSeriesBaselineEstimator \T1/qtm/m/n/10 (\T1/qtm/m/it/10 c lass in Underfull \hbox (badness 10000) in paragraph at lines 11622--11624 []\T1/txtt/m/n/10 TimeSeriesBaselineEstimator \T1/qtm/m/n/10 (\T1/qtm/m/it/10 c lass in Underfull \hbox (badness 10000) in paragraph at lines 11622--11624 \T1/qtm/m/it/10 evalml.pipelines.components.estimators\T1/qtm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 11624--11626 []\T1/txtt/m/n/10 TimeSeriesBaselineEstimator \T1/qtm/m/n/10 (\T1/qtm/m/it/10 c lass in Overfull \hbox (18.88745pt too wide) in paragraph at lines 11624--11626 \T1/qtm/m/it/10 evalml.pipelines.components.estimators.regressors\T1/qtm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 11626--11628 []\T1/txtt/m/n/10 TimeSeriesBaselineEstimator \T1/qtm/m/n/10 (\T1/qtm/m/it/10 c lass in Overfull \hbox (148.30246pt too wide) in paragraph at lines 11626--11628 \T1/qtm/m/it/10 evalml.pipelines.components.estimators.regressors.time_series_b aseline_estimator\T1/qtm/m/n/10 ), Overfull \hbox (37.41748pt too wide) in paragraph at lines 11630--11632 \T1/qtm/m/it/10 in evalml.pipelines.time_series_classification_pipelines\T1/qtm /m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 11632--11634 []\T1/txtt/m/n/10 TimeSeriesClassificationPipeline \T1/qtm/m/n/10 (\T1/qtm/m/it /10 class in Underfull \hbox (badness 10000) in paragraph at lines 11634--11636 []\T1/txtt/m/n/10 TimeSeriesClassificationPipeline \T1/qtm/m/n/10 (\T1/qtm/m/it /10 class in Overfull \hbox (27.96748pt too wide) in paragraph at lines 11634--11636 \T1/qtm/m/it/10 evalml.pipelines.time_series_classification_pipelines\T1/qtm/m/ n/10 ), Underfull \hbox (badness 6859) in paragraph at lines 11636--11637 []\T1/txtt/m/n/10 TimeSeriesFeaturizer \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class in evalml.pipelines\T1/qtm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 11637--11639 []\T1/txtt/m/n/10 TimeSeriesFeaturizer \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 11639--11641 []\T1/txtt/m/n/10 TimeSeriesFeaturizer \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 11639--11641 \T1/qtm/m/it/10 evalml.pipelines.components.transformers\T1/qtm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 11641--11643 []\T1/txtt/m/n/10 TimeSeriesFeaturizer \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class in Overfull \hbox (43.47247pt too wide) in paragraph at lines 11641--11643 \T1/qtm/m/it/10 evalml.pipelines.components.transformers.preprocessing\T1/qtm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 11643--11645 []\T1/txtt/m/n/10 TimeSeriesFeaturizer \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class in Overfull \hbox (135.62245pt too wide) in paragraph at lines 11643--11645 \T1/qtm/m/it/10 evalml.pipelines.components.transformers.preprocessing.time_ser ies_featurizer\T1/qtm/m/n/10 ), [2132] Underfull \hbox (badness 10000) in paragraph at lines 11646--11648 []\T1/txtt/m/n/10 TimeSeriesImputer \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 11648--11650 []\T1/txtt/m/n/10 TimeSeriesImputer \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 11648--11650 \T1/qtm/m/it/10 evalml.pipelines.components.transformers\T1/qtm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 11650--11652 []\T1/txtt/m/n/10 TimeSeriesImputer \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class in Overfull \hbox (22.11748pt too wide) in paragraph at lines 11650--11652 \T1/qtm/m/it/10 evalml.pipelines.components.transformers.imputers\T1/qtm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 11652--11654 []\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 11652--11654 \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 11654--11656 []\T1/txtt/m/n/10 TimeSeriesMulticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 11656--11658 []\T1/txtt/m/n/10 TimeSeriesMulticlassClassificationPipeline Overfull \hbox (62.41748pt too wide) in paragraph at lines 11656--11658 \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 11658--11660 []\T1/txtt/m/n/10 TimeSeriesParametersDataCheck \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class in Underfull \hbox 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TimeSeriesRegressionPipeline \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 11668--11670 []\T1/txtt/m/n/10 TimeSeriesRegressionPipeline \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class in Overfull \hbox (12.66248pt too wide) in paragraph at lines 11668--11670 \T1/qtm/m/it/10 evalml.pipelines.time_series_regression_pipeline\T1/qtm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 11671--11673 []\T1/txtt/m/n/10 TimeSeriesRegularizer \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class i n Underfull \hbox (badness 10000) in paragraph at lines 11673--11675 []\T1/txtt/m/n/10 TimeSeriesRegularizer \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class i n Underfull \hbox (badness 10000) in paragraph at lines 11673--11675 \T1/qtm/m/it/10 evalml.pipelines.components.transformers\T1/qtm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 11675--11677 []\T1/txtt/m/n/10 TimeSeriesRegularizer \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class i n Overfull \hbox (43.47247pt too wide) in paragraph at lines 11675--11677 \T1/qtm/m/it/10 evalml.pipelines.components.transformers.preprocessing\T1/qtm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 11677--11679 []\T1/txtt/m/n/10 TimeSeriesRegularizer \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class i n Overfull \hbox (141.73245pt too wide) in paragraph at lines 11677--11679 \T1/qtm/m/it/10 evalml.pipelines.components.transformers.preprocessing.time_ser ies_regularizer\T1/qtm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 11680--11682 []\T1/txtt/m/n/10 TimeSeriesSplit \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 11682--11684 []\T1/txtt/m/n/10 TimeSeriesSplit \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class in Overfull \hbox (28.92249pt too wide) in paragraph at lines 11682--11684 \T1/qtm/m/it/10 evalml.preprocessing.data_splitters.time_series_split\T1/qtm/m/ n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 11684--11686 []\T1/txtt/m/n/10 TimeSeriesSplittingDataCheck \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 11686--11688 []\T1/txtt/m/n/10 TimeSeriesSplittingDataCheck \T1/qtm/m/n/10 (\T1/qtm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 11686--11688 \T1/qtm/m/it/10 evalml.data_checks.ts_splitting_data_check\T1/qtm/m/n/10 ), Overfull \hbox (50.6523pt too wide) in paragraph at lines 11688--11690 []\T1/txtt/m/n/10 to_dict() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.data_checks. data_check_action.DataCheckAction Overfull \hbox (108.6923pt too wide) in paragraph at lines 11690--11692 []\T1/txtt/m/n/10 to_dict() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.data_checks. data_check_action_option.DataCheckActionOption Overfull \hbox (55.70229pt too wide) in paragraph at lines 11692--11694 []\T1/txtt/m/n/10 to_dict() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.data_checks. data_check_message.DataCheckError Overfull \hbox (67.71228pt too wide) in paragraph at lines 11694--11696 []\T1/txtt/m/n/10 to_dict() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.data_checks. data_check_message.DataCheckMessage Overfull \hbox (67.47226pt too wide) in paragraph at lines 11696--11698 []\T1/txtt/m/n/10 to_dict() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.data_checks. data_check_message.DataCheckWarning Underfull \hbox (badness 10000) in paragraph at lines 11698--11699 []\T1/txtt/m/n/10 to_dict() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.data_checks. DataCheckAction Overfull \hbox (0.84233pt too wide) in paragraph at lines 11699--11701 []\T1/txtt/m/n/10 to_dict() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.data_checks. DataCheckActionOption Underfull \hbox (badness 10000) in paragraph at lines 11701--11702 []\T1/txtt/m/n/10 to_dict() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.data_checks. DataCheckError Underfull \hbox (badness 10000) in paragraph at lines 11702--11704 []\T1/txtt/m/n/10 to_dict() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.data_checks. DataCheckMessage Underfull \hbox (badness 10000) in paragraph at lines 11704--11706 []\T1/txtt/m/n/10 to_dict() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 evalml.data_checks. 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class in Underfull \hbox (badness 10000) in paragraph at lines 13151--13153 []\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 13153--13155 []\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 [2150] Underfull \hbox (badness 10000) in paragraph at lines 13159--13161 []\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 13161--13163 []\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 13161--13163 \T1/qtm/m/it/10 evalml.pipelines.components.estimators\T1/qtm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 13163--13165 []\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 13163--13165 \T1/qtm/m/it/10 evalml.pipelines.components.estimators.classifiers\T1/qtm/m/n/1 0 ), Underfull \hbox (badness 10000) in paragraph at lines 13165--13167 []\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 13165--13167 \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 13168--13170 []\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 13170--13172 []\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 13170--13172 \T1/qtm/m/it/10 evalml.pipelines.components.estimators\T1/qtm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 13172--13174 []\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 13172--13174 \T1/qtm/m/it/10 evalml.pipelines.components.estimators.regressors\T1/qtm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 13174--13176 []\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 13174--13176 \T1/qtm/m/it/10 evalml.pipelines.components.estimators.regressors.xgboost_regre ssor\T1/qtm/m/n/10 ), [2151]) (./feature-labs-inc-evalml.aux) ) (see the transcript file for additional information){/usr/share/texmf/fonts/enc /dvips/tex-gyre/q-ec.enc}{/usr/share/texmf/fonts/enc/dvips/tex-gyre/q-ts1.enc}{ /usr/share/texlive/texmf-dist/fonts/enc/dvips/base/8r.enc} Output written on feature-labs-inc-evalml.pdf (2155 pages, 6563951 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