Read the Docs build information Build id: 583845 Project: feature-labs-inc-evalml Version: main Commit: 30a8295595db9b5b1ce0dc3c6b063ea41763d881 Date: 2021-03-09T00:46:36.175878Z State: finished Success: True [rtd-command-info] start-time: 2021-03-09T00:46:37.980552Z, end-time: 2021-03-09T00:46:41.070719Z, duration: 3, exit-code: 0 git clone --no-single-branch --depth 50 git@github.com:alteryx/evalml.git . Cloning into '.'... Warning: Permanently added 'github.com,192.30.255.112' (RSA) to the list of known hosts. [rtd-command-info] start-time: 2021-03-09T00:47:04.323045Z, end-time: 2021-03-09T00:47:04.499556Z, duration: 0, exit-code: 0 git checkout --force origin/main Note: checking out 'origin/main'. You are in 'detached HEAD' state. You can look around, make experimental changes and commit them, and you can discard any commits you make in this state without impacting any branches by performing another checkout. If you want to create a new branch to retain commits you create, you may do so (now or later) by using -b with the checkout command again. Example: git checkout -b HEAD is now at 30a82955 Demo of Two-way Part Dep Plots (#1919) [rtd-command-info] start-time: 2021-03-09T00:47:04.323045Z, end-time: 2021-03-09T00:47:04.499556Z, duration: 0, exit-code: 0 git checkout --force origin/main Note: checking out 'origin/main'. You are in 'detached HEAD' state. You can look around, make experimental changes and commit them, and you can discard any commits you make in this state without impacting any branches by performing another checkout. If you want to create a new branch to retain commits you create, you may do so (now or later) by using -b with the checkout command again. Example: git checkout -b HEAD is now at 30a82955 Demo of Two-way Part Dep Plots (#1919) [rtd-command-info] start-time: 2021-03-09T00:47:04.323045Z, end-time: 2021-03-09T00:47:04.499556Z, duration: 0, exit-code: 0 git checkout --force origin/main Note: checking out 'origin/main'. You are in 'detached HEAD' state. You can look around, make experimental changes and commit them, and you can discard any commits you make in this state without impacting any branches by performing another checkout. If you want to create a new branch to retain commits you create, you may do so (now or later) by using -b with the checkout command again. Example: git checkout -b HEAD is now at 30a82955 Demo of Two-way Part Dep Plots (#1919) [rtd-command-info] start-time: 2021-03-09T00:47:04.323045Z, end-time: 2021-03-09T00:47:04.499556Z, duration: 0, exit-code: 0 git checkout --force origin/main Note: checking out 'origin/main'. You are in 'detached HEAD' state. You can look around, make experimental changes and commit them, and you can discard any commits you make in this state without impacting any branches by performing another checkout. If you want to create a new branch to retain commits you create, you may do so (now or later) by using -b with the checkout command again. Example: git checkout -b HEAD is now at 30a82955 Demo of Two-way Part Dep Plots (#1919) [rtd-command-info] start-time: 2021-03-09T00:47:22.993296Z, end-time: 2021-03-09T00:47:23.069015Z, duration: 0, exit-code: 0 git clean -d -f -f [rtd-command-info] start-time: 2021-03-09T00:47:29.319108Z, end-time: 2021-03-09T00:47:33.610007Z, duration: 4, exit-code: 0 python3.8 -mvirtualenv Using base prefix '/home/docs/.pyenv/versions/3.8.6' New python executable in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/bin/python3.8 Also creating executable in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/bin/python Installing setuptools, pip, wheel... done. [rtd-command-info] start-time: 2021-03-09T00:47:29.319108Z, end-time: 2021-03-09T00:47:33.610007Z, duration: 4, exit-code: 0 python3.8 -mvirtualenv Using base prefix '/home/docs/.pyenv/versions/3.8.6' New python executable in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/bin/python3.8 Also creating executable in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/bin/python Installing setuptools, pip, wheel... done. [rtd-command-info] start-time: 2021-03-09T00:47:38.903208Z, end-time: 2021-03-09T00:47:40.553184Z, duration: 1, exit-code: 0 python -m pip install --upgrade --no-cache-dir pip setuptools==41.0.1 Requirement already satisfied: pip in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (21.0.1) Collecting setuptools==41.0.1 Downloading setuptools-41.0.1-py2.py3-none-any.whl (575 kB) Installing collected packages: setuptools Attempting uninstall: setuptools Found existing installation: setuptools 54.1.1 Uninstalling setuptools-54.1.1: Successfully uninstalled setuptools-54.1.1 Successfully installed setuptools-41.0.1 [rtd-command-info] start-time: 2021-03-09T00:47:38.903208Z, end-time: 2021-03-09T00:47:40.553184Z, duration: 1, exit-code: 0 python -m pip install --upgrade --no-cache-dir pip setuptools==41.0.1 Requirement already satisfied: pip in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (21.0.1) Collecting setuptools==41.0.1 Downloading setuptools-41.0.1-py2.py3-none-any.whl (575 kB) Installing collected packages: setuptools Attempting uninstall: setuptools Found existing installation: setuptools 54.1.1 Uninstalling setuptools-54.1.1: Successfully uninstalled setuptools-54.1.1 Successfully installed setuptools-41.0.1 [rtd-command-info] start-time: 2021-03-09T00:47:45.818378Z, end-time: 2021-03-09T00:48:12.977986Z, duration: 27, exit-code: 0 python -m pip install --upgrade --no-cache-dir docutils==0.14 mock==1.0.1 pillow==5.4.1 alabaster>=0.7,<0.8,!=0.7.5 commonmark==0.8.1 recommonmark==0.5.0 sphinx<2 sphinx-rtd-theme<0.5 readthedocs-sphinx-ext<2.2 Collecting docutils==0.14 Downloading docutils-0.14-py3-none-any.whl (543 kB) Collecting mock==1.0.1 Downloading mock-1.0.1.zip (861 kB) Collecting pillow==5.4.1 Downloading Pillow-5.4.1.tar.gz (16.0 MB) Collecting alabaster!=0.7.5,<0.8,>=0.7 Downloading alabaster-0.7.12-py2.py3-none-any.whl (14 kB) Collecting commonmark==0.8.1 Downloading commonmark-0.8.1-py2.py3-none-any.whl (47 kB) Collecting recommonmark==0.5.0 Downloading recommonmark-0.5.0-py2.py3-none-any.whl (9.8 kB) Collecting sphinx<2 Downloading Sphinx-1.8.5-py2.py3-none-any.whl (3.1 MB) Collecting sphinx-rtd-theme<0.5 Downloading sphinx_rtd_theme-0.4.3-py2.py3-none-any.whl (6.4 MB) Collecting readthedocs-sphinx-ext<2.2 Downloading readthedocs_sphinx_ext-2.1.3-py2.py3-none-any.whl (11 kB) Collecting future Downloading future-0.18.2.tar.gz (829 kB) Collecting requests Downloading requests-2.25.1-py2.py3-none-any.whl (61 kB) Collecting Jinja2>=2.9 Downloading Jinja2-2.11.3-py2.py3-none-any.whl (125 kB) Collecting packaging Downloading packaging-20.9-py2.py3-none-any.whl (40 kB) Collecting imagesize Downloading imagesize-1.2.0-py2.py3-none-any.whl (4.8 kB) Requirement already satisfied: setuptools in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from sphinx<2) (41.0.1) Collecting six>=1.5 Downloading six-1.15.0-py2.py3-none-any.whl (10 kB) Collecting snowballstemmer>=1.1 Downloading snowballstemmer-2.1.0-py2.py3-none-any.whl (93 kB) Collecting sphinxcontrib-websupport Downloading sphinxcontrib_websupport-1.2.4-py2.py3-none-any.whl (39 kB) Collecting Pygments>=2.0 Downloading Pygments-2.8.1-py3-none-any.whl (983 kB) Collecting babel!=2.0,>=1.3 Downloading Babel-2.9.0-py2.py3-none-any.whl (8.8 MB) Collecting pytz>=2015.7 Downloading pytz-2021.1-py2.py3-none-any.whl (510 kB) Collecting MarkupSafe>=0.23 Downloading MarkupSafe-1.1.1-cp38-cp38-manylinux2010_x86_64.whl (32 kB) Collecting chardet<5,>=3.0.2 Downloading chardet-4.0.0-py2.py3-none-any.whl (178 kB) Collecting idna<3,>=2.5 Downloading idna-2.10-py2.py3-none-any.whl (58 kB) Collecting urllib3<1.27,>=1.21.1 Downloading urllib3-1.26.3-py2.py3-none-any.whl (137 kB) Collecting certifi>=2017.4.17 Downloading certifi-2020.12.5-py2.py3-none-any.whl (147 kB) Collecting pyparsing>=2.0.2 Downloading pyparsing-2.4.7-py2.py3-none-any.whl (67 kB) Collecting sphinxcontrib-serializinghtml Downloading sphinxcontrib_serializinghtml-1.1.4-py2.py3-none-any.whl (89 kB) Building wheels for collected packages: mock, pillow, future Building wheel for mock (setup.py): started Building wheel for mock (setup.py): finished with status 'done' Created wheel for mock: filename=mock-1.0.1-py3-none-any.whl size=23755 sha256=47593c3e194adf7ce8054ac48c9a0c628fdeb3e24a7ab2bfdb2e30bf2f2d26e6 Stored in directory: /tmp/pip-ephem-wheel-cache-t38hbx77/wheels/41/7c/21/90057f91c6ead7c77a90c52d6e85ca48bf82d8b0d3f8dfbb65 Building wheel for pillow (setup.py): started Building wheel for pillow (setup.py): finished with status 'done' Created wheel for pillow: filename=Pillow-5.4.1-cp38-cp38-linux_x86_64.whl size=1260051 sha256=7c2ae64986e1a17e368c25b4154955e0f7bdc5d798746d1637e79c2218d5ce00 Stored in directory: /tmp/pip-ephem-wheel-cache-t38hbx77/wheels/5f/a8/6b/5b7b3f764d879214eb03570f74d2b086201eb514e6ffa68d6d Building wheel for future (setup.py): started Building wheel for future (setup.py): finished with status 'done' Created wheel for future: filename=future-0.18.2-py3-none-any.whl size=491059 sha256=3fb479da32777aa77af0ead99d942341e8ea006d2527bff6920759acf8170c29 Stored in directory: /tmp/pip-ephem-wheel-cache-t38hbx77/wheels/8e/70/28/3d6ccd6e315f65f245da085482a2e1c7d14b90b30f239e2cf4 Successfully built mock pillow future Installing collected packages: urllib3, sphinxcontrib-serializinghtml, pytz, pyparsing, MarkupSafe, idna, chardet, certifi, sphinxcontrib-websupport, snowballstemmer, six, requests, Pygments, packaging, Jinja2, imagesize, future, docutils, babel, alabaster, sphinx, commonmark, sphinx-rtd-theme, recommonmark, readthedocs-sphinx-ext, pillow, mock Successfully installed Jinja2-2.11.3 MarkupSafe-1.1.1 Pygments-2.8.1 alabaster-0.7.12 babel-2.9.0 certifi-2020.12.5 chardet-4.0.0 commonmark-0.8.1 docutils-0.14 future-0.18.2 idna-2.10 imagesize-1.2.0 mock-1.0.1 packaging-20.9 pillow-5.4.1 pyparsing-2.4.7 pytz-2021.1 readthedocs-sphinx-ext-2.1.3 recommonmark-0.5.0 requests-2.25.1 six-1.15.0 snowballstemmer-2.1.0 sphinx-1.8.5 sphinx-rtd-theme-0.4.3 sphinxcontrib-serializinghtml-1.1.4 sphinxcontrib-websupport-1.2.4 urllib3-1.26.3 [rtd-command-info] start-time: 2021-03-09T00:47:45.818378Z, end-time: 2021-03-09T00:48:12.977986Z, duration: 27, exit-code: 0 python -m pip install --upgrade --no-cache-dir docutils==0.14 mock==1.0.1 pillow==5.4.1 alabaster>=0.7,<0.8,!=0.7.5 commonmark==0.8.1 recommonmark==0.5.0 sphinx<2 sphinx-rtd-theme<0.5 readthedocs-sphinx-ext<2.2 Collecting docutils==0.14 Downloading docutils-0.14-py3-none-any.whl (543 kB) Collecting mock==1.0.1 Downloading mock-1.0.1.zip (861 kB) Collecting pillow==5.4.1 Downloading Pillow-5.4.1.tar.gz (16.0 MB) Collecting alabaster!=0.7.5,<0.8,>=0.7 Downloading alabaster-0.7.12-py2.py3-none-any.whl (14 kB) Collecting commonmark==0.8.1 Downloading commonmark-0.8.1-py2.py3-none-any.whl (47 kB) Collecting recommonmark==0.5.0 Downloading recommonmark-0.5.0-py2.py3-none-any.whl (9.8 kB) Collecting sphinx<2 Downloading Sphinx-1.8.5-py2.py3-none-any.whl (3.1 MB) Collecting sphinx-rtd-theme<0.5 Downloading sphinx_rtd_theme-0.4.3-py2.py3-none-any.whl (6.4 MB) Collecting readthedocs-sphinx-ext<2.2 Downloading readthedocs_sphinx_ext-2.1.3-py2.py3-none-any.whl (11 kB) Collecting future Downloading future-0.18.2.tar.gz (829 kB) Collecting requests Downloading requests-2.25.1-py2.py3-none-any.whl (61 kB) Collecting Jinja2>=2.9 Downloading Jinja2-2.11.3-py2.py3-none-any.whl (125 kB) Collecting packaging Downloading packaging-20.9-py2.py3-none-any.whl (40 kB) Collecting imagesize Downloading imagesize-1.2.0-py2.py3-none-any.whl (4.8 kB) Requirement already satisfied: setuptools in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from sphinx<2) (41.0.1) Collecting six>=1.5 Downloading six-1.15.0-py2.py3-none-any.whl (10 kB) Collecting snowballstemmer>=1.1 Downloading snowballstemmer-2.1.0-py2.py3-none-any.whl (93 kB) Collecting sphinxcontrib-websupport Downloading sphinxcontrib_websupport-1.2.4-py2.py3-none-any.whl (39 kB) Collecting Pygments>=2.0 Downloading Pygments-2.8.1-py3-none-any.whl (983 kB) Collecting babel!=2.0,>=1.3 Downloading Babel-2.9.0-py2.py3-none-any.whl (8.8 MB) Collecting pytz>=2015.7 Downloading pytz-2021.1-py2.py3-none-any.whl (510 kB) Collecting MarkupSafe>=0.23 Downloading MarkupSafe-1.1.1-cp38-cp38-manylinux2010_x86_64.whl (32 kB) Collecting chardet<5,>=3.0.2 Downloading chardet-4.0.0-py2.py3-none-any.whl (178 kB) Collecting idna<3,>=2.5 Downloading idna-2.10-py2.py3-none-any.whl (58 kB) Collecting urllib3<1.27,>=1.21.1 Downloading urllib3-1.26.3-py2.py3-none-any.whl (137 kB) Collecting certifi>=2017.4.17 Downloading certifi-2020.12.5-py2.py3-none-any.whl (147 kB) Collecting pyparsing>=2.0.2 Downloading pyparsing-2.4.7-py2.py3-none-any.whl (67 kB) Collecting sphinxcontrib-serializinghtml Downloading sphinxcontrib_serializinghtml-1.1.4-py2.py3-none-any.whl (89 kB) Building wheels for collected packages: mock, pillow, future Building wheel for mock (setup.py): started Building wheel for mock (setup.py): finished with status 'done' Created wheel for mock: filename=mock-1.0.1-py3-none-any.whl size=23755 sha256=47593c3e194adf7ce8054ac48c9a0c628fdeb3e24a7ab2bfdb2e30bf2f2d26e6 Stored in directory: /tmp/pip-ephem-wheel-cache-t38hbx77/wheels/41/7c/21/90057f91c6ead7c77a90c52d6e85ca48bf82d8b0d3f8dfbb65 Building wheel for pillow (setup.py): started Building wheel for pillow (setup.py): finished with status 'done' Created wheel for pillow: filename=Pillow-5.4.1-cp38-cp38-linux_x86_64.whl size=1260051 sha256=7c2ae64986e1a17e368c25b4154955e0f7bdc5d798746d1637e79c2218d5ce00 Stored in directory: /tmp/pip-ephem-wheel-cache-t38hbx77/wheels/5f/a8/6b/5b7b3f764d879214eb03570f74d2b086201eb514e6ffa68d6d Building wheel for future (setup.py): started Building wheel for future (setup.py): finished with status 'done' Created wheel for future: filename=future-0.18.2-py3-none-any.whl size=491059 sha256=3fb479da32777aa77af0ead99d942341e8ea006d2527bff6920759acf8170c29 Stored in directory: /tmp/pip-ephem-wheel-cache-t38hbx77/wheels/8e/70/28/3d6ccd6e315f65f245da085482a2e1c7d14b90b30f239e2cf4 Successfully built mock pillow future Installing collected packages: urllib3, sphinxcontrib-serializinghtml, pytz, pyparsing, MarkupSafe, idna, chardet, certifi, sphinxcontrib-websupport, snowballstemmer, six, requests, Pygments, packaging, Jinja2, imagesize, future, docutils, babel, alabaster, sphinx, commonmark, sphinx-rtd-theme, recommonmark, readthedocs-sphinx-ext, pillow, mock Successfully installed Jinja2-2.11.3 MarkupSafe-1.1.1 Pygments-2.8.1 alabaster-0.7.12 babel-2.9.0 certifi-2020.12.5 chardet-4.0.0 commonmark-0.8.1 docutils-0.14 future-0.18.2 idna-2.10 imagesize-1.2.0 mock-1.0.1 packaging-20.9 pillow-5.4.1 pyparsing-2.4.7 pytz-2021.1 readthedocs-sphinx-ext-2.1.3 recommonmark-0.5.0 requests-2.25.1 six-1.15.0 snowballstemmer-2.1.0 sphinx-1.8.5 sphinx-rtd-theme-0.4.3 sphinxcontrib-serializinghtml-1.1.4 sphinxcontrib-websupport-1.2.4 urllib3-1.26.3 [rtd-command-info] start-time: 2021-03-09T00:48:18.228869Z, end-time: 2021-03-09T00:48:19.956260Z, duration: 1, exit-code: 0 python -m pip install --exists-action=w --no-cache-dir -r docs/readthedocs-requirements.txt Collecting setuptools>=45.1.0 Downloading setuptools-54.1.1-py3-none-any.whl (784 kB) Installing collected packages: setuptools Attempting uninstall: setuptools Found existing installation: setuptools 41.0.1 Uninstalling setuptools-41.0.1: Successfully uninstalled setuptools-41.0.1 Successfully installed setuptools-54.1.1 [rtd-command-info] start-time: 2021-03-09T00:48:20.055618Z, end-time: 2021-03-09T00:48:27.903726Z, duration: 7, exit-code: 0 python -m pip install --exists-action=w --no-cache-dir -r docs-requirements.txt Collecting pydata-sphinx-theme>=0.3.1 Downloading pydata_sphinx_theme-0.4.3-py3-none-any.whl (2.1 MB) Collecting Sphinx>=2.0.1 Downloading Sphinx-3.5.2-py3-none-any.whl (2.8 MB) Collecting nbconvert>=5.5.0 Downloading nbconvert-6.0.7-py3-none-any.whl (552 kB) Collecting nbsphinx>=0.4.2 Downloading nbsphinx-0.8.2-py3-none-any.whl (24 kB) Collecting mistune<2,>=0.8.1 Downloading mistune-0.8.4-py2.py3-none-any.whl (16 kB) Collecting traitlets>=4.2 Downloading traitlets-5.0.5-py3-none-any.whl (100 kB) Requirement already satisfied: pygments>=2.4.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from nbconvert>=5.5.0->-r docs-requirements.txt (line 3)) (2.8.1) Collecting nbclient<0.6.0,>=0.5.0 Downloading nbclient-0.5.3-py3-none-any.whl (82 kB) Collecting jupyter-core Downloading jupyter_core-4.7.1-py3-none-any.whl (82 kB) Collecting nbformat>=4.4 Downloading nbformat-5.1.2-py3-none-any.whl (113 kB) Collecting bleach Downloading bleach-3.3.0-py2.py3-none-any.whl (283 kB) Collecting entrypoints>=0.2.2 Downloading entrypoints-0.3-py2.py3-none-any.whl (11 kB) Collecting pandocfilters>=1.4.1 Downloading pandocfilters-1.4.3.tar.gz (16 kB) Collecting testpath Downloading testpath-0.4.4-py2.py3-none-any.whl (163 kB) Collecting defusedxml Downloading defusedxml-0.7.1-py2.py3-none-any.whl (25 kB) Requirement already satisfied: jinja2>=2.4 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from nbconvert>=5.5.0->-r docs-requirements.txt (line 3)) (2.11.3) Collecting jupyterlab-pygments Downloading jupyterlab_pygments-0.1.2-py2.py3-none-any.whl (4.6 kB) Requirement already satisfied: docutils in 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in directory: /tmp/pip-ephem-wheel-cache-u_hzrg_g/wheels/fc/39/52/8d6f3cec1cca4ceb44d658427c35711b19d89dbc4914af657f Building wheel for pyrsistent (setup.py): started Building wheel for pyrsistent (setup.py): finished with status 'done' Created wheel for pyrsistent: filename=pyrsistent-0.17.3-cp38-cp38-linux_x86_64.whl size=119674 sha256=2fa37873b9b1fc15b650fcff4f051163d5d98c2919271e422a63e7b779bafc7b Stored in directory: /tmp/pip-ephem-wheel-cache-u_hzrg_g/wheels/3d/22/08/7042eb6309c650c7b53615d5df5cc61f1ea9680e7edd3a08d2 Successfully built pandocfilters pyrsistent Installing collected packages: ipython-genutils, traitlets, pyrsistent, attrs, tornado, pyzmq, python-dateutil, jupyter-core, jsonschema, webencodings, nest-asyncio, nbformat, jupyter-client, async-generator, testpath, sphinxcontrib-qthelp, sphinxcontrib-jsmath, sphinxcontrib-htmlhelp, sphinxcontrib-devhelp, sphinxcontrib-applehelp, pandocfilters, nbclient, mistune, jupyterlab-pygments, entrypoints, defusedxml, bleach, Sphinx, nbconvert, pydata-sphinx-theme, nbsphinx Attempting uninstall: Sphinx Found existing installation: Sphinx 1.8.5 Uninstalling Sphinx-1.8.5: Successfully uninstalled Sphinx-1.8.5 Successfully installed Sphinx-3.5.2 async-generator-1.10 attrs-20.3.0 bleach-3.3.0 defusedxml-0.7.1 entrypoints-0.3 ipython-genutils-0.2.0 jsonschema-3.2.0 jupyter-client-6.1.11 jupyter-core-4.7.1 jupyterlab-pygments-0.1.2 mistune-0.8.4 nbclient-0.5.3 nbconvert-6.0.7 nbformat-5.1.2 nbsphinx-0.8.2 nest-asyncio-1.5.1 pandocfilters-1.4.3 pydata-sphinx-theme-0.4.3 pyrsistent-0.17.3 python-dateutil-2.8.1 pyzmq-22.0.3 sphinxcontrib-applehelp-1.0.2 sphinxcontrib-devhelp-1.0.2 sphinxcontrib-htmlhelp-1.0.3 sphinxcontrib-jsmath-1.0.1 sphinxcontrib-qthelp-1.0.3 testpath-0.4.4 tornado-6.1 traitlets-5.0.5 webencodings-0.5.1 [rtd-command-info] start-time: 2021-03-09T00:48:28.020492Z, end-time: 2021-03-09T00:49:34.494272Z, duration: 66, exit-code: 0 python -m pip install --upgrade --upgrade-strategy eager 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nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.19.0) (0.4.4) Requirement already satisfied: defusedxml in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.19.0) (0.7.1) Requirement already satisfied: mistune<2,>=0.8.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.19.0) (0.8.4) Requirement already satisfied: pandocfilters>=1.4.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.19.0) (1.4.3) Requirement already satisfied: nest-asyncio in 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bleach->nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.19.0) (20.9) Collecting llvmlite<0.36,>=0.35.0 Downloading llvmlite-0.35.0-cp38-cp38-manylinux2010_x86_64.whl (25.3 MB) Building wheels for collected packages: evalml, nltk, requirements-parser, retrying, shap Building wheel for evalml (setup.py): started Building wheel for evalml (setup.py): finished with status 'done' Created wheel for evalml: filename=evalml-0.19.0-py3-none-any.whl size=6148723 sha256=4d931e25408eea1c70a80b132e665ffa0fab825ad3cf9a5424873c6f5854e05d Stored in directory: /tmp/pip-ephem-wheel-cache-3esbp4u8/wheels/f7/b6/0a/abf98cc6d78484394a1999ad14743701336a0a8216aaa6e6b7 Building wheel for nltk (setup.py): started Building wheel for nltk (setup.py): finished with status 'done' Created wheel for nltk: filename=nltk-3.5-py3-none-any.whl size=1434675 sha256=9a69fd487c589067b1b6f623456a4f9de6f0e5f06da9fffefaa2e2c9696d451c Stored in directory: /tmp/pip-ephem-wheel-cache-3esbp4u8/wheels/ff/d5/7b/f1fb4e1e1603b2f01c2424dd60fbcc50c12ef918bafc44b155 Building wheel for requirements-parser (setup.py): started Building wheel for requirements-parser (setup.py): finished with status 'done' Created wheel for requirements-parser: filename=requirements_parser-0.2.0-py3-none-any.whl size=7655 sha256=859a68673db2a2c44ee1cbc4a326e797953edd872eb0835d389dcbb7e1ba38b8 Stored in directory: /tmp/pip-ephem-wheel-cache-3esbp4u8/wheels/12/d2/88/6e706d3b6874a2948967d0838eb0e0224a8a43b4eb273cf3f3 Building wheel for retrying (setup.py): started Building wheel for retrying (setup.py): finished with status 'done' Created wheel for retrying: filename=retrying-1.3.3-py3-none-any.whl size=11429 sha256=5437cf526c7def5041cf2837e0a47a49b77604242e0f1fa0a59348a11baeb2fd Stored in directory: /tmp/pip-ephem-wheel-cache-3esbp4u8/wheels/c4/a7/48/0a434133f6d56e878ca511c0e6c38326907c0792f67b476e56 Building wheel for shap (setup.py): started Building wheel for shap (setup.py): finished with status 'done' Created wheel for shap: filename=shap-0.39.0-cp38-cp38-linux_x86_64.whl size=498821 sha256=e5dc538165a2ab9c11411b3e984ef1d9ab6c5390cc1affa2aec1cf88fc7e9640 Stored in directory: /tmp/pip-ephem-wheel-cache-3esbp4u8/wheels/3d/c9/06/734ed80d6d61fad331974bf62017b4ea6b33488082b9f5e67e Successfully built evalml nltk requirements-parser retrying shap Installing collected packages: wcwidth, pyzmq, ptyprocess, parso, pycparser, prompt-toolkit, pickleshare, pexpect, jedi, decorator, backcall, toolz, pyyaml, numpy, locket, ipython, heapdict, cffi, zict, terminado, tblib, sortedcontainers, Send2Trash, psutil, prometheus-client, partd, pandas, msgpack, ipykernel, fsspec, dask, cloudpickle, click, argon2-cffi, tqdm, threadpoolctl, scipy, retrying, regex, pillow, patsy, notebook, llvmlite, kiwisolver, joblib, distributed, cycler, widgetsnbextension, statsmodels, slicer, scikit-learn, pyaml, plotly, numba, nltk, matplotlib, jupyterlab-widgets, graphviz, featuretools, xgboost, woodwork, texttable, shap, seaborn, scikit-optimize, requirements-parser, nlp-primitives, networkx, lightgbm, kaleido, ipywidgets, colorama, category-encoders, catboost, evalml Attempting uninstall: pyzmq Found existing installation: pyzmq 22.0.3 Uninstalling pyzmq-22.0.3: Successfully uninstalled pyzmq-22.0.3 Attempting uninstall: pillow Found existing installation: Pillow 5.4.1 Uninstalling Pillow-5.4.1: Successfully uninstalled Pillow-5.4.1 Successfully installed Send2Trash-1.5.0 argon2-cffi-20.1.0 backcall-0.2.0 catboost-0.24.4 category-encoders-2.2.2 cffi-1.14.5 click-7.1.2 cloudpickle-1.6.0 colorama-0.4.4 cycler-0.10.0 dask-2021.3.0 decorator-4.4.2 distributed-2021.3.0 evalml-0.19.0 featuretools-0.23.2 fsspec-0.8.7 graphviz-0.16 heapdict-1.0.1 ipykernel-5.5.0 ipython-7.21.0 ipywidgets-7.6.3 jedi-0.18.0 joblib-1.0.1 jupyterlab-widgets-1.0.0 kaleido-0.2.1 kiwisolver-1.3.1 lightgbm-3.0.0 llvmlite-0.35.0 locket-0.2.1 matplotlib-3.3.4 msgpack-1.0.2 networkx-2.5 nlp-primitives-1.1.0 nltk-3.5 notebook-6.2.0 numba-0.52.0 numpy-1.20.1 pandas-1.1.5 parso-0.8.1 partd-1.1.0 patsy-0.5.1 pexpect-4.8.0 pickleshare-0.7.5 pillow-8.1.2 plotly-4.14.3 prometheus-client-0.9.0 prompt-toolkit-3.0.16 psutil-5.8.0 ptyprocess-0.7.0 pyaml-20.4.0 pycparser-2.20 pyyaml-5.4.1 pyzmq-21.0.2 regex-2020.11.13 requirements-parser-0.2.0 retrying-1.3.3 scikit-learn-0.24.1 scikit-optimize-0.8.1 scipy-1.6.1 seaborn-0.11.1 shap-0.39.0 slicer-0.0.7 sortedcontainers-2.3.0 statsmodels-0.12.2 tblib-1.7.0 terminado-0.9.2 texttable-1.6.3 threadpoolctl-2.1.0 toolz-0.11.1 tqdm-4.59.0 wcwidth-0.2.5 widgetsnbextension-3.5.1 woodwork-0.0.10 xgboost-1.2.1 zict-2.0.0 [rtd-command-info] start-time: 2021-03-09T00:49:36.913367Z, end-time: 2021-03-09T00:49:36.989951Z, duration: 0, exit-code: 0 cat docs/source/conf.py # -*- coding: utf-8 -*- # # Configuration file for the Sphinx documentation builder. # # This file does only contain a selection of the most common options. For a # full list see the documentation: # http://www.sphinx-doc.org/en/master/config # -- Path setup -------------------------------------------------------------- # If extensions (or modules to document with autodoc) are in another directory, # add these directories to sys.path here. If the directory is relative to the # documentation root, use os.path.abspath to make it absolute, like shown here. import evalml import os import sys import subprocess from sphinx.ext.autodoc import (Documenter, MethodDocumenter) from sphinx.ext.autodoc import MethodDocumenter, Documenter path = os.path.join('..', '..') sys.path.insert(0, os.path.abspath(path)) # -- Project information ----------------------------------------------------- project = 'EvalML' copyright = '2020, Alteryx, Inc.' author = 'Alteryx, Inc.' # The short X.Y version version = evalml.__version__ # The full version, including alpha/beta/rc tags release = evalml.__version__ # -- General configuration --------------------------------------------------- # If your documentation needs a minimal Sphinx version, state it here. # # needs_sphinx = '1.0' # Add any Sphinx extension module names here, as strings. They can be # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom # ones. extensions = [ 'nbsphinx', 'sphinx.ext.autodoc', 'sphinx.ext.autosummary', 'sphinx.ext.napoleon', 'sphinx.ext.viewcode', 'sphinx.ext.extlinks', 'sphinx.ext.graphviz', 'sphinx.ext.inheritance_diagram' ] # Add any paths that contain templates here, relative to this directory. templates_path = ['_templates'] # The suffix(es) of source filenames. # You can specify multiple suffix as a list of string: # # source_suffix = ['.rst', '.md'] source_suffix = '.rst' # The main toctree document. master_doc = 'index' # The language for content autogenerated by Sphinx. Refer to documentation # for a list of supported languages. # # This is also used if you do content translation via gettext catalogs. # Usually you set "language" from the command line for these cases. language = None # List of patterns, relative to source directory, that match files and # directories to ignore when looking for source files. # This pattern also affects html_static_path and html_extra_path. exclude_patterns = ['**.ipynb_checkpoints'] # The name of the Pygments (syntax highlighting) style to use. pygments_style = None # -- Options for HTML output ------------------------------------------------- # The theme to use for HTML and HTML Help pages. See the documentation for # a list of builtin themes. # html_theme = "pydata_sphinx_theme" # Theme options are theme-specific and customize the look and feel of a theme # further. For a list of options available for each theme, see the # documentation. # html_theme_options = { "github_url": "https://github.com/alteryx/evalml", "twitter_url": "https://twitter.com/AlteryxOSS", } # The name of an image file (relative to this directory) to place at the top # of the sidebar. html_logo = "images/evalml_horizontal.svg" # The name of an image file (relative to this directory) to use as a favicon of # the docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32 # pixels large. html_favicon = "images/favicon.ico" # Add any paths that contain custom static files (such as style sheets) here, # relative to this directory. They are copied after the builtin static files, # so a file named "default.css" will overwrite the builtin "default.css". html_static_path = ['_static'] # Custom sidebar templates, must be a dictionary that maps document names # to template names. # # The default sidebars (for documents that don't match any pattern) are # defined by theme itself. Builtin themes are using these templates by # default: ``['localtoc.html', 'relations.html', 'sourcelink.html', # 'searchbox.html']``. # # html_sidebars = {} # -- Options for HTMLHelp output --------------------------------------------- # Output file base name for HTML help builder. htmlhelp_basename = 'EvalMLdoc' # -- Options for LaTeX output ------------------------------------------------ latex_elements = { # The paper size ('letterpaper' or 'a4paper'). # # 'papersize': 'letterpaper', # The font size ('10pt', '11pt' or '12pt'). # # 'pointsize': '10pt', # Additional stuff for the LaTeX preamble. # # 'preamble': '', # Latex figure (float) alignment # # 'figure_align': 'htbp', } # Grouping the document tree into LaTeX files. List of tuples # (source start file, target name, title, # author, documentclass [howto, manual, or own class]). latex_documents = [ (master_doc, 'EvalML.tex', 'EvalML Documentation', author, 'manual'), ] # -- Options for manual page output ------------------------------------------ # One entry per manual page. List of tuples # (source start file, name, description, authors, manual section). man_pages = [ (master_doc, 'evalml', 'EvalML Documentation', [author], 1) ] # -- Options for Texinfo output ---------------------------------------------- # Grouping the document tree into Texinfo files. List of tuples # (source start file, target name, title, author, # dir menu entry, description, category) texinfo_documents = [ (master_doc, 'EvalML', 'EvalML Documentation', author, 'EvalML', 'One line description of project.', 'Miscellaneous'), ] # -- Options for Epub output ------------------------------------------------- # Bibliographic Dublin Core info. epub_title = project # The unique identifier of the text. This can be a ISBN number # or the project homepage. # # epub_identifier = '' # A unique identification for the text. # # epub_uid = '' # A list of files that should not be packed into the epub file. epub_exclude_files = ['search.html'] # -- Extension configuration ------------------------------------------------- # If evalml is open-sourced: replace github specific style.css extlinks = { 'issue': ('https://github.com/alteryx/evalml/issues/%s', '#'), 'pr': ('https://github.com/alteryx/evalml/pull/%s', '#'), 'user': ('https://github.com/%s', '@') } #autoclass_content = 'both' autosummary_generate = ["api_reference.rst"] templates_path = ["_templates"] html_show_sphinx = False nbsphinx_execute = 'always' nbsphinx_timeout = 600 # sphinx defaults each cell to 30 seconds so we need to override here inheritance_graph_attrs = dict(rankdir="TB", dpi=192.0, ranksep=0.02) inheritance_node_attrs = dict(fontsize=6, height=0.15, width=5, fixedsize=True) inheritance_edge_attrs = dict(arrowsize=0.1) class AccessorLevelDocumenter(Documenter): """ Documenter subclass for objects on accessor level (methods, attributes). Referenced pandas-sphinx-theme (https://github.com/pandas-dev/pandas-sphinx-theme) and sphinx-doc (https://github.com/sphinx-doc/sphinx/blob/8c7faed6fcbc6b7d40f497698cb80fc10aee1ab3/sphinx/ext/autodoc/__init__.py#L846) """ def resolve_name(self, modname, parents, path, base): modname = 'evalml' mod_cls = path.rstrip('.') mod_cls = mod_cls.split('.') return modname, mod_cls + [base] class AccessorCallableDocumenter(AccessorLevelDocumenter, MethodDocumenter): """ This documenter lets us removes .__call__ from the method signature for callable accessors like Series.plot """ objtype = "accessorcallable" directivetype = "method" # lower than MethodDocumenter; otherwise the doc build prints warnings priority = 0.5 def format_name(self): return MethodDocumenter.format_name(self).rstrip(".__call__") class AccessorMethodDocumenter(AccessorLevelDocumenter, MethodDocumenter): objtype = 'accessormethod' directivetype = 'method' # lower than MethodDocumenter so this is not chosen for normal methods priority = 0.6 def setup(app): app.add_javascript('https://cdnjs.cloudflare.com/ajax/libs/require.js/2.1.10/require.min.js') app.add_stylesheet("style.css") app.add_autodocumenter(AccessorCallableDocumenter) app.add_autodocumenter(AccessorMethodDocumenter) ########################################################################### # auto-created readthedocs.org specific configuration # ########################################################################### # # The following code was added during an automated build on readthedocs.org # It is auto created and injected for every build. The result is based on the # conf.py.tmpl file found in the readthedocs.org codebase: # https://github.com/rtfd/readthedocs.org/blob/master/readthedocs/doc_builder/templates/doc_builder/conf.py.tmpl # # Note: this file should't rely on extra depencies. import importlib import sys import os.path # Borrowed from six. PY3 = sys.version_info[0] == 3 string_types = str if PY3 else basestring from sphinx import version_info # Get suffix for proper linking to GitHub # This is deprecated in Sphinx 1.3+, # as each page can have its own suffix if globals().get('source_suffix', False): if isinstance(source_suffix, string_types): SUFFIX = source_suffix elif isinstance(source_suffix, (list, tuple)): # Sphinx >= 1.3 supports list/tuple to define multiple suffixes SUFFIX = source_suffix[0] elif isinstance(source_suffix, dict): # Sphinx >= 1.8 supports a mapping dictionary for multiple suffixes SUFFIX = list(source_suffix.keys())[0] # make a ``list()`` for py2/py3 compatibility else: # default to .rst SUFFIX = '.rst' else: SUFFIX = '.rst' # Add RTD Static Path. Add to the end because it overwrites previous files. if not 'html_static_path' in globals(): html_static_path = [] if os.path.exists('_static'): html_static_path.append('_static') # Add RTD Theme only if they aren't overriding it already using_rtd_theme = ( ( 'html_theme' in globals() and html_theme in ['default'] and # Allow people to bail with a hack of having an html_style 'html_style' not in globals() ) or 'html_theme' not in globals() ) if using_rtd_theme: theme = importlib.import_module('sphinx_rtd_theme') html_theme = 'sphinx_rtd_theme' html_style = None html_theme_options = {} if 'html_theme_path' in globals(): html_theme_path.append(theme.get_html_theme_path()) else: html_theme_path = [theme.get_html_theme_path()] if globals().get('websupport2_base_url', False): websupport2_base_url = 'https://readthedocs.com/websupport' websupport2_static_url = 'https://assets.readthedocs.com/' #Add project information to the template context. context = { 'using_theme': using_rtd_theme, 'html_theme': html_theme, 'current_version': "main", 'version_slug': "main", 'MEDIA_URL': "https://media.readthedocs.com/media/", 'STATIC_URL': "https://assets.readthedocs.com/", 'PRODUCTION_DOMAIN': "readthedocs.com", 'versions': [ ("latest", "/en/latest/"), ("stable", "/en/stable/"), ("v0.19.0", "/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/"), ("gs_add_theme_options", "/en/gs_add_theme_options/"), ("1722_open_graph_info", "/en/1722_open_graph_info/"), ], 'downloads': [ ("pdf", "//evalml.alteryx.com/_/downloads/en/main/pdf/"), ], 'subprojects': [ ], 'slug': 'feature-labs-inc-evalml', 'name': u'EvalML', 'rtd_language': u'en', 'programming_language': u'words', 'canonical_url': 'https://evalml.alteryx.com/en/stable/', 'analytics_code': 'UA-64679566-12', 'single_version': False, 'conf_py_path': '/docs/source/', 'api_host': 'https://readthedocs.com', 'github_user': 'alteryx', 'proxied_api_host': '/_', 'github_repo': 'evalml', 'github_version': 'main', 'display_github': True, 'bitbucket_user': 'None', 'bitbucket_repo': 'None', 'bitbucket_version': 'main', 'display_bitbucket': False, 'gitlab_user': 'None', 'gitlab_repo': 'None', 'gitlab_version': 'main', 'display_gitlab': False, 'READTHEDOCS': True, 'using_theme': (html_theme == "default"), 'new_theme': (html_theme == "sphinx_rtd_theme"), 'source_suffix': SUFFIX, 'ad_free': False, 'docsearch_disabled': False, 'user_analytics_code': 'UA-64679566-12', 'global_analytics_code': 'UA-17997319-2', 'commit': '30a82955', } # 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/583845/' project_language = 'en' # User's Sphinx configurations language_user = globals().get('language', None) latex_engine_user = globals().get('latex_engine', None) latex_elements_user = globals().get('latex_elements', None) # Remove this once xindy gets installed in Docker image and XINDYOPS # env variable is supported # https://github.com/rtfd/readthedocs-docker-images/pull/98 latex_use_xindy = False chinese = any([ language_user in ('zh_CN', 'zh_TW'), project_language in ('zh_CN', 'zh_TW'), ]) japanese = any([ language_user == 'ja', project_language == 'ja', ]) if chinese: latex_engine = latex_engine_user or 'xelatex' latex_elements_rtd = { 'preamble': '\\usepackage[UTF8]{ctex}\n', } latex_elements = latex_elements_user or latex_elements_rtd elif japanese: latex_engine = latex_engine_user or 'platex' # Make sure our build directory is always excluded exclude_patterns = globals().get('exclude_patterns', []) exclude_patterns.extend(['_build']) [rtd-command-info] start-time: 2021-03-09T00:49:37.111510Z, end-time: 2021-03-09T00:59:44.130202Z, duration: 607, exit-code: 0 python -m sphinx -T -E -W --keep-going -b readthedocs -d _build/doctrees-readthedocs -D language=en . _build/html Running Sphinx v3.5.2 loading translations [en]... done making output directory... done [autosummary] generating autosummary for: api_reference.rst [autosummary] generating autosummary for: /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.automl.AutoMLSearch.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.automl.automl_algorithm.AutoMLAlgorithm.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.automl.automl_algorithm.IterativeAlgorithm.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.automl.callbacks.log_and_save_error_callback.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.automl.callbacks.log_error_callback.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.automl.callbacks.raise_and_save_error_callback.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.automl.callbacks.raise_error_callback.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.automl.callbacks.silent_error_callback.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.automl.get_default_primary_search_objective.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.automl.make_data_splitter.rst, ..., /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.utils.convert_to_seconds.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.utils.drop_rows_with_nans.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.utils.get_importable_subclasses.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.utils.get_random_seed.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.utils.get_random_state.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.utils.import_or_raise.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.utils.infer_feature_types.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.utils.is_all_numeric.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.utils.pad_with_nans.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.utils.save_plot.rst [autosummary] generating autosummary for: /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.automl.AutoMLSearch.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.automl.AutoMLSearch.add_to_rankings.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.automl.AutoMLSearch.describe_pipeline.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.automl.AutoMLSearch.get_pipeline.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.automl.AutoMLSearch.load.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.automl.AutoMLSearch.save.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.automl.AutoMLSearch.score_pipelines.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.automl.AutoMLSearch.search.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.automl.AutoMLSearch.train_pipelines.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.__init__.rst, ..., /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.tuners.RandomSearchTuner.is_search_space_exhausted.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.tuners.RandomSearchTuner.propose.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.tuners.SKOptTuner.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.tuners.SKOptTuner.add.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.tuners.SKOptTuner.is_search_space_exhausted.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.tuners.SKOptTuner.propose.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.tuners.Tuner.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.tuners.Tuner.add.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.tuners.Tuner.is_search_space_exhausted.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.tuners.Tuner.propose.rst building [mo]: targets for 0 po files that are out of date building [readthedocs]: targets for 19 source files that are out of date updating environment: [new config] 1127 added, 0 changed, 0 removed reading sources... [ 0%] api_reference reading sources... [ 0%] demos/cost_benefit_matrix /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/joblib/externals/loky/backend/resource_tracker.py:303: UserWarning: resource_tracker: /tmp/joblib_memmapping_folder_458_97ec7b9b16654335a6fbc3016698a07b_8b8fea7a2bf64492bc2973be7e2cc23b/458-140602000763296-85b78c01315046199aa122fb4ec01b2d.pkl: FileNotFoundError(2, 'No such file or directory') warnings.warn( /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/joblib/externals/loky/backend/resource_tracker.py:303: UserWarning: resource_tracker: /tmp/joblib_memmapping_folder_458_97ec7b9b16654335a6fbc3016698a07b_fe0199195a284dbd8a634d4865ab07d9/458-140602000763296-6912c29e7c5940b6a89eaedcbb602f36.pkl: FileNotFoundError(2, 'No such file or directory') warnings.warn( /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/joblib/externals/loky/backend/resource_tracker.py:303: UserWarning: resource_tracker: /tmp/joblib_memmapping_folder_458_97ec7b9b16654335a6fbc3016698a07b_24468db3c5d24ec1b33ec4dfa42ca372/458-140602000763296-c2ba0b3d76ab4a7abce44d1be04ba413.pkl: FileNotFoundError(2, 'No such file or directory') warnings.warn( /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/joblib/externals/loky/backend/resource_tracker.py:303: UserWarning: resource_tracker: /tmp/joblib_memmapping_folder_458_97ec7b9b16654335a6fbc3016698a07b_ab3e73d52f0148a6a187b7b92e06c348/458-140602000763296-73afacc6575c48aa90028d717528015c.pkl: FileNotFoundError(2, 'No such file or directory') warnings.warn( /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/joblib/externals/loky/backend/resource_tracker.py:303: UserWarning: resource_tracker: /tmp/joblib_memmapping_folder_458_97ec7b9b16654335a6fbc3016698a07b_f984e1a706cb4d909a71222dc942ecbb/458-140602000763296-615d69e19f724f26acac1eebbdcd10f4.pkl: FileNotFoundError(2, 'No such file or directory') warnings.warn( /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.8/site-packages/joblib/externals/loky/backend/resource_tracker.py:303: UserWarning: resource_tracker: /tmp/joblib_memmapping_folder_458_97ec7b9b16654335a6fbc3016698a07b_6b0267ed18154a0cbd3785a4a7d5013c/458-140602000763296-25225f196f9f46e8ba2b27e27f49187b.pkl: FileNotFoundError(2, 'No such file or directory') warnings.warn( reading sources... 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[rtd-command-info] start-time: 2021-03-09T00:59:44.741890Z, end-time: 2021-03-09T01:07:43.486026Z, duration: 478, exit-code: 0 python -m sphinx -b latex -D language=en -d _build/doctrees . _build/latex Running Sphinx v3.5.2 loading translations [en]... done making output directory... done [autosummary] generating autosummary for: api_reference.rst building [mo]: targets for 0 po files that are out of date building [latex]: all documents updating environment: [new config] 1127 added, 0 changed, 0 removed reading sources... [ 0%] api_reference reading sources... 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[100%] user_guide/utilities 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/objectives user_guide/components user_guide/pipelines user_guide/model_understanding user_guide/data_checks user_guide/utilities user_guide/faq api_reference generated/evalml.demos.load_fraud generated/evalml.demos.load_wine generated/evalml.demos.load_breast_cancer generated/evalml.demos.load_diabetes generated/evalml.demos.load_churn generated/evalml.preprocessing.load_data generated/evalml.preprocessing.drop_nan_target_rows generated/evalml.preprocessing.target_distribution generated/evalml.preprocessing.number_of_features generated/evalml.preprocessing.split_data generated/evalml.exceptions.MethodPropertyNotFoundError generated/evalml.exceptions.PipelineNotFoundError generated/evalml.exceptions.ObjectiveNotFoundError generated/evalml.exceptions.IllFormattedClassNameError generated/evalml.exceptions.MissingComponentError generated/evalml.exceptions.ComponentNotYetFittedError generated/evalml.exceptions.PipelineNotYetFittedError generated/evalml.exceptions.AutoMLSearchException generated/evalml.exceptions.EnsembleMissingPipelinesError generated/evalml.exceptions.PipelineScoreError generated/evalml.exceptions.DataCheckInitError generated/evalml.exceptions.NullsInColumnWarning generated/evalml.automl.AutoMLSearch generated/methods/evalml.automl.AutoMLSearch.__init__ generated/methods/evalml.automl.AutoMLSearch.add_to_rankings generated/methods/evalml.automl.AutoMLSearch.describe_pipeline generated/methods/evalml.automl.AutoMLSearch.get_pipeline generated/methods/evalml.automl.AutoMLSearch.load generated/methods/evalml.automl.AutoMLSearch.save generated/methods/evalml.automl.AutoMLSearch.score_pipelines generated/methods/evalml.automl.AutoMLSearch.search generated/methods/evalml.automl.AutoMLSearch.train_pipelines generated/evalml.automl.get_default_primary_search_objective generated/evalml.automl.make_data_splitter generated/evalml.automl.automl_algorithm.AutoMLAlgorithm generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.__init__ generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.add_result generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.next_batch generated/evalml.automl.automl_algorithm.IterativeAlgorithm generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.__init__ generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.add_result generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.next_batch generated/evalml.automl.callbacks.silent_error_callback generated/evalml.automl.callbacks.log_error_callback generated/evalml.automl.callbacks.raise_error_callback generated/evalml.automl.callbacks.log_and_save_error_callback generated/evalml.automl.callbacks.raise_and_save_error_callback generated/evalml.pipelines.PipelineBase generated/methods/evalml.pipelines.PipelineBase.__init__ generated/methods/evalml.pipelines.PipelineBase.can_tune_threshold_with_objective generated/methods/evalml.pipelines.PipelineBase.clone generated/methods/evalml.pipelines.PipelineBase.compute_estimator_features generated/methods/evalml.pipelines.PipelineBase.create_objectives generated/methods/evalml.pipelines.PipelineBase.describe generated/methods/evalml.pipelines.PipelineBase.fit generated/methods/evalml.pipelines.PipelineBase.get_component generated/methods/evalml.pipelines.PipelineBase.graph generated/methods/evalml.pipelines.PipelineBase.graph_feature_importance generated/methods/evalml.pipelines.PipelineBase.load generated/methods/evalml.pipelines.PipelineBase.predict generated/methods/evalml.pipelines.PipelineBase.save generated/methods/evalml.pipelines.PipelineBase.score generated/evalml.pipelines.ClassificationPipeline generated/methods/evalml.pipelines.ClassificationPipeline.__init__ generated/methods/evalml.pipelines.ClassificationPipeline.can_tune_threshold_with_objective generated/methods/evalml.pipelines.ClassificationPipeline.clone generated/methods/evalml.pipelines.ClassificationPipeline.compute_estimator_features generated/methods/evalml.pipelines.ClassificationPipeline.create_objectives generated/methods/evalml.pipelines.ClassificationPipeline.describe generated/methods/evalml.pipelines.ClassificationPipeline.fit generated/methods/evalml.pipelines.ClassificationPipeline.get_component generated/methods/evalml.pipelines.ClassificationPipeline.graph generated/methods/evalml.pipelines.ClassificationPipeline.graph_feature_importance generated/methods/evalml.pipelines.ClassificationPipeline.load generated/methods/evalml.pipelines.ClassificationPipeline.predict generated/methods/evalml.pipelines.ClassificationPipeline.predict_proba generated/methods/evalml.pipelines.ClassificationPipeline.save generated/methods/evalml.pipelines.ClassificationPipeline.score generated/evalml.pipelines.BinaryClassificationPipeline generated/methods/evalml.pipelines.BinaryClassificationPipeline.__init__ generated/methods/evalml.pipelines.BinaryClassificationPipeline.can_tune_threshold_with_objective generated/methods/evalml.pipelines.BinaryClassificationPipeline.clone generated/methods/evalml.pipelines.BinaryClassificationPipeline.compute_estimator_features generated/methods/evalml.pipelines.BinaryClassificationPipeline.create_objectives generated/methods/evalml.pipelines.BinaryClassificationPipeline.describe generated/methods/evalml.pipelines.BinaryClassificationPipeline.fit generated/methods/evalml.pipelines.BinaryClassificationPipeline.get_component generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph_feature_importance generated/methods/evalml.pipelines.BinaryClassificationPipeline.load generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict_proba generated/methods/evalml.pipelines.BinaryClassificationPipeline.save generated/methods/evalml.pipelines.BinaryClassificationPipeline.score generated/evalml.pipelines.MulticlassClassificationPipeline generated/methods/evalml.pipelines.MulticlassClassificationPipeline.__init__ generated/methods/evalml.pipelines.MulticlassClassificationPipeline.can_tune_threshold_with_objective generated/methods/evalml.pipelines.MulticlassClassificationPipeline.clone generated/methods/evalml.pipelines.MulticlassClassificationPipeline.compute_estimator_features generated/methods/evalml.pipelines.MulticlassClassificationPipeline.create_objectives generated/methods/evalml.pipelines.MulticlassClassificationPipeline.describe generated/methods/evalml.pipelines.MulticlassClassificationPipeline.fit generated/methods/evalml.pipelines.MulticlassClassificationPipeline.get_component generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph_feature_importance generated/methods/evalml.pipelines.MulticlassClassificationPipeline.load generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict_proba generated/methods/evalml.pipelines.MulticlassClassificationPipeline.save generated/methods/evalml.pipelines.MulticlassClassificationPipeline.score generated/evalml.pipelines.RegressionPipeline generated/methods/evalml.pipelines.RegressionPipeline.__init__ generated/methods/evalml.pipelines.RegressionPipeline.can_tune_threshold_with_objective generated/methods/evalml.pipelines.RegressionPipeline.clone generated/methods/evalml.pipelines.RegressionPipeline.compute_estimator_features generated/methods/evalml.pipelines.RegressionPipeline.create_objectives generated/methods/evalml.pipelines.RegressionPipeline.describe generated/methods/evalml.pipelines.RegressionPipeline.fit generated/methods/evalml.pipelines.RegressionPipeline.get_component generated/methods/evalml.pipelines.RegressionPipeline.graph generated/methods/evalml.pipelines.RegressionPipeline.graph_feature_importance generated/methods/evalml.pipelines.RegressionPipeline.load generated/methods/evalml.pipelines.RegressionPipeline.predict generated/methods/evalml.pipelines.RegressionPipeline.save generated/methods/evalml.pipelines.RegressionPipeline.score generated/evalml.pipelines.TimeSeriesClassificationPipeline generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.__init__ generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.can_tune_threshold_with_objective generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.clone generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.compute_estimator_features generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.create_objectives generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.describe generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.fit generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.get_component generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.graph generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.graph_feature_importance generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.load generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.predict generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.predict_proba generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.save generated/methods/evalml.pipelines.TimeSeriesClassificationPipeline.score generated/evalml.pipelines.TimeSeriesBinaryClassificationPipeline generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.__init__ generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.can_tune_threshold_with_objective generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.clone generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.compute_estimator_features generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.create_objectives generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.describe generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.fit generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.get_component generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.graph generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.graph_feature_importance generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.load generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.predict generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.predict_proba generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.save generated/methods/evalml.pipelines.TimeSeriesBinaryClassificationPipeline.score generated/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.__init__ generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.can_tune_threshold_with_objective generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.clone generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.compute_estimator_features generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.create_objectives generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.describe generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.fit generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.get_component generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.graph generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.graph_feature_importance generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.load generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.predict generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.predict_proba generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.save generated/methods/evalml.pipelines.TimeSeriesMulticlassClassificationPipeline.score generated/evalml.pipelines.TimeSeriesRegressionPipeline generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.__init__ generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.can_tune_threshold_with_objective generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.clone generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.compute_estimator_features generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.create_objectives generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.describe generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.fit generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.get_component generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.graph generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.graph_feature_importance generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.load generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.predict generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.save generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.score generated/evalml.pipelines.BaselineBinaryPipeline generated/methods/evalml.pipelines.BaselineBinaryPipeline.__init__ generated/methods/evalml.pipelines.BaselineBinaryPipeline.can_tune_threshold_with_objective generated/methods/evalml.pipelines.BaselineBinaryPipeline.clone generated/methods/evalml.pipelines.BaselineBinaryPipeline.compute_estimator_features generated/methods/evalml.pipelines.BaselineBinaryPipeline.create_objectives generated/methods/evalml.pipelines.BaselineBinaryPipeline.describe generated/methods/evalml.pipelines.BaselineBinaryPipeline.fit generated/methods/evalml.pipelines.BaselineBinaryPipeline.get_component generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph_feature_importance generated/methods/evalml.pipelines.BaselineBinaryPipeline.load generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict_proba generated/methods/evalml.pipelines.BaselineBinaryPipeline.save generated/methods/evalml.pipelines.BaselineBinaryPipeline.score generated/evalml.pipelines.BaselineMulticlassPipeline generated/methods/evalml.pipelines.BaselineMulticlassPipeline.__init__ generated/methods/evalml.pipelines.BaselineMulticlassPipeline.can_tune_threshold_with_objective generated/methods/evalml.pipelines.BaselineMulticlassPipeline.clone generated/methods/evalml.pipelines.BaselineMulticlassPipeline.compute_estimator_features generated/methods/evalml.pipelines.BaselineMulticlassPipeline.create_objectives generated/methods/evalml.pipelines.BaselineMulticlassPipeline.describe generated/methods/evalml.pipelines.BaselineMulticlassPipeline.fit generated/methods/evalml.pipelines.BaselineMulticlassPipeline.get_component generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph_feature_importance generated/methods/evalml.pipelines.BaselineMulticlassPipeline.load generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict_proba generated/methods/evalml.pipelines.BaselineMulticlassPipeline.save generated/methods/evalml.pipelines.BaselineMulticlassPipeline.score generated/evalml.pipelines.ModeBaselineBinaryPipeline generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.__init__ generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.can_tune_threshold_with_objective generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.clone generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.compute_estimator_features generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.create_objectives generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.describe generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.fit generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.get_component generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph_feature_importance generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.load generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict_proba generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.save generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.score generated/evalml.pipelines.ModeBaselineMulticlassPipeline generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.__init__ generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.can_tune_threshold_with_objective generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.clone generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.compute_estimator_features generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.create_objectives generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.describe generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.fit generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.get_component generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph_feature_importance generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.load generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict_proba generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.save generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.score generated/evalml.pipelines.BaselineRegressionPipeline generated/methods/evalml.pipelines.BaselineRegressionPipeline.__init__ generated/methods/evalml.pipelines.BaselineRegressionPipeline.can_tune_threshold_with_objective generated/methods/evalml.pipelines.BaselineRegressionPipeline.clone generated/methods/evalml.pipelines.BaselineRegressionPipeline.compute_estimator_features generated/methods/evalml.pipelines.BaselineRegressionPipeline.create_objectives generated/methods/evalml.pipelines.BaselineRegressionPipeline.describe generated/methods/evalml.pipelines.BaselineRegressionPipeline.fit generated/methods/evalml.pipelines.BaselineRegressionPipeline.get_component generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph_feature_importance generated/methods/evalml.pipelines.BaselineRegressionPipeline.load generated/methods/evalml.pipelines.BaselineRegressionPipeline.predict generated/methods/evalml.pipelines.BaselineRegressionPipeline.save generated/methods/evalml.pipelines.BaselineRegressionPipeline.score generated/evalml.pipelines.MeanBaselineRegressionPipeline generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.__init__ generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.can_tune_threshold_with_objective generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.clone generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.compute_estimator_features generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.create_objectives generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.describe generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.fit generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.get_component generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph_feature_importance generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.load generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.predict generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.save generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.score generated/evalml.pipelines.TimeSeriesBaselineRegressionPipeline generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.__init__ generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.can_tune_threshold_with_objective generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.clone generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.compute_estimator_features generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.create_objectives generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.describe generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.fit generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.get_component generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.graph generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.graph_feature_importance generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.load generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.predict generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.save generated/methods/evalml.pipelines.TimeSeriesBaselineRegressionPipeline.score generated/evalml.pipelines.utils.make_pipeline generated/evalml.pipelines.utils.make_pipeline_from_components generated/evalml.pipelines.utils.generate_pipeline_code generated/evalml.pipelines.components.ComponentBase generated/methods/evalml.pipelines.components.ComponentBase.__init__ generated/methods/evalml.pipelines.components.ComponentBase.clone generated/methods/evalml.pipelines.components.ComponentBase.describe generated/methods/evalml.pipelines.components.ComponentBase.fit generated/methods/evalml.pipelines.components.ComponentBase.load generated/methods/evalml.pipelines.components.ComponentBase.save generated/evalml.pipelines.components.Transformer generated/methods/evalml.pipelines.components.Transformer.__init__ generated/methods/evalml.pipelines.components.Transformer.clone generated/methods/evalml.pipelines.components.Transformer.describe generated/methods/evalml.pipelines.components.Transformer.fit generated/methods/evalml.pipelines.components.Transformer.fit_transform generated/methods/evalml.pipelines.components.Transformer.load generated/methods/evalml.pipelines.components.Transformer.save generated/methods/evalml.pipelines.components.Transformer.transform generated/evalml.pipelines.components.Estimator generated/methods/evalml.pipelines.components.Estimator.__init__ generated/methods/evalml.pipelines.components.Estimator.clone generated/methods/evalml.pipelines.components.Estimator.describe generated/methods/evalml.pipelines.components.Estimator.fit generated/methods/evalml.pipelines.components.Estimator.load generated/methods/evalml.pipelines.components.Estimator.predict generated/methods/evalml.pipelines.components.Estimator.predict_proba generated/methods/evalml.pipelines.components.Estimator.save generated/evalml.pipelines.components.utils.allowed_model_families generated/evalml.pipelines.components.utils.get_estimators generated/evalml.pipelines.components.utils.generate_component_code generated/evalml.pipelines.components.DropColumns generated/methods/evalml.pipelines.components.DropColumns.__init__ generated/methods/evalml.pipelines.components.DropColumns.clone generated/methods/evalml.pipelines.components.DropColumns.describe generated/methods/evalml.pipelines.components.DropColumns.fit generated/methods/evalml.pipelines.components.DropColumns.fit_transform generated/methods/evalml.pipelines.components.DropColumns.load generated/methods/evalml.pipelines.components.DropColumns.save generated/methods/evalml.pipelines.components.DropColumns.transform generated/evalml.pipelines.components.SelectColumns generated/methods/evalml.pipelines.components.SelectColumns.__init__ generated/methods/evalml.pipelines.components.SelectColumns.clone generated/methods/evalml.pipelines.components.SelectColumns.describe generated/methods/evalml.pipelines.components.SelectColumns.fit generated/methods/evalml.pipelines.components.SelectColumns.fit_transform generated/methods/evalml.pipelines.components.SelectColumns.load generated/methods/evalml.pipelines.components.SelectColumns.save generated/methods/evalml.pipelines.components.SelectColumns.transform generated/evalml.pipelines.components.OneHotEncoder generated/methods/evalml.pipelines.components.OneHotEncoder.__init__ generated/methods/evalml.pipelines.components.OneHotEncoder.categories generated/methods/evalml.pipelines.components.OneHotEncoder.clone generated/methods/evalml.pipelines.components.OneHotEncoder.describe generated/methods/evalml.pipelines.components.OneHotEncoder.fit generated/methods/evalml.pipelines.components.OneHotEncoder.fit_transform generated/methods/evalml.pipelines.components.OneHotEncoder.get_feature_names generated/methods/evalml.pipelines.components.OneHotEncoder.load generated/methods/evalml.pipelines.components.OneHotEncoder.save generated/methods/evalml.pipelines.components.OneHotEncoder.transform generated/evalml.pipelines.components.TargetEncoder generated/methods/evalml.pipelines.components.TargetEncoder.__init__ generated/methods/evalml.pipelines.components.TargetEncoder.clone generated/methods/evalml.pipelines.components.TargetEncoder.describe generated/methods/evalml.pipelines.components.TargetEncoder.fit generated/methods/evalml.pipelines.components.TargetEncoder.fit_transform generated/methods/evalml.pipelines.components.TargetEncoder.get_feature_names generated/methods/evalml.pipelines.components.TargetEncoder.load generated/methods/evalml.pipelines.components.TargetEncoder.save generated/methods/evalml.pipelines.components.TargetEncoder.transform generated/evalml.pipelines.components.PerColumnImputer generated/methods/evalml.pipelines.components.PerColumnImputer.__init__ generated/methods/evalml.pipelines.components.PerColumnImputer.clone generated/methods/evalml.pipelines.components.PerColumnImputer.describe generated/methods/evalml.pipelines.components.PerColumnImputer.fit generated/methods/evalml.pipelines.components.PerColumnImputer.fit_transform generated/methods/evalml.pipelines.components.PerColumnImputer.load generated/methods/evalml.pipelines.components.PerColumnImputer.save generated/methods/evalml.pipelines.components.PerColumnImputer.transform generated/evalml.pipelines.components.Imputer generated/methods/evalml.pipelines.components.Imputer.__init__ generated/methods/evalml.pipelines.components.Imputer.clone generated/methods/evalml.pipelines.components.Imputer.describe generated/methods/evalml.pipelines.components.Imputer.fit generated/methods/evalml.pipelines.components.Imputer.fit_transform generated/methods/evalml.pipelines.components.Imputer.load generated/methods/evalml.pipelines.components.Imputer.save generated/methods/evalml.pipelines.components.Imputer.transform generated/evalml.pipelines.components.SimpleImputer generated/methods/evalml.pipelines.components.SimpleImputer.__init__ generated/methods/evalml.pipelines.components.SimpleImputer.clone generated/methods/evalml.pipelines.components.SimpleImputer.describe generated/methods/evalml.pipelines.components.SimpleImputer.fit generated/methods/evalml.pipelines.components.SimpleImputer.fit_transform generated/methods/evalml.pipelines.components.SimpleImputer.load generated/methods/evalml.pipelines.components.SimpleImputer.save generated/methods/evalml.pipelines.components.SimpleImputer.transform generated/evalml.pipelines.components.StandardScaler generated/methods/evalml.pipelines.components.StandardScaler.__init__ generated/methods/evalml.pipelines.components.StandardScaler.clone generated/methods/evalml.pipelines.components.StandardScaler.describe generated/methods/evalml.pipelines.components.StandardScaler.fit generated/methods/evalml.pipelines.components.StandardScaler.fit_transform generated/methods/evalml.pipelines.components.StandardScaler.load generated/methods/evalml.pipelines.components.StandardScaler.save generated/methods/evalml.pipelines.components.StandardScaler.transform generated/evalml.pipelines.components.RFRegressorSelectFromModel generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.__init__ generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.clone generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.describe generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit_transform generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.get_names generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.load generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.save generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.transform generated/evalml.pipelines.components.RFClassifierSelectFromModel generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.__init__ generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.clone generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.describe generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit_transform generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.get_names generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.load generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.save generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.transform generated/evalml.pipelines.components.DropNullColumns generated/methods/evalml.pipelines.components.DropNullColumns.__init__ generated/methods/evalml.pipelines.components.DropNullColumns.clone generated/methods/evalml.pipelines.components.DropNullColumns.describe generated/methods/evalml.pipelines.components.DropNullColumns.fit generated/methods/evalml.pipelines.components.DropNullColumns.fit_transform generated/methods/evalml.pipelines.components.DropNullColumns.load generated/methods/evalml.pipelines.components.DropNullColumns.save generated/methods/evalml.pipelines.components.DropNullColumns.transform generated/evalml.pipelines.components.DateTimeFeaturizer generated/methods/evalml.pipelines.components.DateTimeFeaturizer.__init__ generated/methods/evalml.pipelines.components.DateTimeFeaturizer.clone generated/methods/evalml.pipelines.components.DateTimeFeaturizer.describe generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit_transform generated/methods/evalml.pipelines.components.DateTimeFeaturizer.get_feature_names generated/methods/evalml.pipelines.components.DateTimeFeaturizer.load generated/methods/evalml.pipelines.components.DateTimeFeaturizer.save generated/methods/evalml.pipelines.components.DateTimeFeaturizer.transform generated/evalml.pipelines.components.TextFeaturizer 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generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.fit_transform generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.load generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.save generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.transform generated/evalml.pipelines.components.DFSTransformer generated/methods/evalml.pipelines.components.DFSTransformer.__init__ generated/methods/evalml.pipelines.components.DFSTransformer.clone generated/methods/evalml.pipelines.components.DFSTransformer.describe generated/methods/evalml.pipelines.components.DFSTransformer.fit generated/methods/evalml.pipelines.components.DFSTransformer.fit_transform generated/methods/evalml.pipelines.components.DFSTransformer.load generated/methods/evalml.pipelines.components.DFSTransformer.save generated/methods/evalml.pipelines.components.DFSTransformer.transform generated/evalml.pipelines.components.CatBoostClassifier generated/methods/evalml.pipelines.components.CatBoostClassifier.__init__ generated/methods/evalml.pipelines.components.CatBoostClassifier.clone generated/methods/evalml.pipelines.components.CatBoostClassifier.describe generated/methods/evalml.pipelines.components.CatBoostClassifier.fit generated/methods/evalml.pipelines.components.CatBoostClassifier.load generated/methods/evalml.pipelines.components.CatBoostClassifier.predict generated/methods/evalml.pipelines.components.CatBoostClassifier.predict_proba generated/methods/evalml.pipelines.components.CatBoostClassifier.save generated/evalml.pipelines.components.ElasticNetClassifier generated/methods/evalml.pipelines.components.ElasticNetClassifier.__init__ generated/methods/evalml.pipelines.components.ElasticNetClassifier.clone generated/methods/evalml.pipelines.components.ElasticNetClassifier.describe generated/methods/evalml.pipelines.components.ElasticNetClassifier.fit generated/methods/evalml.pipelines.components.ElasticNetClassifier.load generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict_proba generated/methods/evalml.pipelines.components.ElasticNetClassifier.save generated/evalml.pipelines.components.ExtraTreesClassifier generated/methods/evalml.pipelines.components.ExtraTreesClassifier.__init__ generated/methods/evalml.pipelines.components.ExtraTreesClassifier.clone generated/methods/evalml.pipelines.components.ExtraTreesClassifier.describe generated/methods/evalml.pipelines.components.ExtraTreesClassifier.fit generated/methods/evalml.pipelines.components.ExtraTreesClassifier.load generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict_proba generated/methods/evalml.pipelines.components.ExtraTreesClassifier.save generated/evalml.pipelines.components.RandomForestClassifier generated/methods/evalml.pipelines.components.RandomForestClassifier.__init__ generated/methods/evalml.pipelines.components.RandomForestClassifier.clone generated/methods/evalml.pipelines.components.RandomForestClassifier.describe generated/methods/evalml.pipelines.components.RandomForestClassifier.fit generated/methods/evalml.pipelines.components.RandomForestClassifier.load generated/methods/evalml.pipelines.components.RandomForestClassifier.predict generated/methods/evalml.pipelines.components.RandomForestClassifier.predict_proba generated/methods/evalml.pipelines.components.RandomForestClassifier.save generated/evalml.pipelines.components.LightGBMClassifier generated/methods/evalml.pipelines.components.LightGBMClassifier.__init__ generated/methods/evalml.pipelines.components.LightGBMClassifier.clone generated/methods/evalml.pipelines.components.LightGBMClassifier.describe generated/methods/evalml.pipelines.components.LightGBMClassifier.fit generated/methods/evalml.pipelines.components.LightGBMClassifier.load generated/methods/evalml.pipelines.components.LightGBMClassifier.predict generated/methods/evalml.pipelines.components.LightGBMClassifier.predict_proba generated/methods/evalml.pipelines.components.LightGBMClassifier.save generated/evalml.pipelines.components.LogisticRegressionClassifier generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.__init__ generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.clone generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.describe generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.fit generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.load generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict_proba generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.save generated/evalml.pipelines.components.XGBoostClassifier generated/methods/evalml.pipelines.components.XGBoostClassifier.__init__ generated/methods/evalml.pipelines.components.XGBoostClassifier.clone generated/methods/evalml.pipelines.components.XGBoostClassifier.describe generated/methods/evalml.pipelines.components.XGBoostClassifier.fit generated/methods/evalml.pipelines.components.XGBoostClassifier.load generated/methods/evalml.pipelines.components.XGBoostClassifier.predict generated/methods/evalml.pipelines.components.XGBoostClassifier.predict_proba generated/methods/evalml.pipelines.components.XGBoostClassifier.save generated/evalml.pipelines.components.BaselineClassifier generated/methods/evalml.pipelines.components.BaselineClassifier.__init__ generated/methods/evalml.pipelines.components.BaselineClassifier.clone generated/methods/evalml.pipelines.components.BaselineClassifier.describe generated/methods/evalml.pipelines.components.BaselineClassifier.fit generated/methods/evalml.pipelines.components.BaselineClassifier.load generated/methods/evalml.pipelines.components.BaselineClassifier.predict generated/methods/evalml.pipelines.components.BaselineClassifier.predict_proba generated/methods/evalml.pipelines.components.BaselineClassifier.save generated/evalml.pipelines.components.StackedEnsembleClassifier generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.__init__ generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.clone generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.describe generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.fit generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.load generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.predict generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.predict_proba generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.save generated/evalml.pipelines.components.DecisionTreeClassifier generated/methods/evalml.pipelines.components.DecisionTreeClassifier.__init__ generated/methods/evalml.pipelines.components.DecisionTreeClassifier.clone generated/methods/evalml.pipelines.components.DecisionTreeClassifier.describe generated/methods/evalml.pipelines.components.DecisionTreeClassifier.fit generated/methods/evalml.pipelines.components.DecisionTreeClassifier.load generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict_proba generated/methods/evalml.pipelines.components.DecisionTreeClassifier.save generated/evalml.pipelines.components.KNeighborsClassifier generated/methods/evalml.pipelines.components.KNeighborsClassifier.__init__ generated/methods/evalml.pipelines.components.KNeighborsClassifier.clone generated/methods/evalml.pipelines.components.KNeighborsClassifier.describe generated/methods/evalml.pipelines.components.KNeighborsClassifier.fit generated/methods/evalml.pipelines.components.KNeighborsClassifier.load generated/methods/evalml.pipelines.components.KNeighborsClassifier.predict generated/methods/evalml.pipelines.components.KNeighborsClassifier.predict_proba generated/methods/evalml.pipelines.components.KNeighborsClassifier.save generated/evalml.pipelines.components.SVMClassifier generated/methods/evalml.pipelines.components.SVMClassifier.__init__ generated/methods/evalml.pipelines.components.SVMClassifier.clone generated/methods/evalml.pipelines.components.SVMClassifier.describe generated/methods/evalml.pipelines.components.SVMClassifier.fit generated/methods/evalml.pipelines.components.SVMClassifier.load generated/methods/evalml.pipelines.components.SVMClassifier.predict generated/methods/evalml.pipelines.components.SVMClassifier.predict_proba generated/methods/evalml.pipelines.components.SVMClassifier.save generated/evalml.pipelines.components.CatBoostRegressor generated/methods/evalml.pipelines.components.CatBoostRegressor.__init__ generated/methods/evalml.pipelines.components.CatBoostRegressor.clone generated/methods/evalml.pipelines.components.CatBoostRegressor.describe generated/methods/evalml.pipelines.components.CatBoostRegressor.fit generated/methods/evalml.pipelines.components.CatBoostRegressor.load generated/methods/evalml.pipelines.components.CatBoostRegressor.predict generated/methods/evalml.pipelines.components.CatBoostRegressor.predict_proba generated/methods/evalml.pipelines.components.CatBoostRegressor.save generated/evalml.pipelines.components.ElasticNetRegressor generated/methods/evalml.pipelines.components.ElasticNetRegressor.__init__ generated/methods/evalml.pipelines.components.ElasticNetRegressor.clone generated/methods/evalml.pipelines.components.ElasticNetRegressor.describe generated/methods/evalml.pipelines.components.ElasticNetRegressor.fit generated/methods/evalml.pipelines.components.ElasticNetRegressor.load generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict_proba generated/methods/evalml.pipelines.components.ElasticNetRegressor.save generated/evalml.pipelines.components.LinearRegressor generated/methods/evalml.pipelines.components.LinearRegressor.__init__ generated/methods/evalml.pipelines.components.LinearRegressor.clone generated/methods/evalml.pipelines.components.LinearRegressor.describe generated/methods/evalml.pipelines.components.LinearRegressor.fit generated/methods/evalml.pipelines.components.LinearRegressor.load generated/methods/evalml.pipelines.components.LinearRegressor.predict generated/methods/evalml.pipelines.components.LinearRegressor.predict_proba generated/methods/evalml.pipelines.components.LinearRegressor.save generated/evalml.pipelines.components.ExtraTreesRegressor generated/methods/evalml.pipelines.components.ExtraTreesRegressor.__init__ generated/methods/evalml.pipelines.components.ExtraTreesRegressor.clone generated/methods/evalml.pipelines.components.ExtraTreesRegressor.describe generated/methods/evalml.pipelines.components.ExtraTreesRegressor.fit generated/methods/evalml.pipelines.components.ExtraTreesRegressor.load generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict_proba generated/methods/evalml.pipelines.components.ExtraTreesRegressor.save generated/evalml.pipelines.components.RandomForestRegressor generated/methods/evalml.pipelines.components.RandomForestRegressor.__init__ generated/methods/evalml.pipelines.components.RandomForestRegressor.clone generated/methods/evalml.pipelines.components.RandomForestRegressor.describe generated/methods/evalml.pipelines.components.RandomForestRegressor.fit generated/methods/evalml.pipelines.components.RandomForestRegressor.load generated/methods/evalml.pipelines.components.RandomForestRegressor.predict generated/methods/evalml.pipelines.components.RandomForestRegressor.predict_proba generated/methods/evalml.pipelines.components.RandomForestRegressor.save generated/evalml.pipelines.components.XGBoostRegressor generated/methods/evalml.pipelines.components.XGBoostRegressor.__init__ generated/methods/evalml.pipelines.components.XGBoostRegressor.clone generated/methods/evalml.pipelines.components.XGBoostRegressor.describe generated/methods/evalml.pipelines.components.XGBoostRegressor.fit generated/methods/evalml.pipelines.components.XGBoostRegressor.load generated/methods/evalml.pipelines.components.XGBoostRegressor.predict generated/methods/evalml.pipelines.components.XGBoostRegressor.predict_proba generated/methods/evalml.pipelines.components.XGBoostRegressor.save generated/evalml.pipelines.components.BaselineRegressor generated/methods/evalml.pipelines.components.BaselineRegressor.__init__ generated/methods/evalml.pipelines.components.BaselineRegressor.clone generated/methods/evalml.pipelines.components.BaselineRegressor.describe generated/methods/evalml.pipelines.components.BaselineRegressor.fit generated/methods/evalml.pipelines.components.BaselineRegressor.load generated/methods/evalml.pipelines.components.BaselineRegressor.predict generated/methods/evalml.pipelines.components.BaselineRegressor.predict_proba generated/methods/evalml.pipelines.components.BaselineRegressor.save generated/evalml.pipelines.components.TimeSeriesBaselineEstimator generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.__init__ generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.clone generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.describe generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.fit generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.load generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.predict generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.predict_proba generated/methods/evalml.pipelines.components.TimeSeriesBaselineEstimator.save generated/evalml.pipelines.components.StackedEnsembleRegressor generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.__init__ generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.clone generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.describe generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.fit generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.load generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.predict generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.predict_proba generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.save generated/evalml.pipelines.components.DecisionTreeRegressor generated/methods/evalml.pipelines.components.DecisionTreeRegressor.__init__ generated/methods/evalml.pipelines.components.DecisionTreeRegressor.clone generated/methods/evalml.pipelines.components.DecisionTreeRegressor.describe generated/methods/evalml.pipelines.components.DecisionTreeRegressor.fit generated/methods/evalml.pipelines.components.DecisionTreeRegressor.load generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict_proba generated/methods/evalml.pipelines.components.DecisionTreeRegressor.save generated/evalml.pipelines.components.LightGBMRegressor generated/methods/evalml.pipelines.components.LightGBMRegressor.__init__ generated/methods/evalml.pipelines.components.LightGBMRegressor.clone generated/methods/evalml.pipelines.components.LightGBMRegressor.describe generated/methods/evalml.pipelines.components.LightGBMRegressor.fit generated/methods/evalml.pipelines.components.LightGBMRegressor.load generated/methods/evalml.pipelines.components.LightGBMRegressor.predict generated/methods/evalml.pipelines.components.LightGBMRegressor.predict_proba generated/methods/evalml.pipelines.components.LightGBMRegressor.save generated/evalml.pipelines.components.SVMRegressor generated/methods/evalml.pipelines.components.SVMRegressor.__init__ generated/methods/evalml.pipelines.components.SVMRegressor.clone generated/methods/evalml.pipelines.components.SVMRegressor.describe generated/methods/evalml.pipelines.components.SVMRegressor.fit generated/methods/evalml.pipelines.components.SVMRegressor.load generated/methods/evalml.pipelines.components.SVMRegressor.predict generated/methods/evalml.pipelines.components.SVMRegressor.predict_proba generated/methods/evalml.pipelines.components.SVMRegressor.save generated/evalml.model_understanding.confusion_matrix generated/evalml.model_understanding.normalize_confusion_matrix generated/evalml.model_understanding.precision_recall_curve generated/evalml.model_understanding.roc_curve generated/evalml.model_understanding.calculate_permutation_importance generated/evalml.model_understanding.binary_objective_vs_threshold generated/evalml.model_understanding.get_prediction_vs_actual_over_time_data generated/evalml.model_understanding.partial_dependence generated/evalml.model_understanding.get_prediction_vs_actual_data generated/evalml.model_understanding.get_linear_coefficients generated/evalml.model_understanding.t_sne generated/evalml.model_understanding.graph_precision_recall_curve generated/evalml.model_understanding.graph_roc_curve generated/evalml.model_understanding.graph_confusion_matrix generated/evalml.model_understanding.graph_permutation_importance generated/evalml.model_understanding.graph_binary_objective_vs_threshold generated/evalml.model_understanding.graph_prediction_vs_actual generated/evalml.model_understanding.graph_prediction_vs_actual_over_time generated/evalml.model_understanding.graph_partial_dependence generated/evalml.model_understanding.graph_t_sne generated/evalml.model_understanding.prediction_explanations.explain_predictions generated/evalml.model_understanding.prediction_explanations.explain_predictions_best_worst generated/evalml.objectives.ObjectiveBase generated/methods/evalml.objectives.ObjectiveBase.__init__ generated/methods/evalml.objectives.ObjectiveBase.calculate_percent_difference generated/methods/evalml.objectives.ObjectiveBase.is_defined_for_problem_type generated/methods/evalml.objectives.ObjectiveBase.objective_function generated/methods/evalml.objectives.ObjectiveBase.score 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WARNING: Missing searchtools: /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/_build/latex/_static/searchtools.js [rtd-command-info] start-time: 2021-03-09T01:07:43.874355Z, end-time: 2021-03-09T01:07:43.941399Z, duration: 0, exit-code: 0 cat latexmkrc $latex = 'latex ' . $ENV{'LATEXOPTS'} . ' %O %S'; $pdflatex = 'pdflatex ' . $ENV{'LATEXOPTS'} . ' %O %S'; $lualatex = 'lualatex ' . $ENV{'LATEXOPTS'} . ' %O %S'; $xelatex = 'xelatex --no-pdf ' . $ENV{'LATEXOPTS'} . ' %O %S'; $makeindex = 'makeindex -s python.ist %O -o %D %S'; add_cus_dep( "glo", "gls", 0, "makeglo" ); sub makeglo { return system( "makeindex -s gglo.ist -o '$_[0].gls' '$_[0].glo'" ); } [rtd-command-info] start-time: 2021-03-09T01:07:44.073028Z, end-time: 2021-03-09T01:07:57.791107Z, duration: 13, 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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[346] Underfull \hbox (badness 10000) in paragraph at lines 36638--36638 []\T1/ptm/m/it/10 boosting_type=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 gbdt\TS1/ptm/ m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 learn-ing_rate=0.1\T1/ptm/m/n/10 , \T 1/ptm/m/it/10 n_estimators=20\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 36638--36638 \T1/ptm/m/it/10 max_depth=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 num_leaves=31\T1/pt m/m/n/10 , \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 36638--36638 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=None\T 1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_seed=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 b ag- [347] [348] Underfull \hbox (badness 7362) in paragraph at lines 36841--36841 []\T1/ptm/m/it/10 C=1.0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ker-nel=\TS1/ptm/m/it/1 0 '\T1/ptm/m/it/10 rbf\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 gamma= \TS1/ptm/m/it/10 '\T1/ptm/m/it/10 scale\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 5345) in paragraph at lines 36841--36841 \T1/ptm/m/it/10 ran-dom_state=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_seed =0\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 134 on input line 36921. [349 <./inheritance-f405f0df2444abee0fe880bf121519e2cb092a82.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S VMRegressor.__init__:evalml.pipelines.components.SVMRegressor.__init__' on page 350 undefined on input line 36943. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S VMRegressor.clone:evalml.pipelines.components.SVMRegressor.clone' on page 350 u ndefined on input line 36950. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S VMRegressor.describe:evalml.pipelines.components.SVMRegressor.describe' on page 350 undefined on input line 36957. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S VMRegressor.fit:evalml.pipelines.components.SVMRegressor.fit' on page 350 undef ined on input line 36964. 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[542] (./feature-labs-inc-evalml.aux) Package rerunfilecheck Warning: File `feature-labs-inc-evalml.out' has changed. (rerunfilecheck) Rerun to get outlines right (rerunfilecheck) or use package `bookmark'. LaTeX Warning: There were undefined references. LaTeX Warning: Label(s) may have changed. Rerun to get cross-references right. ) (see the transcript file for additional information){/usr/share/texlive/texmf-d ist/fonts/enc/dvips/base/8r.enc} Output written on feature-labs-inc-evalml.pdf (546 pages, 2272567 bytes). Transcript written on feature-labs-inc-evalml.log. Latexmk: Index file 'feature-labs-inc-evalml.idx' was written Latexmk: Missing input file: 'feature-labs-inc-evalml.ind' from line 'No file feature-labs-inc-evalml.ind.' Latexmk: References changed. Latexmk: References changed. Latexmk: Log file says output to 'feature-labs-inc-evalml.pdf' Rule 'makeindex feature-labs-inc-evalml.idx': File changes, etc: Non-existent destination files: 'feature-labs-inc-evalml.ind' ------------ Run number 1 of rule 'makeindex feature-labs-inc-evalml.idx' ------------ ------------ Running 'makeindex -s python.ist -o "feature-labs-inc-evalml.ind" "feature-labs-inc-evalml.idx"' ------------ Latexmk: applying rule 'makeindex feature-labs-inc-evalml.idx'... This is makeindex, version 2.15 [TeX Live 2017] (kpathsea + Thai support). Scanning style file ./python.ist.......done (7 attributes redefined, 0 ignored). Scanning input file feature-labs-inc-evalml.idx.....done (1640 entries accepted, 0 rejected). Sorting entries................done (18684 comparisons). Generating output file feature-labs-inc-evalml.ind.....done (2974 lines written, 0 warnings). Output written in feature-labs-inc-evalml.ind. Transcript written in feature-labs-inc-evalml.ilg. 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[11] [12] [13] [14] [15] [16] [17] [18] Underfull \hbox (badness 10000) in paragraph at lines 1666--1668 []\T1/ptm/m/n/10 Be-cause the lead scor-ing la-bels are bi-nary, we will use \T 1/pcr/m/n/10 AutoMLSearch(X_train=X_train, [19] Overfull \vbox (0.52579pt too high) detected at line 1793 [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] Underfull \hbox (badness 10000) in paragraph at lines 2802--2804 []\T1/ptm/m/n/10 Be-cause the spam/ham la-bels are bi-nary, we will use \T1/pcr /m/n/10 AutoMLSearch(X_train=X_train, [31] Underfull \vbox (badness 10000) detected at line 2905 Overfull \vbox (2.88167pt too high) detected at line 2905 [32] [33] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3052 ...inxpxdimen]{{demos_text_input_19_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. 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Type H for immediate help. ... l.3705 ...]{{keyboard_interrupt_demo_updated}.gif} [43] [44] Overfull \hbox (27.04442pt too wide) in paragraph at lines 3884--3884 []|\T1/pcr/m/n/9 ************************************************************** ******************************| Overfull \hbox (27.04442pt too wide) in paragraph at lines 3886--3886 []|\T1/pcr/m/n/9 ************************************************************** ******************************| [45] [46] [47] Overfull \vbox (0.78258pt too high) detected at line 4128 [48] Underfull \vbox (badness 10000) detected at line 4209 [49] [50] Underfull \vbox (badness 10000) detected at line 4864 Overfull \vbox (2.68169pt too high) detected at line 4864 [51] Underfull \vbox (badness 10000) detected at line 4864 Overfull \vbox (2.68169pt too high) detected at line 4864 [52] Underfull \vbox (badness 10000) detected at line 4864 Overfull \vbox (2.68169pt too high) detected at line 4864 [53] Underfull \vbox (badness 10000) detected at line 4864 Overfull \vbox (2.68169pt too high) detected at line 4864 [54] Underfull \vbox (badness 10000) detected at line 4864 Overfull \vbox (2.68169pt too high) detected at line 4864 [55] Underfull \vbox (badness 10000) detected at line 4864 Overfull \vbox (2.68169pt too high) detected at line 4864 [56] Underfull \vbox (badness 10000) detected at line 4864 Overfull \vbox (2.68169pt too high) detected at line 4864 [57] Underfull \vbox (badness 10000) detected at line 4864 Overfull \vbox (2.68169pt too high) detected at line 4864 [58] Underfull \vbox (badness 10000) detected at line 4864 Overfull \vbox (2.68169pt too high) detected at line 4864 [59] Underfull \vbox (badness 10000) detected at line 4864 Overfull \vbox (2.68169pt too high) detected at line 4864 [60] [61] [62] Underfull \vbox (badness 10000) detected at line 5019 Overfull \vbox (2.68169pt too high) detected at line 5019 [63] [64] Underfull \hbox (badness 10000) in paragraph at lines 5123--5125 []\T1/ptm/m/n/10 EvalML de-fines a base ob-jec-tive class for each prob-lem typ e: \T1/pcr/m/n/10 RegressionObjective\T1/ptm/m/n/10 , [65] Overfull \vbox (0.95473pt too high) detected at line 5330 [66] Underfull \vbox (badness 10000) detected at line 5330 Overfull \vbox (2.68169pt too high) detected at line 5330 [67] [68] [69] [70] Overfull \vbox (1.94028pt too high) detected at line 5631 [71] [72] Overfull \vbox (1.18259pt too high) detected at line 5739 [73] [74] [75] [76] Underfull \hbox (badness 10000) in paragraph at lines 5969--5971 \T1/ptm/m/n/10 Pipeline def-i-ni-tions must in-herit from the proper pipeline b ase class, \T1/pcr/m/n/10 RegressionPipeline\T1/ptm/m/n/10 , [77] [78] [79] ! 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[117] [118] [119] Underfull \hbox (badness 10000) in paragraph at lines 9380--9380 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y\T1/ptm/m/n/10 , \T1/ptm/m /it/10 prob-lem_type\T1/ptm/m/n/10 , \T1/ptm/m/it/10 prob-lem_configuration=Non e\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 9386--9388 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U data of shape Underfull \hbox (badness 10000) in paragraph at lines 9488--9491 []|\T1/ptm/m/n/10 An ex-cep-tion to be raised when pre- Underfull \hbox (badness 10000) in paragraph at lines 9495--9498 []|\T1/ptm/m/n/10 An ex-cep-tion to be raised when pre- [120] [121 <./inheritance-fbe44cceda2ddf610a01f1aa507eb6e4fc72d000.pdf> <./inhe ritance-535a4e702bd0e671be8566997bd5ef039bbdfa9b.pdf pdfTeX warning: pdflatex (file ./inheritance-535a4e702bd0e671be8566997bd5ef039b bdfa9b.pdf): PDF inclusion: multiple pdfs with page group included in a single page >] [122 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<./inheritance-8d604a1aefd9ffd7ffb1cf5ecbe80b11101218ef.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 23281--23281 []\T1/ptm/m/it/10 cols=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 smooth-ing=1.0\T1/p tm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23281--23281 \T1/ptm/m/it/10 han-dle_unknown=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 value\TS1/ptm /m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 han- Underfull \hbox (badness 10000) in paragraph at lines 23281--23281 \T1/ptm/m/it/10 dle_missing=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 value\TS1/ptm/m/i t/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 23281--23281 \T1/ptm/m/it/10 dom_state=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_seed=0\T 1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23433--23433 []\T1/ptm/m/it/10 cols=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 smooth-ing=1.0\T1/p tm/m/n/10 , \T1/ptm/m/it/10 han-dle_unknown=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 v alue\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 han- Underfull \hbox (badness 10000) in paragraph at lines 23433--23433 \T1/ptm/m/it/10 dle_missing=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 value\TS1/ptm/m/i t/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=None\T1/ptm/m/n/10 , \T1/p tm/m/it/10 ran-dom_seed=0\T1/ptm/m/n/10 , [237] [238] [239] Underfull \hbox (badness 10000) in paragraph at lines 23697--23697 []\T1/ptm/m/it/10 impute_strategies=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 de- Overfull \hbox (18.8531pt too wide) in paragraph at lines 23697--23697 \T1/ptm/m/it/10 fault_impute_strategy=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 most_fr equent\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23697--23697 \T1/ptm/m/it/10 ran-dom_state=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [240 <./inheritance-96dbc83b0f843e02bed062201f347bf0fc5d108d.pdf>] Overfull \hbox (3.23204pt too wide) in paragraph at lines 23842--23842 []\T1/ptm/m/it/10 impute_strategies=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 de-fau lt_impute_strategy=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 most_frequent\TS1/ptm/m/it /10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 7504) in paragraph at lines 23848--23854 []\T1/pcr/b/n/10 impute_strategies \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 dict\T1/ptm/ m/n/10 ) ^^U Col-umn and {^^Pim-pute_strategy^^Q: strat-egy, [241] [242] Underfull \hbox (badness 10000) in paragraph at lines 24083--24083 []\T1/ptm/m/it/10 categorical_impute_strategy=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 most_frequent\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24083--24083 \T1/ptm/m/it/10 cat-e-gor-i-cal_fill_value=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nu- Underfull \hbox (badness 10000) in paragraph at lines 24083--24083 \T1/ptm/m/it/10 meric_impute_strategy=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 mean\TS 1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nu- Underfull \hbox (badness 10000) in paragraph at lines 24083--24083 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10000) in paragraph at lines 26366--26366 \T1/ptm/m/it/10 ran-dom_state=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [263] [264] [265] Underfull \hbox (badness 10000) in paragraph at lines 26776--26776 []\T1/ptm/m/it/10 random_state=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [266 <./inheritance-7f865ff607fe6a36dbaf4815a393b468bcd003d6.pdf>] [267] [268] Underfull \hbox (badness 10000) in paragraph at lines 27151--27151 []\T1/ptm/m/it/10 max_delay=2\T1/ptm/m/n/10 , \T1/ptm/m/it/10 de- Underfull \hbox (badness 10000) in paragraph at lines 27151--27151 \T1/ptm/m/it/10 lay_features=True\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27151--27151 \T1/ptm/m/it/10 de-lay_target=True\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27151--27151 \T1/ptm/m/it/10 gap=1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 27151--27151 \T1/ptm/m/it/10 dom_state=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27151--27151 \T1/ptm/m/it/10 ran-dom_seed=0\T1/ptm/m/n/10 , [269 <./inheritance-919c371df0a3efec459c4ac709a8087c7a3199dd.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 27296--27296 []\T1/ptm/m/it/10 max_delay=2\T1/ptm/m/n/10 , \T1/ptm/m/it/10 de-lay_features=T rue\T1/ptm/m/n/10 , \T1/ptm/m/it/10 de- Underfull \hbox (badness 10000) in paragraph at lines 27296--27296 \T1/ptm/m/it/10 lay_target=True\T1/ptm/m/n/10 , \T1/ptm/m/it/10 gap=1\T1/ptm/m/ n/10 , \T1/ptm/m/it/10 ran-dom_state=None\T1/ptm/m/n/10 , [270] [271] [272 <./inheritance-4826f98d841e60352f8759b1db62ac1965802ba9.pdf>] [273] [274] [275 <./inheritance-1a2194a5f84c1cf6d42e86e2c93c638b9bd9d42f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 28047--28047 []\T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , \T1/ptm/m/it/10 eta=0.03\T1/p tm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28047--28047 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , \T1/ptm/m/it/10 boot- Underfull 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min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28785--28785 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 28785--28785 \T1/ptm/m/it/10 dom_state=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [282 <./inheritance-71e221308ae9e5a8e690b75e51411e7f2826aa76.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 28949--28949 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_features =\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 auto\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/p tm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28949--28949 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , \T1/ptm/m/it/10 min_weight_ fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28949--28949 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=None\T 1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_seed=0\T1/ptm/m/n/10 , [283] [284] Underfull \hbox (badness 10000) in paragraph at lines 29152--29152 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 6510) in paragraph at lines 29152--29152 \T1/ptm/m/it/10 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=None\T1/ptm/m/n /10 , Underfull \hbox (badness 10000) in paragraph at lines 29152--29152 \T1/ptm/m/it/10 ran-dom_seed=0\T1/ptm/m/n/10 , [285 <./inheritance-abc0dc2e5f5762f7f112cac68f9a02e8fe19b03e.pdf>] [286] [287] Underfull \hbox (badness 10000) in paragraph at lines 29519--29519 []\T1/ptm/m/it/10 boosting_type=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 gbdt\TS1/ptm/ m/it/10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 29519--29519 \T1/ptm/m/it/10 learn-ing_rate=0.1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 29519--29519 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 29519--29519 \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 29519--29519 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 29519--29519 \T1/ptm/m/it/10 dom_state=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 29519--29519 \T1/ptm/m/it/10 dom_seed=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 bag- Underfull \hbox (badness 10000) in paragraph at lines 29519--29519 \T1/ptm/m/it/10 ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/10 bag- [288 <./inheritance-10696699a4a9637d6fae1d83042aab80219fd4e7.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 29697--29697 \T1/ptm/m/it/10 max_depth=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 num_leaves=31\T1/pt m/m/n/10 , \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 6792) in paragraph at lines 29697--29697 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=None\T 1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_seed=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 b ag- [289] [290] Underfull \hbox (badness 10000) in paragraph at lines 29900--29900 []\T1/ptm/m/it/10 penalty=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 l2\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 29900--29900 \T1/ptm/m/it/10 C=1.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 29900--29900 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , Overfull \hbox (10.11395pt too wide) in paragraph at lines 29900--29900 \T1/ptm/m/it/10 multi_class=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 auto\TS1/ptm/m/it /10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 29900--29900 \T1/ptm/m/it/10 solver=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 lbfgs\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 29900--29900 \T1/ptm/m/it/10 ran- Overfull \hbox (4.71446pt too wide) in paragraph at lines 29900--29900 \T1/ptm/m/it/10 dom_state=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 29900--29900 \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 29900--29900 \T1/ptm/m/it/10 dom_seed=0\T1/ptm/m/n/10 , [291 <./inheritance-04efa8b974f3c98fe6222d736b5bc5b44c782a07.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 30064--30064 []\T1/ptm/m/it/10 penalty=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 l2\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 C=1.0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs= - 1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30064--30064 \T1/ptm/m/it/10 multi_class=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 auto\TS1/ptm/m/it /10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 solver=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 lbfgs\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [292] [293] Underfull \hbox (badness 10000) in paragraph at lines 30267--30267 []\T1/ptm/m/it/10 eta=0.1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/ n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30267--30267 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30267--30267 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 30267--30267 \T1/ptm/m/it/10 dom_state=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [294 <./inheritance-6ebb88fe8608ee2cbd6a182146f9214b68ccc2ac.pdf>] [295] [296] [297 <./inheritance-7e535c5b1c9a51233577159360851cea6f489c8b.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 30648--30648 []\T1/ptm/m/it/10 strategy=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 mode\TS1/ptm/m/it/ 10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 30648--30648 \T1/ptm/m/it/10 dom_state=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [298] Underfull \hbox (badness 10000) in paragraph at lines 30822--30822 []\T1/ptm/m/it/10 strategy=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 mode\TS1/ptm/m/it/ 10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=None\T1/ptm/m/n/10 , \T1/ptm /m/it/10 ran-dom_seed=0\T1/ptm/m/n/10 , [299] [300] Overfull \hbox (7.27411pt too wide) in paragraph at lines 31042--31042 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31042--31042 \T1/ptm/m/it/10 fi- Overfull \hbox (1.16414pt too wide) in paragraph at lines 31042--31042 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31042--31042 \T1/ptm/m/it/10 cv=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31042--31042 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 31042--31042 \T1/ptm/m/it/10 dom_state=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31042--31042 \T1/ptm/m/it/10 ran-dom_seed=0\T1/ptm/m/n/10 , [301 <./inheritance-8ed6b0880aaf6d309d54b6f404ba2361688fb2b4.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 31206--31206 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 fi-nal_e stimator=None\T1/ptm/m/n/10 , [302] [303] [304 <./inheritance-3b48731c5a00dc02fd82013d9f613d93e931ecbc.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 31465--31465 []\T1/ptm/m/it/10 criterion=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 gini\TS1/ptm/m/it /10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31465--31465 \T1/ptm/m/it/10 max_features=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 auto\TS1/ptm/m/i t/10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31465--31465 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31465--31465 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (22.18385pt too wide) in paragraph at lines 31465--31465 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31465--31465 \T1/ptm/m/it/10 ran-dom_state=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31465--31465 \T1/ptm/m/it/10 ran-dom_seed=0\T1/ptm/m/n/10 , [305] Underfull \hbox (badness 10000) in paragraph at lines 31629--31629 []\T1/ptm/m/it/10 criterion=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 gini\TS1/ptm/m/it /10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_features=\TS1/ptm/m/it/10 '\T1/ptm/m/ it/10 auto\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm /m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31629--31629 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , \T1/ptm/m/it/10 min_weight_ fraction_leaf=0.0\T1/ptm/m/n/10 , [306] [307 <./inheritance-e1a8ceaf0ccaac93fe8aeea725d77adc4c84ba2e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 31832--31832 []\T1/ptm/m/it/10 n_neighbors=5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31832--31832 \T1/ptm/m/it/10 weights=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 uniform\TS1/ptm/m/it/ 10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 al-go- Underfull \hbox (badness 7168) in paragraph at lines 31832--31832 \T1/ptm/m/it/10 p=2\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=None\T1/ptm/m /n/10 , [308] Underfull \hbox (badness 10000) in paragraph at lines 31996--31996 []\T1/ptm/m/it/10 n_neighbors=5\T1/ptm/m/n/10 , \T1/ptm/m/it/10 weights=\TS1/pt m/m/it/10 '\T1/ptm/m/it/10 uniform\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/ it/10 al-go-rithm=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 auto\TS1/ptm/m/it/10 '\T1/p tm/m/n/10 , [309] [310 <./inheritance-d8b05ca7817ca6ac0072b477b9dd224a8b395583.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 32199--32199 \T1/ptm/m/it/10 prob-a-bil-ity=True\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 32199--32199 \T1/ptm/m/it/10 dom_state=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_seed=0\T 1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 32363--32363 []\T1/ptm/m/it/10 C=1.0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ker-nel=\TS1/ptm/m/it/1 0 '\T1/ptm/m/it/10 rbf\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 gamma= \TS1/ptm/m/it/10 '\T1/ptm/m/it/10 scale\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/p tm/m/it/10 prob-a-bil-ity=True\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [311] [312] [313 <./inheritance-5ad73fda281d43d5378c26d8319ee28fef64cd14.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 32676--32676 []\T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , \T1/ptm/m/it/10 eta=0.03\T1/p tm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 32676--32676 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , \T1/ptm/m/it/10 boot- Underfull \hbox (badness 10000) in paragraph at lines 32676--32676 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 32676--32676 \T1/ptm/m/it/10 ran-dom_state=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [314] Underfull \hbox (badness 10000) in paragraph at lines 32844--32844 []\T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , \T1/ptm/m/it/10 eta=0.03\T1/p tm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , \T1/ptm/m/it/10 boot- Underfull \hbox (badness 10000) in paragraph at lines 32844--32844 \T1/ptm/m/it/10 strap_type=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 silent=False\T1 /ptm/m/n/10 , \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [315] [316] Underfull \hbox (badness 10000) in paragraph at lines 33047--33047 []\T1/ptm/m/it/10 alpha=0.5\T1/ptm/m/n/10 , \T1/ptm/m/it/10 l1_ratio=0.5\T1/ptm /m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 33047--33047 \T1/ptm/m/it/10 max_iter=1000\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor- Underfull \hbox (badness 10000) in paragraph at lines 33047--33047 \T1/ptm/m/it/10 mal-ize=False\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 33047--33047 \T1/ptm/m/it/10 dom_state=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [317 <./inheritance-60cfa8eedb90e4a053500b64a9415c8942f1be18.pdf>] [318] [319] Underfull \hbox (badness 10000) in paragraph at lines 33414--33414 []\T1/ptm/m/it/10 fit_intercept=True\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- Underfull \hbox (badness 10000) in paragraph at lines 33414--33414 \T1/ptm/m/it/10 ize=False\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n /10 , \T1/ptm/m/it/10 ran- [320 <./inheritance-f5b088a49ce22dfd45c59341b12823d231773a0c.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 33578--33578 []\T1/ptm/m/it/10 fit_intercept=True\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal-iz e=False\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , \T1/ptm/m/it /10 ran- [321] [322] Underfull \hbox (badness 10000) in paragraph at lines 33781--33781 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 33781--33781 \T1/ptm/m/it/10 max_features=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 auto\TS1/ptm/m/i t/10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 33781--33781 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 33781--33781 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (4.18385pt too wide) in paragraph at lines 33781--33781 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 33781--33781 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 33781--33781 \T1/ptm/m/it/10 dom_state=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [323 <./inheritance-a22c3f24d9b04641643c49ac0e8e2bcbd8acf180.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 33945--33945 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_features =\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 auto\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/p tm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 33945--33945 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , \T1/ptm/m/it/10 min_weight_ fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 33945--33945 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=None\T 1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_seed=0\T1/ptm/m/n/10 , [324] [325] Underfull \hbox (badness 10000) in paragraph at lines 34148--34148 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , [326 <./inheritance-c48dc838bc60015410d4086679b2a20fffde8c26.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 34312--34312 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\ T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [327] [328] Underfull \hbox (badness 10000) in paragraph at lines 34515--34515 []\T1/ptm/m/it/10 eta=0.1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/ n/10 , Underfull \hbox (badness 10000) in paragraph at lines 34515--34515 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 34515--34515 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 34515--34515 \T1/ptm/m/it/10 dom_state=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [329 <./inheritance-9a0f6555b588a7b1c5351386143aa958422eca6e.pdf>] [330] [331] Underfull \hbox (badness 10000) in paragraph at lines 34896--34896 []\T1/ptm/m/it/10 strategy=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 mean\TS1/ptm/m/it/ 10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 34896--34896 \T1/ptm/m/it/10 dom_state=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [332 <./inheritance-51c0f3429ee87e9685485ae0ef1b1a32161f726f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 35063--35063 []\T1/ptm/m/it/10 strategy=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 mean\TS1/ptm/m/it/ 10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=None\T1/ptm/m/n/10 , \T1/ptm /m/it/10 ran-dom_seed=0\T1/ptm/m/n/10 , [333] [334] [335 <./inheritance-ce2c8c1dd2ba365ebbf03097f5d4cbfb6569c17d.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 35283--35283 []\T1/ptm/m/it/10 gap=1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 35283--35283 \T1/ptm/m/it/10 dom_state=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 35283--35283 \T1/ptm/m/it/10 ran-dom_seed=0\T1/ptm/m/n/10 , [336] [337] [338] Overfull \hbox (1.27411pt too wide) in paragraph at lines 35670--35670 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 35670--35670 \T1/ptm/m/it/10 fi- Underfull \hbox (badness 10000) in paragraph at lines 35670--35670 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 35670--35670 \T1/ptm/m/it/10 ran-dom_state=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 35670--35670 \T1/ptm/m/it/10 ran-dom_seed=0\T1/ptm/m/n/10 , [339 <./inheritance-2a4598667c73b4346dbd4865edbd7df84932696e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 35834--35834 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 fi-nal_e stimator=None\T1/ptm/m/n/10 , [340] [341] [342 <./inheritance-edd0ee4096c6db6edfc11e3e227ecf5e22d8f1da.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 36093--36093 []\T1/ptm/m/it/10 criterion=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 mse\TS1/ptm/m/it/ 10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 36093--36093 \T1/ptm/m/it/10 max_features=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 auto\TS1/ptm/m/i t/10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 36093--36093 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 36093--36093 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (16.18385pt too wide) in paragraph at lines 36093--36093 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , [343] Underfull \hbox (badness 10000) in paragraph at lines 36257--36257 []\T1/ptm/m/it/10 criterion=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 mse\TS1/ptm/m/it/ 10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_features=\TS1/ptm/m/it/10 '\T1/ptm/m/i t/10 auto\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/ m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 36257--36257 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , \T1/ptm/m/it/10 min_weight_ fraction_leaf=0.0\T1/ptm/m/n/10 , [344] [345 <./inheritance-cd29f096fd4e093ddd0fc6634c68918845120f9f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 36460--36460 []\T1/ptm/m/it/10 boosting_type=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 gbdt\TS1/ptm/ m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 learn- Underfull \hbox (badness 10000) in paragraph at lines 36460--36460 \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 36460--36460 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 36460--36460 \T1/ptm/m/it/10 dom_state=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 36460--36460 \T1/ptm/m/it/10 dom_seed=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 bag- Underfull \hbox (badness 10000) in paragraph at lines 36460--36460 \T1/ptm/m/it/10 ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/10 bag- [346] Underfull \hbox (badness 10000) in paragraph at lines 36638--36638 []\T1/ptm/m/it/10 boosting_type=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 gbdt\TS1/ptm/ m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 learn-ing_rate=0.1\T1/ptm/m/n/10 , \T 1/ptm/m/it/10 n_estimators=20\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 36638--36638 \T1/ptm/m/it/10 max_depth=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 num_leaves=31\T1/pt m/m/n/10 , \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 36638--36638 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=None\T 1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_seed=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 b ag- [347] [348] Underfull \hbox (badness 7362) in paragraph at lines 36841--36841 []\T1/ptm/m/it/10 C=1.0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ker-nel=\TS1/ptm/m/it/1 0 '\T1/ptm/m/it/10 rbf\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 gamma= \TS1/ptm/m/it/10 '\T1/ptm/m/it/10 scale\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 5345) in paragraph at lines 36841--36841 \T1/ptm/m/it/10 ran-dom_state=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_seed =0\T1/ptm/m/n/10 , [349 <./inheritance-f405f0df2444abee0fe880bf121519e2cb092a82.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 37005--37005 []\T1/ptm/m/it/10 C=1.0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ker-nel=\TS1/ptm/m/it/1 0 '\T1/ptm/m/it/10 rbf\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 gamma= \TS1/ptm/m/it/10 '\T1/ptm/m/it/10 scale\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/p tm/m/it/10 ran-dom_state=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [350] [351] Overfull \hbox (11.72247pt too wide) in paragraph at lines 37269--37271 []|[][]\T1/pcr/m/sl/10 get_prediction_vs_actual_over_time_data[][]| Underfull \hbox (badness 10000) in paragraph at lines 37272--37275 []|\T1/ptm/m/n/10 Get the data needed for the pre-dic- [352 <./inheritance-26f53c29ccd8e82c3ee880e4d04f3f7d657e3f54.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 37311--37311 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n /10 , \T1/ptm/m/it/10 nor-mal- Underfull \hbox (badness 6526) in paragraph at lines 37325--37327 []\T1/pcr/b/n/10 normalize_method \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 {\TS1/pcr/m/s l/10 '\T1/pcr/m/sl/10 true\TS1/pcr/m/sl/10 '\T1/pcr/m/sl/10 , \TS1/pcr/m/sl/10 '\T1/pcr/m/sl/10 pred\TS1/pcr/m/sl/10 '\T1/pcr/m/sl/10 , \TS1/pcr/m/sl/10 '\T1/ pcr/m/sl/10 all\TS1/pcr/m/sl/10 '\T1/pcr/m/sl/10 , None}\T1/ptm/m/n/10 ) ^^U No r-mal-iza-tion Underfull \hbox (badness 10000) in paragraph at lines 37348--37348 []\T1/ptm/m/it/10 conf_mat\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- [353] Overfull \hbox (137.00916pt too wide) in paragraph at lines 37453--37453 [] Underfull \hbox (badness 10000) in paragraph at lines 37453--37453 Overfull \hbox (12.23114pt too wide) in paragraph at lines 37454--37454 [] Underfull \hbox (badness 10000) in paragraph at lines 37454--37454 Underfull \hbox (badness 10000) in paragraph at lines 37492--37492 \T1/ptm/m/it/10 tive\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_repeats=5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 37492--37492 \T1/ptm/m/it/10 n_jobs=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 37492--37492 \T1/ptm/m/it/10 dom_state=None\T1/ptm/m/n/10 , [354] Underfull \hbox (badness 10000) in paragraph at lines 37594--37594 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 37594--37594 \T1/ptm/m/it/10 X\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y\T1/ptm/m/n/10 , [355] Underfull \hbox (badness 10000) in paragraph at lines 37631--37631 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , \T1/ptm/m/it/10 X\T1/ptm/m/n/10 , \T 1/ptm/m/it/10 fea-tures\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 37716--37716 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_pred\T1/ptm/m/n/10 , \T1/ptm/m/it/10 out- [356] [357] Underfull \hbox (badness 10000) in paragraph at lines 37953--37953 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_pred_proba\T1/ptm/m/ n/10 , \T1/ptm/m/it/10 cus- Underfull \hbox (badness 10000) in paragraph at lines 37953--37953 \T1/ptm/m/it/10 tom_class_names=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ti- [358] Underfull \hbox (badness 10000) in paragraph at lines 37990--37990 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_pred\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- Underfull \hbox (badness 10000) in paragraph at lines 37990--37990 \T1/ptm/m/it/10 ize_method=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 true\TS1/ptm/m/it/ 10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ti- Underfull \hbox (badness 6526) in paragraph at lines 38007--38009 []\T1/pcr/b/n/10 normalize_method \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 {\TS1/pcr/m/s l/10 '\T1/pcr/m/sl/10 true\TS1/pcr/m/sl/10 '\T1/pcr/m/sl/10 , \TS1/pcr/m/sl/10 '\T1/pcr/m/sl/10 pred\TS1/pcr/m/sl/10 '\T1/pcr/m/sl/10 , \TS1/pcr/m/sl/10 '\T1/ pcr/m/sl/10 all\TS1/pcr/m/sl/10 '\T1/pcr/m/sl/10 , None}\T1/ptm/m/n/10 ) ^^U No r-mal-iza-tion [359] Underfull \hbox (badness 10000) in paragraph at lines 38071--38071 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , \T1/ptm/m/it/10 X\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 38071--38071 \T1/ptm/m/it/10 y\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ob-jec-tive\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 38112--38112 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_pred\T1/ptm/m/n/10 , \T1/ptm/m/it/10 out- [360] Underfull \hbox (badness 10000) in paragraph at lines 38188--38188 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , \T1/ptm/m/it/10 X\T1/ptm/m/n/10 , \T 1/ptm/m/it/10 fea-tures\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 38188--38188 \T1/ptm/m/it/10 class_label=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 38248--38248 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_components=2\T1/ptm/m/n/1 0 , \T1/ptm/m/it/10 per-plex-ity=30.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 38248--38248 \T1/ptm/m/it/10 learn-ing_rate=200.0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 met-ric=\T S1/ptm/m/it/10 '\T1/ptm/m/it/10 euclidean\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 38266--38268 []\T1/pcr/b/n/10 Larger datasets usually require a larger perplexity. 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[511] Underfull \hbox (badness 10000) in paragraph at lines 54807--54809 []\T1/ptm/m/n/10 Ad-justed \T1/pcr/m/n/10 explain_prediction\T1/ptm/m/n/10 , \T 1/pcr/m/n/10 explain_predictions \T1/ptm/m/n/10 and Underfull \hbox (badness 10000) in paragraph at lines 54827--54829 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 is_bounded_like_percentage \T1/ptm/m/n/10 prop-erty for ob-jec-tives. If true, the [512] [513] [514] [515] Underfull \hbox (badness 10000) in paragraph at lines 55350--55352 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 visualize_decision_tree \T1/ptm/m/n/10 fo r tree vi-su-al-iza- Underfull \hbox (badness 10000) in paragraph at lines 55350--55352 \T1/ptm/m/n/10 tion with \T1/pcr/m/n/10 decision_tree_data_from_estimator \T1/p tm/m/n/10 and Underfull \hbox (badness 10000) in paragraph at lines 55362--55364 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 graph_prediction_vs_actual_over_time \T1/ ptm/m/n/10 and [516] Underfull \hbox (badness 10000) in paragraph at lines 55414--55416 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 TimeSeriesBinaryClassificationPipeline \T 1/ptm/m/n/10 and Underfull \hbox (badness 5475) in paragraph at lines 55426--55428 []\T1/ptm/m/n/10 Up-date \T1/pcr/m/n/10 AutoMLSearch \T1/ptm/m/n/10 con-struc-t or to take train-ing data in-stead of \T1/pcr/m/n/10 search \T1/ptm/m/n/10 and Underfull \hbox (badness 10000) in paragraph at lines 55448--55450 []\T1/ptm/m/n/10 Fix Au-toML not pass-ing CV folds to \T1/pcr/m/n/10 DefaultDat aChecks \T1/ptm/m/n/10 for us-age by [517] Underfull \hbox (badness 10000) in paragraph at lines 55526--55528 []\T1/ptm/m/n/10 Move data split-ters from \T1/pcr/m/n/10 evalml.automl.data_sp litters \T1/ptm/m/n/10 to \T1/pcr/m/n/10 evalml. 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Underfull \hbox (badness 10000) in paragraph at lines 55580--55582 []\T1/ptm/m/n/10 Up-date \T1/pcr/m/n/10 AutoMLSearch \T1/ptm/m/n/10 con-struc-t or to take train-ing data in-stead of \T1/pcr/m/n/10 search \T1/ptm/m/n/10 and [518] [519] Underfull \hbox (badness 10000) in paragraph at lines 55861--55863 []\T1/ptm/m/n/10 Re-named \T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 to \T1/pcr /m/n/10 problem_types \T1/ptm/m/n/10 in \T1/pcr/m/n/10 RegressionObjective\T1/p tm/m/n/10 , Underfull \hbox (badness 7777) in paragraph at lines 55861--55863 \T1/pcr/m/n/10 BinaryClassificationObjective\T1/ptm/m/n/10 , and \T1/pcr/m/n/10 MulticlassClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 55877--55879 []\T1/ptm/m/n/10 Added stacked en-sem-ble com-po-nent classes (\T1/pcr/m/n/10 S tackedEnsembleClassifier\T1/ptm/m/n/10 , [520] Underfull \hbox (badness 10000) in paragraph at lines 55901--55903 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 HighVarianceCVDataCheck \T1/ptm/m/n/10 an d re-placed syn-ony-mous warn-ing in Underfull \hbox (badness 10000) in paragraph at lines 55921--55923 []\T1/ptm/m/n/10 Added cv_folds to \T1/pcr/m/n/10 ClassImbalanceDataCheck \T1/p tm/m/n/10 and added this check to [521] Underfull \hbox (badness 10000) in paragraph at lines 56127--56129 []\T1/pcr/m/n/10 max_pipelines \T1/ptm/m/n/10 pa-ram-e-ter has been re-moved fr om \T1/pcr/m/n/10 AutoMLSearch\T1/ptm/m/n/10 . Please use [522] Underfull \hbox (badness 10000) in paragraph at lines 56235--56237 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 solver \T1/ptm/m/n/10 and \T1/pcr/m/n/10 multi_class \T1/ptm/m/n/10 as named ar-gu-ments to [523] [524] Underfull \hbox (badness 10000) in paragraph at lines 56501--56505 [] [525] [526] Underfull \hbox (badness 10000) in paragraph at lines 56770--56772 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 _compute_shap_values \T1/ptm/m/n/10 and \ T1/pcr/m/n/10 normalize_values \T1/ptm/m/n/10 to \T1/pcr/m/n/10 pipelines/ [527] Underfull \hbox (badness 5475) in paragraph at lines 56804--56806 []\T1/ptm/m/n/10 Added uni-ver-sal er-ror for call-ing \T1/pcr/m/n/10 predict\T 1/ptm/m/n/10 , \T1/pcr/m/n/10 predict_proba\T1/ptm/m/n/10 , \T1/pcr/m/n/10 tran sform\T1/ptm/m/n/10 , and Underfull \hbox (badness 10000) in paragraph at lines 56808--56810 []\T1/ptm/m/n/10 Made \T1/pcr/m/n/10 TextFeaturizer \T1/ptm/m/n/10 com-po-nent and pip de-pen-den-cies \T1/pcr/m/n/10 featuretools \T1/ptm/m/n/10 and Underfull \hbox (badness 10000) in paragraph at lines 56838--56840 []\T1/ptm/m/n/10 Moved \T1/pcr/m/n/10 evalml.model_families.list_model_families \T1/ptm/m/n/10 to \T1/pcr/m/n/10 evalml. [528] Underfull \hbox (badness 10000) in paragraph at lines 56916--56918 []\T1/pcr/m/n/10 evalml.model_families.list_model_families \T1/ptm/m/n/10 has b een moved to \T1/pcr/m/n/10 evalml. Underfull \hbox (badness 10000) in paragraph at lines 56968--56970 []\T1/ptm/m/n/10 Deleted static pipelines and refac-tored tests in-volv-ing sta tic pipelines, re-moved [529] Underfull \hbox (badness 10000) in paragraph at lines 57078--57080 []\T1/ptm/m/n/10 Added sup-port for \T1/pcr/m/n/10 categories\T1/ptm/m/n/10 , \ T1/pcr/m/n/10 handle_error\T1/ptm/m/n/10 , and \T1/pcr/m/n/10 drop \T1/ptm/m/n/ 10 pa-ram-e-ters in [530] Underfull \hbox (badness 10000) in paragraph at lines 57178--57180 []\T1/ptm/m/n/10 Refac-tor \T1/pcr/m/n/10 handle_components \T1/ptm/m/n/10 to \ T1/pcr/m/n/10 handle_components_class\T1/ptm/m/n/10 , stan-dard-ize to Underfull \hbox (badness 10000) in paragraph at lines 57186--57188 []\T1/ptm/m/n/10 Re-placed \T1/pcr/m/n/10 AutoClassificationSearch \T1/ptm/m/n/ 10 and \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 with Underfull \hbox (badness 10000) in paragraph at lines 57230--57232 []\T1/ptm/m/n/10 Re-placed \T1/pcr/m/n/10 AutoClassificationSearch \T1/ptm/m/n/ 10 and \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 with Underfull \hbox (badness 5374) in paragraph at lines 57248--57250 []\T1/ptm/m/n/10 Re-name \T1/pcr/m/n/10 handle_component \T1/ptm/m/n/10 to \T1/ pcr/m/n/10 handle_component_class\T1/ptm/m/n/10 . Now stan-dard-izes to [531] Underfull \hbox (badness 10000) in paragraph at lines 57356--57358 []\T1/ptm/m/n/10 Up-dated Au-to-Base with \T1/pcr/m/n/10 data_checks \T1/ptm/m/ n/10 pa-ram-e-ter, re-moved pre-vi-ous [532] [533] [534] Underfull \hbox (badness 10000) in paragraph at lines 57658--57660 []\T1/ptm/m/n/10 Re-named \T1/pcr/m/n/10 pipeline.feature_importance_graph \T1/ ptm/m/n/10 to \T1/pcr/m/n/10 pipeline. Overfull \hbox (32.69456pt too wide) in paragraph at lines 57666--57668 []\T1/ptm/m/n/10 Re-named \T1/pcr/m/n/10 MultiClassificationObjective \T1/ptm/m /n/10 to \T1/pcr/m/n/10 MulticlassClassificationObjective\T1/ptm/m/n/10 , [535] Underfull \hbox (badness 10000) in paragraph at lines 57838--57840 []\T1/pcr/m/n/10 pipeline.feature_importance_graph \T1/ptm/m/n/10 has been re-n amed to \T1/pcr/m/n/10 pipeline. Underfull \hbox (badness 10000) in paragraph at lines 57860--57862 []\T1/ptm/m/n/10 Re-named \T1/pcr/m/n/10 PipelineBase.name \T1/ptm/m/n/10 as \T 1/pcr/m/n/10 PipelineBase.summary \T1/ptm/m/n/10 and re-de-fined [536] Underfull \hbox (badness 10000) in paragraph at lines 57912--57914 []\T1/ptm/m/n/10 Refac-tored \T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 for pi pelines and com-po-nents into Underfull \hbox (badness 10000) in paragraph at lines 57916--57918 []\T1/ptm/m/n/10 Moved \T1/pcr/m/n/10 pipelines/utils.save_pipeline \T1/ptm/m/n /10 and \T1/pcr/m/n/10 pipelines/utils. 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\T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mo deBaselineMulticlassPipeline Overfull \hbox (32.97968pt too wide) in paragraph at lines 869--871 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mu lticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 872--873 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Re gressionPipeline [552] Overfull \hbox (58.29964pt too wide) in paragraph at lines 873--875 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ti meSeriesBaselineRegressionPipeline Overfull \hbox (62.41951pt too wide) in paragraph at lines 875--877 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ti meSeriesBinaryClassificationPipeline Overfull \hbox (35.1998pt too wide) in paragraph at lines 877--879 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ti meSeriesClassificationPipeline Overfull \hbox (76.86905pt too wide) in paragraph at lines 879--881 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ti meSeriesMulticlassClassificationPipeline Overfull \hbox (23.86009pt too wide) in paragraph at lines 881--883 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ti meSeriesRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 883--885 []\T1/pcr/m/n/10 describe_pipeline() Underfull \hbox (badness 10000) in paragraph at lines 883--885 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.AutoMLSearch method\T1/ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 885--887 []\T1/pcr/m/n/10 detect_problem_type() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-u le Underfull \hbox (badness 10000) in paragraph at lines 887--888 []\T1/pcr/m/n/10 DFSTransformer \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 888--890 []\T1/pcr/m/n/10 drop_nan_target_rows() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod- ule Underfull \hbox (badness 10000) in paragraph at lines 892--893 []\T1/pcr/m/n/10 DropNullColumns \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 896--898 []\T1/pcr/m/n/10 ElasticNetClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 898--900 []\T1/pcr/m/n/10 ElasticNetRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 900--902 []\T1/pcr/m/n/10 EnsembleMissingPipelinesError \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 903--905 []\T1/pcr/m/n/10 explain_predictions() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-u le Overfull \hbox (31.08055pt too wide) in paragraph at lines 903--905 \T1/ptm/m/it/10 evalml.model_understanding.prediction_explanations\T1/ptm/m/n/1 0 ), Overfull \hbox (45.20041pt too wide) in paragraph at lines 905--907 \T1/ptm/m/it/10 ule evalml.model_understanding.prediction_explanations\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 908--910 []\T1/pcr/m/n/10 ExtraTreesClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 910--912 []\T1/pcr/m/n/10 ExtraTreesRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 919--920 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Baselin eBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 920--922 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Baselin eMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 922--924 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Baselin eRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 924--926 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BinaryC lassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 935--937 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.ComponentBase Overfull \hbox (3.60025pt too wide) in paragraph at lines 937--939 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.DateTimeFeaturizer Overfull \hbox (14.53993pt too wide) in paragraph at lines 939--941 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.DecisionTreeClassifier Overfull \hbox (15.98012pt too wide) in paragraph at lines 941--943 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.DecisionTreeRegressor Overfull \hbox (36.96011pt too wide) in paragraph at lines 943--945 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.DelayedFeatureTransformer Underfull \hbox (badness 10000) in paragraph at lines 945--947 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.DFSTransformer Underfull \hbox (badness 10000) in paragraph at lines 947--948 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.DropColumns Overfull \hbox (3.24988pt too wide) in paragraph at lines 950--952 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.ElasticNetClassifier Overfull \hbox (4.69006pt too wide) in paragraph at lines 952--954 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 954--955 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.Estimator Overfull \hbox (4.9501pt too wide) in paragraph at lines 955--957 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.ExtraTreesClassifier Overfull \hbox (6.39029pt too wide) in paragraph at lines 957--959 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.ExtraTreesRegressor Overfull \hbox (9.8201pt too wide) in paragraph at lines 960--962 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.KNeighborsClassifier Overfull \hbox (4.36026pt too wide) in paragraph at lines 962--964 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.LightGBMClassifier Overfull \hbox (5.80045pt too wide) in paragraph at lines 964--966 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.LightGBMRegressor Underfull \hbox (badness 10000) in paragraph at lines 966--968 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.LinearRegressor Overfull \hbox (37.3796pt too wide) in paragraph at lines 968--970 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.LogisticRegressionClassifier [553] Underfull \hbox (badness 10000) in paragraph at lines 970--972 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.OneHotEncoder Overfull \hbox (19.60023pt too wide) in paragraph at lines 974--976 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.RandomForestClassifier Overfull \hbox (21.04042pt too wide) in paragraph at lines 976--978 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.RandomForestRegressor Overfull \hbox (44.44995pt too wide) in paragraph at lines 978--980 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.RFClassifierSelectFromModel Overfull \hbox (45.89014pt too wide) in paragraph at lines 980--982 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.RFRegressorSelectFromModel Underfull \hbox (badness 10000) in paragraph at lines 982--984 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.SelectColumns Underfull \hbox (badness 10000) in paragraph at lines 984--986 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.SimpleImputer Overfull \hbox (31.26003pt too wide) in paragraph at lines 986--988 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.StackedEnsembleClassifier Overfull \hbox (32.70021pt too wide) in paragraph at lines 988--990 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.StackedEnsembleRegressor Underfull \hbox (badness 10000) in paragraph at lines 990--992 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.StandardScaler Underfull \hbox (badness 10000) in paragraph at lines 992--994 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.SVMClassifier Underfull \hbox (badness 10000) in paragraph at lines 994--995 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.SVMRegressor Underfull \hbox (badness 10000) in paragraph at lines 995--997 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.TargetEncoder Underfull \hbox (badness 10000) in paragraph at lines 997--999 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.TextFeaturizer Overfull \hbox (41.01964pt too wide) in paragraph at lines 999--1001 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.TimeSeriesBaselineEstimator Underfull \hbox (badness 10000) in paragraph at lines 1001--1002 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.Transformer Overfull \hbox (7.18016pt too wide) in paragraph at lines 1006--1008 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBas elineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 1008--1010 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBas elineBinaryPipeline Overfull \hbox (5.1799pt too wide) in paragraph at lines 1010--1012 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBas elineMulticlassPipeline Overfull \hbox (2.97968pt too wide) in paragraph at lines 1012--1014 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multicl assClassificationPipeline Underfull \hbox (badness 5460) in paragraph at lines 1015--1016 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Regress ionPipeline method\T1/ptm/m/n/10 ), Overfull \hbox (28.29964pt too wide) in paragraph at lines 1016--1018 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSer iesBaselineRegressionPipeline Overfull \hbox (32.41951pt too wide) in paragraph at lines 1018--1020 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSer iesBinaryClassificationPipeline Overfull \hbox (5.1998pt too wide) in paragraph at lines 1020--1022 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSer iesClassificationPipeline Overfull \hbox (46.86905pt too wide) in paragraph at lines 1022--1024 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSer iesMulticlassClassificationPipeline Underfull \hbox (badness 5022) in paragraph at lines 1024--1026 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSer iesRegressionPipeline Overfull \hbox (63.60025pt too wide) in paragraph at lines 1026--1028 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DateTimeFeaturizer Overfull \hbox (96.96011pt too wide) in paragraph at lines 1028--1030 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DelayedFeatureTransformer Overfull \hbox (51.43074pt too wide) in paragraph at lines 1030--1032 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DFSTransformer Overfull \hbox (39.46088pt too wide) in paragraph at lines 1032--1034 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DropColumns Overfull \hbox (56.69058pt too wide) in paragraph at lines 1034--1036 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DropNullColumns Overfull \hbox (14.90096pt too wide) in paragraph at lines 1036--1038 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.Imputer Overfull \hbox (48.78084pt too wide) in paragraph at lines 1038--1040 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.OneHotEncoder Overfull \hbox (60.21062pt too wide) in paragraph at lines 1040--1042 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.PerColumnImputer Overfull \hbox (104.44995pt too wide) in paragraph at lines 1042--1044 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.RFClassifierSelectFromModel Overfull \hbox (105.89014pt too wide) in paragraph at lines 1044--1046 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.RFRegressorSelectFromModel Overfull \hbox (42.68059pt too wide) in paragraph at lines 1046--1048 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.SelectColumns Overfull \hbox (42.12065pt too wide) in paragraph at lines 1048--1050 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.SimpleImputer Overfull \hbox (45.09074pt too wide) in paragraph at lines 1050--1052 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.StandardScaler Overfull \hbox (42.40079pt too wide) in paragraph at lines 1052--1054 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.TargetEncoder Overfull \hbox (40.81046pt too wide) in paragraph at 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[11] [12] [13] [14] [15] [16] [17] [18] Underfull \hbox (badness 10000) in paragraph at lines 1666--1668 []\T1/ptm/m/n/10 Be-cause the lead scor-ing la-bels are bi-nary, we will use \T 1/pcr/m/n/10 AutoMLSearch(X_train=X_train, [19] Overfull \vbox (0.52579pt too high) detected at line 1793 [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] Underfull \hbox (badness 10000) in paragraph at lines 2802--2804 []\T1/ptm/m/n/10 Be-cause the spam/ham la-bels are bi-nary, we will use \T1/pcr /m/n/10 AutoMLSearch(X_train=X_train, [31] Underfull \vbox (badness 10000) detected at line 2905 Overfull \vbox (2.88167pt too high) detected at line 2905 [32] [33] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3052 ...inxpxdimen]{{demos_text_input_19_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. 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Type H for immediate help. ... l.6791 ...user_guide_model_understanding_5_0}.svg} [86] [87] [88] [89] [90] [91] [92] Overfull \vbox (5.12581pt too high) detected at line 7528 [93] [94] Underfull \vbox (badness 10000) detected at line 7645 Underfull \vbox (badness 10000) detected at line 7645 [95] [96] Overfull \vbox (0.64119pt too high) detected at line 7741 [97] [98] [99] Underfull \vbox (badness 10000) detected at line 7922 Overfull \vbox (2.68169pt too high) detected at line 7922 [100] [101] [102] [103] [104] [105] [106] [107] [108] [109] Overfull \vbox (5.0835pt too high) detected at line 8706 [110] [111] Underfull \vbox (badness 10000) detected at line 8914 Overfull \vbox (2.68169pt too high) detected at line 8914 [112] Underfull \vbox (badness 10000) detected at line 8914 Overfull \vbox (2.68169pt too high) detected at line 8914 [113] [114] [115] [116] Chapter 5. [117] [118] [119] Underfull \hbox (badness 10000) in paragraph at lines 9380--9380 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y\T1/ptm/m/n/10 , \T1/ptm/m /it/10 prob-lem_type\T1/ptm/m/n/10 , \T1/ptm/m/it/10 prob-lem_configuration=Non e\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 9386--9388 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U data of shape Underfull \hbox (badness 10000) in paragraph at lines 9488--9491 []|\T1/ptm/m/n/10 An ex-cep-tion to be raised when pre- Underfull \hbox (badness 10000) in paragraph at lines 9495--9498 []|\T1/ptm/m/n/10 An ex-cep-tion to be raised when pre- [120] [121 <./inheritance-fbe44cceda2ddf610a01f1aa507eb6e4fc72d000.pdf> <./inhe ritance-535a4e702bd0e671be8566997bd5ef039bbdfa9b.pdf pdfTeX warning: pdflatex (file ./inheritance-535a4e702bd0e671be8566997bd5ef039b bdfa9b.pdf): PDF inclusion: multiple pdfs with page group included in a single page >] [122 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group included in a single page >] [124 <./inheritance-06a54fe6b4289495390aa08867f48d97abad225e.pdf> <./inherit ance-78ea6f6d94e77a3697e21be51f2911960c817a11.pdf pdfTeX warning: pdflatex (file ./inheritance-78ea6f6d94e77a3697e21be51f2911960c 817a11.pdf): PDF inclusion: multiple pdfs with page group included in a single page >] Underfull \hbox (badness 5316) in paragraph at lines 9793--9793 []\T1/ptm/m/it/10 X_train=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_train=None\T1/ ptm/m/n/10 , \T1/ptm/m/it/10 prob-lem_type=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ob- Underfull \hbox (badness 10000) in paragraph at lines 9793--9793 \T1/ptm/m/it/10 jec-tive=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 auto\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , \T1/ptm/ m/it/10 max_time=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 9793--9793 \T1/ptm/m/it/10 lowed_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 al-lowed_m odel_families=None\T1/ptm/m/n/10 , 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lowed_model_families=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 start _iteration_callback=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 9886--9886 \T1/ptm/m/it/10 add_result_callback=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 er-ror _callback=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ad-di- Underfull \hbox (badness 10000) in paragraph at lines 9886--9886 \T1/ptm/m/it/10 tional_objectives=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_ state=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_seed=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 9886--9886 \T1/ptm/m/it/10 bling=False\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_batches=None\T1 /ptm/m/n/10 , \T1/ptm/m/it/10 prob-lem_configuration=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 9886--9886 \T1/ptm/m/it/10 train_best_pipeline=True\T1/ptm/m/n/10 , \T1/ptm/m/it/10 pipeli ne_parameters=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 _en-sem- [126] Underfull \hbox (badness 7869) in paragraph at 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<./inheritance-8d604a1aefd9ffd7ffb1cf5ecbe80b11101218ef.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 23281--23281 []\T1/ptm/m/it/10 cols=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 smooth-ing=1.0\T1/p tm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23281--23281 \T1/ptm/m/it/10 han-dle_unknown=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 value\TS1/ptm /m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 han- Underfull \hbox (badness 10000) in paragraph at lines 23281--23281 \T1/ptm/m/it/10 dle_missing=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 value\TS1/ptm/m/i t/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 23281--23281 \T1/ptm/m/it/10 dom_state=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_seed=0\T 1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23433--23433 []\T1/ptm/m/it/10 cols=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 smooth-ing=1.0\T1/p tm/m/n/10 , \T1/ptm/m/it/10 han-dle_unknown=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 v alue\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 han- Underfull \hbox (badness 10000) in paragraph at lines 23433--23433 \T1/ptm/m/it/10 dle_missing=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 value\TS1/ptm/m/i t/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=None\T1/ptm/m/n/10 , \T1/p tm/m/it/10 ran-dom_seed=0\T1/ptm/m/n/10 , [237] [238] [239] Underfull \hbox (badness 10000) in paragraph at lines 23697--23697 []\T1/ptm/m/it/10 impute_strategies=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 de- Overfull \hbox (18.8531pt too wide) in paragraph at lines 23697--23697 \T1/ptm/m/it/10 fault_impute_strategy=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 most_fr equent\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23697--23697 \T1/ptm/m/it/10 ran-dom_state=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [240 <./inheritance-96dbc83b0f843e02bed062201f347bf0fc5d108d.pdf>] Overfull \hbox (3.23204pt too wide) in paragraph at lines 23842--23842 []\T1/ptm/m/it/10 impute_strategies=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 de-fau lt_impute_strategy=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 most_frequent\TS1/ptm/m/it /10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 7504) in paragraph at lines 23848--23854 []\T1/pcr/b/n/10 impute_strategies \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 dict\T1/ptm/ m/n/10 ) ^^U Col-umn and {^^Pim-pute_strategy^^Q: strat-egy, [241] [242] Underfull \hbox (badness 10000) in paragraph at lines 24083--24083 []\T1/ptm/m/it/10 categorical_impute_strategy=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 most_frequent\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24083--24083 \T1/ptm/m/it/10 cat-e-gor-i-cal_fill_value=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nu- Underfull \hbox (badness 10000) in paragraph at lines 24083--24083 \T1/ptm/m/it/10 meric_impute_strategy=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 mean\TS 1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nu- Underfull \hbox (badness 10000) in paragraph at lines 24083--24083 \T1/ptm/m/it/10 meric_fill_value=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_s tate=None\T1/ptm/m/n/10 , [243 <./inheritance-17028dec39e412cabdb3c481c485594afcac24eb.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 24228--24228 []\T1/ptm/m/it/10 categorical_impute_strategy=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 most_frequent\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 cat-e-gor-i-ca l_fill_value=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24228--24228 \T1/ptm/m/it/10 nu-meric_impute_strategy=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 mean \TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nu-meric_fill_value=None\T1/ ptm/m/n/10 , \T1/ptm/m/it/10 ran- [244] [245] Overfull \hbox (62.0307pt too wide) in paragraph at lines 24429--24432 [] [246 <./inheritance-7375729f4e1a4b36a6cad31f96bef0b19a665369.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 24472--24472 []\T1/ptm/m/it/10 impute_strategy=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 most_freque nt\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24617--24617 []\T1/ptm/m/it/10 impute_strategy=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 most_freque nt\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 fill_value=None\T1/ptm/m/n /10 , \T1/ptm/m/it/10 ran- [247] [248] [249 <./inheritance-786ff7212d924edb5f9d45ffbd795ca3f835daf5.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 24852--24852 []\T1/ptm/m/it/10 random_state=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [250] [251] [252 <./inheritance-1bded83cf7ac5a6077d8a2ce2b0aa7d8f448a757.pdf>] Overfull \hbox (19.00412pt too wide) in paragraph at lines 25214--25214 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25214--25214 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25214--25214 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 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tors=10\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25757--25757 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 per-cent_feature s=0.5\T1/ptm/m/n/10 , [257] [258] [259 <./inheritance-03a077c37eace4414198f2e75ceb68444b442889.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 25996--25996 []\T1/ptm/m/it/10 pct_null_threshold=1.0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 26141--26141 []\T1/ptm/m/it/10 pct_null_threshold=1.0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-do m_state=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_seed=0\T1/ptm/m/n/10 , [260] [261] [262 <./inheritance-50f1d6ee247e6d508879a6944ed3d97bfeb8ca6c.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 26366--26366 []\T1/ptm/m/it/10 features_to_extract=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26366--26366 \T1/ptm/m/it/10 en-code_as_categories=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26366--26366 \T1/ptm/m/it/10 ran-dom_state=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [263] [264] [265] Underfull \hbox (badness 10000) in paragraph at lines 26776--26776 []\T1/ptm/m/it/10 random_state=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [266 <./inheritance-7f865ff607fe6a36dbaf4815a393b468bcd003d6.pdf>] [267] [268] Underfull \hbox (badness 10000) in paragraph at lines 27151--27151 []\T1/ptm/m/it/10 max_delay=2\T1/ptm/m/n/10 , \T1/ptm/m/it/10 de- Underfull \hbox (badness 10000) in paragraph at lines 27151--27151 \T1/ptm/m/it/10 lay_features=True\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27151--27151 \T1/ptm/m/it/10 de-lay_target=True\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27151--27151 \T1/ptm/m/it/10 gap=1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 27151--27151 \T1/ptm/m/it/10 dom_state=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27151--27151 \T1/ptm/m/it/10 ran-dom_seed=0\T1/ptm/m/n/10 , [269 <./inheritance-919c371df0a3efec459c4ac709a8087c7a3199dd.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 27296--27296 []\T1/ptm/m/it/10 max_delay=2\T1/ptm/m/n/10 , \T1/ptm/m/it/10 de-lay_features=T rue\T1/ptm/m/n/10 , \T1/ptm/m/it/10 de- Underfull \hbox (badness 10000) in paragraph at lines 27296--27296 \T1/ptm/m/it/10 lay_target=True\T1/ptm/m/n/10 , \T1/ptm/m/it/10 gap=1\T1/ptm/m/ n/10 , \T1/ptm/m/it/10 ran-dom_state=None\T1/ptm/m/n/10 , [270] [271] [272 <./inheritance-4826f98d841e60352f8759b1db62ac1965802ba9.pdf>] [273] [274] [275 <./inheritance-1a2194a5f84c1cf6d42e86e2c93c638b9bd9d42f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 28047--28047 []\T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , \T1/ptm/m/it/10 eta=0.03\T1/p tm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28047--28047 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , \T1/ptm/m/it/10 boot- Underfull 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Underfull \hbox (badness 10000) in paragraph at lines 28418--28418 \T1/ptm/m/it/10 ran-dom_seed=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28418--28418 \T1/ptm/m/it/10 penalty=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 elasticnet\TS1/ptm/m/ it/10 '\T1/ptm/m/n/10 , [279 <./inheritance-e87af3aaecba220c1291c71a603ae6bffa4eb8f8.pdf>] [280] [281] Underfull \hbox (badness 10000) in paragraph at lines 28785--28785 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28785--28785 \T1/ptm/m/it/10 max_features=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 auto\TS1/ptm/m/i t/10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28785--28785 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28785--28785 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (10.18385pt too wide) in paragraph at lines 28785--28785 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28785--28785 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 28785--28785 \T1/ptm/m/it/10 dom_state=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [282 <./inheritance-71e221308ae9e5a8e690b75e51411e7f2826aa76.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 28949--28949 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_features =\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 auto\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/p tm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28949--28949 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , \T1/ptm/m/it/10 min_weight_ fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28949--28949 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=None\T 1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_seed=0\T1/ptm/m/n/10 , [283] [284] Underfull \hbox (badness 10000) in paragraph at lines 29152--29152 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 6510) in paragraph at lines 29152--29152 \T1/ptm/m/it/10 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=None\T1/ptm/m/n /10 , Underfull \hbox (badness 10000) in paragraph at lines 29152--29152 \T1/ptm/m/it/10 ran-dom_seed=0\T1/ptm/m/n/10 , [285 <./inheritance-abc0dc2e5f5762f7f112cac68f9a02e8fe19b03e.pdf>] [286] [287] Underfull \hbox (badness 10000) in paragraph at lines 29519--29519 []\T1/ptm/m/it/10 boosting_type=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 gbdt\TS1/ptm/ m/it/10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 29519--29519 \T1/ptm/m/it/10 learn-ing_rate=0.1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 29519--29519 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 29519--29519 \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 29519--29519 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 29519--29519 \T1/ptm/m/it/10 dom_state=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 29519--29519 \T1/ptm/m/it/10 dom_seed=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 bag- Underfull \hbox (badness 10000) in paragraph at lines 29519--29519 \T1/ptm/m/it/10 ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/10 bag- [288 <./inheritance-10696699a4a9637d6fae1d83042aab80219fd4e7.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 29697--29697 \T1/ptm/m/it/10 max_depth=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 num_leaves=31\T1/pt m/m/n/10 , \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 6792) in paragraph at lines 29697--29697 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=None\T 1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_seed=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 b ag- [289] [290] Underfull \hbox (badness 10000) in paragraph at lines 29900--29900 []\T1/ptm/m/it/10 penalty=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 l2\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 29900--29900 \T1/ptm/m/it/10 C=1.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 29900--29900 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , Overfull \hbox (10.11395pt too wide) in paragraph at lines 29900--29900 \T1/ptm/m/it/10 multi_class=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 auto\TS1/ptm/m/it /10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 29900--29900 \T1/ptm/m/it/10 solver=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 lbfgs\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 29900--29900 \T1/ptm/m/it/10 ran- Overfull \hbox (4.71446pt too wide) in paragraph at lines 29900--29900 \T1/ptm/m/it/10 dom_state=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 29900--29900 \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 29900--29900 \T1/ptm/m/it/10 dom_seed=0\T1/ptm/m/n/10 , [291 <./inheritance-04efa8b974f3c98fe6222d736b5bc5b44c782a07.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 30064--30064 []\T1/ptm/m/it/10 penalty=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 l2\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 C=1.0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs= - 1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30064--30064 \T1/ptm/m/it/10 multi_class=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 auto\TS1/ptm/m/it /10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 solver=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 lbfgs\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [292] [293] Underfull \hbox (badness 10000) in paragraph at lines 30267--30267 []\T1/ptm/m/it/10 eta=0.1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/ n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30267--30267 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30267--30267 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 30267--30267 \T1/ptm/m/it/10 dom_state=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [294 <./inheritance-6ebb88fe8608ee2cbd6a182146f9214b68ccc2ac.pdf>] [295] [296] [297 <./inheritance-7e535c5b1c9a51233577159360851cea6f489c8b.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 30648--30648 []\T1/ptm/m/it/10 strategy=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 mode\TS1/ptm/m/it/ 10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 30648--30648 \T1/ptm/m/it/10 dom_state=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [298] Underfull \hbox (badness 10000) in paragraph at lines 30822--30822 []\T1/ptm/m/it/10 strategy=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 mode\TS1/ptm/m/it/ 10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=None\T1/ptm/m/n/10 , \T1/ptm /m/it/10 ran-dom_seed=0\T1/ptm/m/n/10 , [299] [300] Overfull \hbox (7.27411pt too wide) in paragraph at lines 31042--31042 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31042--31042 \T1/ptm/m/it/10 fi- Overfull \hbox (1.16414pt too wide) in paragraph at lines 31042--31042 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31042--31042 \T1/ptm/m/it/10 cv=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31042--31042 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 31042--31042 \T1/ptm/m/it/10 dom_state=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31042--31042 \T1/ptm/m/it/10 ran-dom_seed=0\T1/ptm/m/n/10 , [301 <./inheritance-8ed6b0880aaf6d309d54b6f404ba2361688fb2b4.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 31206--31206 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 fi-nal_e stimator=None\T1/ptm/m/n/10 , [302] [303] [304 <./inheritance-3b48731c5a00dc02fd82013d9f613d93e931ecbc.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 31465--31465 []\T1/ptm/m/it/10 criterion=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 gini\TS1/ptm/m/it /10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31465--31465 \T1/ptm/m/it/10 max_features=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 auto\TS1/ptm/m/i t/10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31465--31465 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31465--31465 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (22.18385pt too wide) in paragraph at lines 31465--31465 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31465--31465 \T1/ptm/m/it/10 ran-dom_state=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31465--31465 \T1/ptm/m/it/10 ran-dom_seed=0\T1/ptm/m/n/10 , [305] Underfull \hbox (badness 10000) in paragraph at lines 31629--31629 []\T1/ptm/m/it/10 criterion=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 gini\TS1/ptm/m/it /10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_features=\TS1/ptm/m/it/10 '\T1/ptm/m/ it/10 auto\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm /m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31629--31629 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , \T1/ptm/m/it/10 min_weight_ fraction_leaf=0.0\T1/ptm/m/n/10 , [306] [307 <./inheritance-e1a8ceaf0ccaac93fe8aeea725d77adc4c84ba2e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 31832--31832 []\T1/ptm/m/it/10 n_neighbors=5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 31832--31832 \T1/ptm/m/it/10 weights=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 uniform\TS1/ptm/m/it/ 10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 al-go- Underfull \hbox (badness 7168) in paragraph at lines 31832--31832 \T1/ptm/m/it/10 p=2\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=None\T1/ptm/m /n/10 , [308] Underfull \hbox (badness 10000) in paragraph at lines 31996--31996 []\T1/ptm/m/it/10 n_neighbors=5\T1/ptm/m/n/10 , \T1/ptm/m/it/10 weights=\TS1/pt m/m/it/10 '\T1/ptm/m/it/10 uniform\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/ it/10 al-go-rithm=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 auto\TS1/ptm/m/it/10 '\T1/p tm/m/n/10 , [309] [310 <./inheritance-d8b05ca7817ca6ac0072b477b9dd224a8b395583.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 32199--32199 \T1/ptm/m/it/10 prob-a-bil-ity=True\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 32199--32199 \T1/ptm/m/it/10 dom_state=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_seed=0\T 1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 32363--32363 []\T1/ptm/m/it/10 C=1.0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ker-nel=\TS1/ptm/m/it/1 0 '\T1/ptm/m/it/10 rbf\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 gamma= \TS1/ptm/m/it/10 '\T1/ptm/m/it/10 scale\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/p tm/m/it/10 prob-a-bil-ity=True\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [311] [312] [313 <./inheritance-5ad73fda281d43d5378c26d8319ee28fef64cd14.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 32676--32676 []\T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , \T1/ptm/m/it/10 eta=0.03\T1/p tm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 32676--32676 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , \T1/ptm/m/it/10 boot- Underfull \hbox (badness 10000) in paragraph at lines 32676--32676 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 32676--32676 \T1/ptm/m/it/10 ran-dom_state=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [314] Underfull \hbox (badness 10000) in paragraph at lines 32844--32844 []\T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , \T1/ptm/m/it/10 eta=0.03\T1/p tm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , \T1/ptm/m/it/10 boot- Underfull \hbox (badness 10000) in paragraph at lines 32844--32844 \T1/ptm/m/it/10 strap_type=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 silent=False\T1 /ptm/m/n/10 , \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [315] [316] Underfull \hbox (badness 10000) in paragraph at lines 33047--33047 []\T1/ptm/m/it/10 alpha=0.5\T1/ptm/m/n/10 , \T1/ptm/m/it/10 l1_ratio=0.5\T1/ptm /m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 33047--33047 \T1/ptm/m/it/10 max_iter=1000\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor- Underfull \hbox (badness 10000) in paragraph at lines 33047--33047 \T1/ptm/m/it/10 mal-ize=False\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 33047--33047 \T1/ptm/m/it/10 dom_state=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [317 <./inheritance-60cfa8eedb90e4a053500b64a9415c8942f1be18.pdf>] [318] [319] Underfull \hbox (badness 10000) in paragraph at lines 33414--33414 []\T1/ptm/m/it/10 fit_intercept=True\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- Underfull \hbox (badness 10000) in paragraph at lines 33414--33414 \T1/ptm/m/it/10 ize=False\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n /10 , \T1/ptm/m/it/10 ran- [320 <./inheritance-f5b088a49ce22dfd45c59341b12823d231773a0c.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 33578--33578 []\T1/ptm/m/it/10 fit_intercept=True\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal-iz e=False\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , \T1/ptm/m/it /10 ran- [321] [322] Underfull \hbox (badness 10000) in paragraph at lines 33781--33781 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 33781--33781 \T1/ptm/m/it/10 max_features=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 auto\TS1/ptm/m/i t/10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 33781--33781 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 33781--33781 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (4.18385pt too wide) in paragraph at lines 33781--33781 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 33781--33781 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 33781--33781 \T1/ptm/m/it/10 dom_state=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [323 <./inheritance-a22c3f24d9b04641643c49ac0e8e2bcbd8acf180.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 33945--33945 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_features =\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 auto\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/p tm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 33945--33945 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , \T1/ptm/m/it/10 min_weight_ fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 33945--33945 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=None\T 1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_seed=0\T1/ptm/m/n/10 , [324] [325] Underfull \hbox (badness 10000) in paragraph at lines 34148--34148 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , [326 <./inheritance-c48dc838bc60015410d4086679b2a20fffde8c26.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 34312--34312 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\ T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [327] [328] Underfull \hbox (badness 10000) in paragraph at lines 34515--34515 []\T1/ptm/m/it/10 eta=0.1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/ n/10 , Underfull \hbox (badness 10000) in paragraph at lines 34515--34515 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 34515--34515 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 34515--34515 \T1/ptm/m/it/10 dom_state=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [329 <./inheritance-9a0f6555b588a7b1c5351386143aa958422eca6e.pdf>] [330] [331] Underfull \hbox (badness 10000) in paragraph at lines 34896--34896 []\T1/ptm/m/it/10 strategy=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 mean\TS1/ptm/m/it/ 10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 34896--34896 \T1/ptm/m/it/10 dom_state=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [332 <./inheritance-51c0f3429ee87e9685485ae0ef1b1a32161f726f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 35063--35063 []\T1/ptm/m/it/10 strategy=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 mean\TS1/ptm/m/it/ 10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=None\T1/ptm/m/n/10 , \T1/ptm /m/it/10 ran-dom_seed=0\T1/ptm/m/n/10 , [333] [334] [335 <./inheritance-ce2c8c1dd2ba365ebbf03097f5d4cbfb6569c17d.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 35283--35283 []\T1/ptm/m/it/10 gap=1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 35283--35283 \T1/ptm/m/it/10 dom_state=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 35283--35283 \T1/ptm/m/it/10 ran-dom_seed=0\T1/ptm/m/n/10 , [336] [337] [338] Overfull \hbox (1.27411pt too wide) in paragraph at lines 35670--35670 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 35670--35670 \T1/ptm/m/it/10 fi- Underfull \hbox (badness 10000) in paragraph at lines 35670--35670 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 35670--35670 \T1/ptm/m/it/10 ran-dom_state=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 35670--35670 \T1/ptm/m/it/10 ran-dom_seed=0\T1/ptm/m/n/10 , [339 <./inheritance-2a4598667c73b4346dbd4865edbd7df84932696e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 35834--35834 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 fi-nal_e stimator=None\T1/ptm/m/n/10 , [340] [341] [342 <./inheritance-edd0ee4096c6db6edfc11e3e227ecf5e22d8f1da.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 36093--36093 []\T1/ptm/m/it/10 criterion=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 mse\TS1/ptm/m/it/ 10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 36093--36093 \T1/ptm/m/it/10 max_features=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 auto\TS1/ptm/m/i t/10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 36093--36093 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 36093--36093 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (16.18385pt too wide) in paragraph at lines 36093--36093 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , [343] Underfull \hbox (badness 10000) in paragraph at lines 36257--36257 []\T1/ptm/m/it/10 criterion=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 mse\TS1/ptm/m/it/ 10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_features=\TS1/ptm/m/it/10 '\T1/ptm/m/i t/10 auto\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/ m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 36257--36257 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , \T1/ptm/m/it/10 min_weight_ fraction_leaf=0.0\T1/ptm/m/n/10 , [344] [345 <./inheritance-cd29f096fd4e093ddd0fc6634c68918845120f9f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 36460--36460 []\T1/ptm/m/it/10 boosting_type=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 gbdt\TS1/ptm/ m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 learn- Underfull \hbox (badness 10000) in paragraph at lines 36460--36460 \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 36460--36460 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 36460--36460 \T1/ptm/m/it/10 dom_state=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 36460--36460 \T1/ptm/m/it/10 dom_seed=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 bag- Underfull \hbox (badness 10000) in paragraph at lines 36460--36460 \T1/ptm/m/it/10 ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/10 bag- [346] Underfull \hbox (badness 10000) in paragraph at lines 36638--36638 []\T1/ptm/m/it/10 boosting_type=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 gbdt\TS1/ptm/ m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 learn-ing_rate=0.1\T1/ptm/m/n/10 , \T 1/ptm/m/it/10 n_estimators=20\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 36638--36638 \T1/ptm/m/it/10 max_depth=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 num_leaves=31\T1/pt m/m/n/10 , \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 36638--36638 \T1/ptm/m/it/10 n_jobs=- 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=None\T 1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_seed=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 b ag- [347] [348] Underfull \hbox (badness 7362) in paragraph at lines 36841--36841 []\T1/ptm/m/it/10 C=1.0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ker-nel=\TS1/ptm/m/it/1 0 '\T1/ptm/m/it/10 rbf\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 gamma= \TS1/ptm/m/it/10 '\T1/ptm/m/it/10 scale\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 5345) in paragraph at lines 36841--36841 \T1/ptm/m/it/10 ran-dom_state=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_seed =0\T1/ptm/m/n/10 , [349 <./inheritance-f405f0df2444abee0fe880bf121519e2cb092a82.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 37005--37005 []\T1/ptm/m/it/10 C=1.0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ker-nel=\TS1/ptm/m/it/1 0 '\T1/ptm/m/it/10 rbf\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 gamma= \TS1/ptm/m/it/10 '\T1/ptm/m/it/10 scale\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , \T1/p tm/m/it/10 ran-dom_state=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [350] [351] Overfull \hbox (11.72247pt too wide) in paragraph at lines 37269--37271 []|[][]\T1/pcr/m/sl/10 get_prediction_vs_actual_over_time_data[][]| Underfull \hbox (badness 10000) in paragraph at lines 37272--37275 []|\T1/ptm/m/n/10 Get the data needed for the pre-dic- [352 <./inheritance-26f53c29ccd8e82c3ee880e4d04f3f7d657e3f54.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 37311--37311 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n /10 , \T1/ptm/m/it/10 nor-mal- Underfull \hbox (badness 6526) in paragraph at lines 37325--37327 []\T1/pcr/b/n/10 normalize_method \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 {\TS1/pcr/m/s l/10 '\T1/pcr/m/sl/10 true\TS1/pcr/m/sl/10 '\T1/pcr/m/sl/10 , \TS1/pcr/m/sl/10 '\T1/pcr/m/sl/10 pred\TS1/pcr/m/sl/10 '\T1/pcr/m/sl/10 , \TS1/pcr/m/sl/10 '\T1/ pcr/m/sl/10 all\TS1/pcr/m/sl/10 '\T1/pcr/m/sl/10 , None}\T1/ptm/m/n/10 ) ^^U No r-mal-iza-tion Underfull \hbox (badness 10000) in paragraph at lines 37348--37348 []\T1/ptm/m/it/10 conf_mat\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- [353] Overfull \hbox (137.00916pt too wide) in paragraph at lines 37453--37453 [] Underfull \hbox (badness 10000) in paragraph at lines 37453--37453 Overfull \hbox (12.23114pt too wide) in paragraph at lines 37454--37454 [] Underfull \hbox (badness 10000) in paragraph at lines 37454--37454 Underfull \hbox (badness 10000) in paragraph at lines 37492--37492 \T1/ptm/m/it/10 tive\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_repeats=5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 37492--37492 \T1/ptm/m/it/10 n_jobs=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 37492--37492 \T1/ptm/m/it/10 dom_state=None\T1/ptm/m/n/10 , [354] Underfull \hbox (badness 10000) in paragraph at lines 37594--37594 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 37594--37594 \T1/ptm/m/it/10 X\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y\T1/ptm/m/n/10 , [355] Underfull \hbox (badness 10000) in paragraph at lines 37631--37631 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , \T1/ptm/m/it/10 X\T1/ptm/m/n/10 , \T 1/ptm/m/it/10 fea-tures\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 37716--37716 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_pred\T1/ptm/m/n/10 , \T1/ptm/m/it/10 out- [356] [357] Underfull \hbox (badness 10000) in paragraph at lines 37953--37953 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_pred_proba\T1/ptm/m/ n/10 , \T1/ptm/m/it/10 cus- Underfull \hbox (badness 10000) in paragraph at lines 37953--37953 \T1/ptm/m/it/10 tom_class_names=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ti- [358] Underfull \hbox (badness 10000) in paragraph at lines 37990--37990 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_pred\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- Underfull \hbox (badness 10000) in paragraph at lines 37990--37990 \T1/ptm/m/it/10 ize_method=\TS1/ptm/m/it/10 '\T1/ptm/m/it/10 true\TS1/ptm/m/it/ 10 '\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ti- Underfull \hbox (badness 6526) in paragraph at lines 38007--38009 []\T1/pcr/b/n/10 normalize_method \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 {\TS1/pcr/m/s l/10 '\T1/pcr/m/sl/10 true\TS1/pcr/m/sl/10 '\T1/pcr/m/sl/10 , \TS1/pcr/m/sl/10 '\T1/pcr/m/sl/10 pred\TS1/pcr/m/sl/10 '\T1/pcr/m/sl/10 , \TS1/pcr/m/sl/10 '\T1/ pcr/m/sl/10 all\TS1/pcr/m/sl/10 '\T1/pcr/m/sl/10 , None}\T1/ptm/m/n/10 ) ^^U No r-mal-iza-tion [359] Underfull \hbox (badness 10000) in paragraph at lines 38071--38071 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , \T1/ptm/m/it/10 X\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 38071--38071 \T1/ptm/m/it/10 y\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ob-jec-tive\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 38112--38112 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_pred\T1/ptm/m/n/10 , \T1/ptm/m/it/10 out- [360] Underfull \hbox (badness 10000) in paragraph at lines 38188--38188 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , \T1/ptm/m/it/10 X\T1/ptm/m/n/10 , \T 1/ptm/m/it/10 fea-tures\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 38188--38188 \T1/ptm/m/it/10 class_label=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 38248--38248 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_components=2\T1/ptm/m/n/1 0 , \T1/ptm/m/it/10 per-plex-ity=30.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 38248--38248 \T1/ptm/m/it/10 learn-ing_rate=200.0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 met-ric=\T S1/ptm/m/it/10 '\T1/ptm/m/it/10 euclidean\TS1/ptm/m/it/10 '\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 38266--38268 []\T1/pcr/b/n/10 Larger datasets usually require a larger perplexity. 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[511] Underfull \hbox (badness 10000) in paragraph at lines 54807--54809 []\T1/ptm/m/n/10 Ad-justed \T1/pcr/m/n/10 explain_prediction\T1/ptm/m/n/10 , \T 1/pcr/m/n/10 explain_predictions \T1/ptm/m/n/10 and Underfull \hbox (badness 10000) in paragraph at lines 54827--54829 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 is_bounded_like_percentage \T1/ptm/m/n/10 prop-erty for ob-jec-tives. If true, the [512] [513] [514] [515] Underfull \hbox (badness 10000) in paragraph at lines 55350--55352 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 visualize_decision_tree \T1/ptm/m/n/10 fo r tree vi-su-al-iza- Underfull \hbox (badness 10000) in paragraph at lines 55350--55352 \T1/ptm/m/n/10 tion with \T1/pcr/m/n/10 decision_tree_data_from_estimator \T1/p tm/m/n/10 and Underfull \hbox (badness 10000) in paragraph at lines 55362--55364 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 graph_prediction_vs_actual_over_time \T1/ ptm/m/n/10 and [516] Underfull \hbox (badness 10000) in paragraph at lines 55414--55416 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 TimeSeriesBinaryClassificationPipeline \T 1/ptm/m/n/10 and Underfull \hbox (badness 5475) in paragraph at lines 55426--55428 []\T1/ptm/m/n/10 Up-date \T1/pcr/m/n/10 AutoMLSearch \T1/ptm/m/n/10 con-struc-t or to take train-ing data in-stead of \T1/pcr/m/n/10 search \T1/ptm/m/n/10 and Underfull \hbox (badness 10000) in paragraph at lines 55448--55450 []\T1/ptm/m/n/10 Fix Au-toML not pass-ing CV folds to \T1/pcr/m/n/10 DefaultDat aChecks \T1/ptm/m/n/10 for us-age by [517] Underfull \hbox (badness 10000) in paragraph at lines 55526--55528 []\T1/ptm/m/n/10 Move data split-ters from \T1/pcr/m/n/10 evalml.automl.data_sp litters \T1/ptm/m/n/10 to \T1/pcr/m/n/10 evalml. 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Underfull \hbox (badness 10000) in paragraph at lines 55580--55582 []\T1/ptm/m/n/10 Up-date \T1/pcr/m/n/10 AutoMLSearch \T1/ptm/m/n/10 con-struc-t or to take train-ing data in-stead of \T1/pcr/m/n/10 search \T1/ptm/m/n/10 and [518] [519] Underfull \hbox (badness 10000) in paragraph at lines 55861--55863 []\T1/ptm/m/n/10 Re-named \T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 to \T1/pcr /m/n/10 problem_types \T1/ptm/m/n/10 in \T1/pcr/m/n/10 RegressionObjective\T1/p tm/m/n/10 , Underfull \hbox (badness 7777) in paragraph at lines 55861--55863 \T1/pcr/m/n/10 BinaryClassificationObjective\T1/ptm/m/n/10 , and \T1/pcr/m/n/10 MulticlassClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 55877--55879 []\T1/ptm/m/n/10 Added stacked en-sem-ble com-po-nent classes (\T1/pcr/m/n/10 S tackedEnsembleClassifier\T1/ptm/m/n/10 , [520] Underfull \hbox (badness 10000) in paragraph at lines 55901--55903 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 HighVarianceCVDataCheck \T1/ptm/m/n/10 an d re-placed syn-ony-mous warn-ing in Underfull \hbox (badness 10000) in paragraph at lines 55921--55923 []\T1/ptm/m/n/10 Added cv_folds to \T1/pcr/m/n/10 ClassImbalanceDataCheck \T1/p tm/m/n/10 and added this check to [521] Underfull \hbox (badness 10000) in paragraph at lines 56127--56129 []\T1/pcr/m/n/10 max_pipelines \T1/ptm/m/n/10 pa-ram-e-ter has been re-moved fr om \T1/pcr/m/n/10 AutoMLSearch\T1/ptm/m/n/10 . Please use [522] Underfull \hbox (badness 10000) in paragraph at lines 56235--56237 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 solver \T1/ptm/m/n/10 and \T1/pcr/m/n/10 multi_class \T1/ptm/m/n/10 as named ar-gu-ments to [523] [524] Underfull \hbox (badness 10000) in paragraph at lines 56501--56505 [] [525] [526] Underfull \hbox (badness 10000) in paragraph at lines 56770--56772 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 _compute_shap_values \T1/ptm/m/n/10 and \ T1/pcr/m/n/10 normalize_values \T1/ptm/m/n/10 to \T1/pcr/m/n/10 pipelines/ [527] Underfull \hbox (badness 5475) in paragraph at lines 56804--56806 []\T1/ptm/m/n/10 Added uni-ver-sal er-ror for call-ing \T1/pcr/m/n/10 predict\T 1/ptm/m/n/10 , \T1/pcr/m/n/10 predict_proba\T1/ptm/m/n/10 , \T1/pcr/m/n/10 tran sform\T1/ptm/m/n/10 , and Underfull \hbox (badness 10000) in paragraph at lines 56808--56810 []\T1/ptm/m/n/10 Made \T1/pcr/m/n/10 TextFeaturizer \T1/ptm/m/n/10 com-po-nent and pip de-pen-den-cies \T1/pcr/m/n/10 featuretools \T1/ptm/m/n/10 and Underfull \hbox (badness 10000) in paragraph at lines 56838--56840 []\T1/ptm/m/n/10 Moved \T1/pcr/m/n/10 evalml.model_families.list_model_families \T1/ptm/m/n/10 to \T1/pcr/m/n/10 evalml. [528] Underfull \hbox (badness 10000) in paragraph at lines 56916--56918 []\T1/pcr/m/n/10 evalml.model_families.list_model_families \T1/ptm/m/n/10 has b een moved to \T1/pcr/m/n/10 evalml. Underfull \hbox (badness 10000) in paragraph at lines 56968--56970 []\T1/ptm/m/n/10 Deleted static pipelines and refac-tored tests in-volv-ing sta tic pipelines, re-moved [529] Underfull \hbox (badness 10000) in paragraph at lines 57078--57080 []\T1/ptm/m/n/10 Added sup-port for \T1/pcr/m/n/10 categories\T1/ptm/m/n/10 , \ T1/pcr/m/n/10 handle_error\T1/ptm/m/n/10 , and \T1/pcr/m/n/10 drop \T1/ptm/m/n/ 10 pa-ram-e-ters in [530] Underfull \hbox (badness 10000) in paragraph at lines 57178--57180 []\T1/ptm/m/n/10 Refac-tor \T1/pcr/m/n/10 handle_components \T1/ptm/m/n/10 to \ T1/pcr/m/n/10 handle_components_class\T1/ptm/m/n/10 , stan-dard-ize to Underfull \hbox (badness 10000) in paragraph at lines 57186--57188 []\T1/ptm/m/n/10 Re-placed \T1/pcr/m/n/10 AutoClassificationSearch \T1/ptm/m/n/ 10 and \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 with Underfull \hbox (badness 10000) in paragraph at lines 57230--57232 []\T1/ptm/m/n/10 Re-placed \T1/pcr/m/n/10 AutoClassificationSearch \T1/ptm/m/n/ 10 and \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 with Underfull \hbox (badness 5374) in paragraph at lines 57248--57250 []\T1/ptm/m/n/10 Re-name \T1/pcr/m/n/10 handle_component \T1/ptm/m/n/10 to \T1/ pcr/m/n/10 handle_component_class\T1/ptm/m/n/10 . Now stan-dard-izes to [531] Underfull \hbox (badness 10000) in paragraph at lines 57356--57358 []\T1/ptm/m/n/10 Up-dated Au-to-Base with \T1/pcr/m/n/10 data_checks \T1/ptm/m/ n/10 pa-ram-e-ter, re-moved pre-vi-ous [532] [533] [534] Underfull \hbox (badness 10000) in paragraph at lines 57658--57660 []\T1/ptm/m/n/10 Re-named \T1/pcr/m/n/10 pipeline.feature_importance_graph \T1/ ptm/m/n/10 to \T1/pcr/m/n/10 pipeline. Overfull \hbox (32.69456pt too wide) in paragraph at lines 57666--57668 []\T1/ptm/m/n/10 Re-named \T1/pcr/m/n/10 MultiClassificationObjective \T1/ptm/m /n/10 to \T1/pcr/m/n/10 MulticlassClassificationObjective\T1/ptm/m/n/10 , [535] Underfull \hbox (badness 10000) in paragraph at lines 57838--57840 []\T1/pcr/m/n/10 pipeline.feature_importance_graph \T1/ptm/m/n/10 has been re-n amed to \T1/pcr/m/n/10 pipeline. Underfull \hbox (badness 10000) in paragraph at lines 57860--57862 []\T1/ptm/m/n/10 Re-named \T1/pcr/m/n/10 PipelineBase.name \T1/ptm/m/n/10 as \T 1/pcr/m/n/10 PipelineBase.summary \T1/ptm/m/n/10 and re-de-fined [536] Underfull \hbox (badness 10000) in paragraph at lines 57912--57914 []\T1/ptm/m/n/10 Refac-tored \T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 for pi pelines and com-po-nents into Underfull \hbox (badness 10000) in paragraph at lines 57916--57918 []\T1/ptm/m/n/10 Moved \T1/pcr/m/n/10 pipelines/utils.save_pipeline \T1/ptm/m/n /10 and \T1/pcr/m/n/10 pipelines/utils. 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\T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mo deBaselineMulticlassPipeline Overfull \hbox (32.97968pt too wide) in paragraph at lines 869--871 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mu lticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 872--873 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Re gressionPipeline [552] Overfull \hbox (58.29964pt too wide) in paragraph at lines 873--875 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ti meSeriesBaselineRegressionPipeline Overfull \hbox (62.41951pt too wide) in paragraph at lines 875--877 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ti meSeriesBinaryClassificationPipeline Overfull \hbox (35.1998pt too wide) in paragraph at lines 877--879 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ti meSeriesClassificationPipeline Overfull \hbox (76.86905pt too wide) in paragraph at lines 879--881 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ti meSeriesMulticlassClassificationPipeline Overfull \hbox (23.86009pt too wide) in paragraph at lines 881--883 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ti meSeriesRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 883--885 []\T1/pcr/m/n/10 describe_pipeline() Underfull \hbox (badness 10000) in paragraph at lines 883--885 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.AutoMLSearch method\T1/ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 885--887 []\T1/pcr/m/n/10 detect_problem_type() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-u le Underfull \hbox (badness 10000) in paragraph at lines 887--888 []\T1/pcr/m/n/10 DFSTransformer \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 888--890 []\T1/pcr/m/n/10 drop_nan_target_rows() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod- ule Underfull \hbox (badness 10000) in paragraph at lines 892--893 []\T1/pcr/m/n/10 DropNullColumns \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 896--898 []\T1/pcr/m/n/10 ElasticNetClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 898--900 []\T1/pcr/m/n/10 ElasticNetRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 900--902 []\T1/pcr/m/n/10 EnsembleMissingPipelinesError \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 903--905 []\T1/pcr/m/n/10 explain_predictions() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-u le Overfull \hbox (31.08055pt too wide) in paragraph at lines 903--905 \T1/ptm/m/it/10 evalml.model_understanding.prediction_explanations\T1/ptm/m/n/1 0 ), Overfull \hbox (45.20041pt too wide) in paragraph at lines 905--907 \T1/ptm/m/it/10 ule evalml.model_understanding.prediction_explanations\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 908--910 []\T1/pcr/m/n/10 ExtraTreesClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 910--912 []\T1/pcr/m/n/10 ExtraTreesRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 919--920 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Baselin eBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 920--922 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Baselin eMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 922--924 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Baselin eRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 924--926 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BinaryC lassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 935--937 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.ComponentBase Overfull \hbox (3.60025pt too wide) in paragraph at lines 937--939 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.DateTimeFeaturizer Overfull \hbox (14.53993pt too wide) in paragraph at lines 939--941 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.DecisionTreeClassifier Overfull \hbox (15.98012pt too wide) in paragraph at lines 941--943 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.DecisionTreeRegressor Overfull \hbox (36.96011pt too wide) in paragraph at lines 943--945 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.DelayedFeatureTransformer Underfull \hbox (badness 10000) in paragraph at lines 945--947 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.DFSTransformer Underfull \hbox (badness 10000) in paragraph at lines 947--948 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.DropColumns Overfull \hbox (3.24988pt too wide) in paragraph at lines 950--952 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.ElasticNetClassifier Overfull \hbox (4.69006pt too wide) in paragraph at lines 952--954 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 954--955 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.Estimator Overfull \hbox (4.9501pt too wide) in paragraph at lines 955--957 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.ExtraTreesClassifier Overfull \hbox (6.39029pt too wide) in paragraph at lines 957--959 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.ExtraTreesRegressor Overfull \hbox (9.8201pt too wide) in paragraph at lines 960--962 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.KNeighborsClassifier Overfull \hbox (4.36026pt too wide) in paragraph at lines 962--964 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.LightGBMClassifier Overfull \hbox (5.80045pt too wide) in paragraph at lines 964--966 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.LightGBMRegressor Underfull \hbox (badness 10000) in paragraph at lines 966--968 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.LinearRegressor Overfull \hbox (37.3796pt too wide) in paragraph at lines 968--970 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.LogisticRegressionClassifier [553] Underfull \hbox (badness 10000) in paragraph at lines 970--972 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.OneHotEncoder Overfull \hbox (19.60023pt too wide) in paragraph at lines 974--976 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.RandomForestClassifier Overfull \hbox (21.04042pt too wide) in paragraph at lines 976--978 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.RandomForestRegressor Overfull \hbox (44.44995pt too wide) in paragraph at lines 978--980 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.RFClassifierSelectFromModel Overfull \hbox (45.89014pt too wide) in paragraph at lines 980--982 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.RFRegressorSelectFromModel Underfull \hbox (badness 10000) in paragraph at lines 982--984 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.SelectColumns Underfull \hbox (badness 10000) in paragraph at lines 984--986 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.SimpleImputer Overfull \hbox (31.26003pt too wide) in paragraph at lines 986--988 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.StackedEnsembleClassifier Overfull \hbox (32.70021pt too wide) in paragraph at lines 988--990 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.StackedEnsembleRegressor Underfull \hbox (badness 10000) in paragraph at lines 990--992 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.StandardScaler Underfull \hbox (badness 10000) in paragraph at lines 992--994 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.SVMClassifier Underfull \hbox (badness 10000) in paragraph at lines 994--995 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.SVMRegressor Underfull \hbox (badness 10000) in paragraph at lines 995--997 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.TargetEncoder Underfull \hbox (badness 10000) in paragraph at lines 997--999 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.TextFeaturizer Overfull \hbox (41.01964pt too wide) in paragraph at lines 999--1001 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.TimeSeriesBaselineEstimator Underfull \hbox (badness 10000) in paragraph at lines 1001--1002 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.Transformer Overfull \hbox (7.18016pt too wide) in paragraph at lines 1006--1008 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBas elineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 1008--1010 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBas elineBinaryPipeline Overfull \hbox (5.1799pt too wide) in paragraph at lines 1010--1012 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBas elineMulticlassPipeline Overfull \hbox (2.97968pt too wide) in paragraph at lines 1012--1014 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multicl assClassificationPipeline Underfull \hbox (badness 5460) in paragraph at lines 1015--1016 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Regress ionPipeline method\T1/ptm/m/n/10 ), Overfull \hbox (28.29964pt too wide) in paragraph at lines 1016--1018 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSer iesBaselineRegressionPipeline Overfull \hbox (32.41951pt too wide) in paragraph at lines 1018--1020 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSer iesBinaryClassificationPipeline Overfull \hbox (5.1998pt too wide) in paragraph at lines 1020--1022 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSer iesClassificationPipeline Overfull \hbox (46.86905pt too wide) in paragraph at lines 1022--1024 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSer iesMulticlassClassificationPipeline Underfull \hbox (badness 5022) in paragraph at lines 1024--1026 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSer iesRegressionPipeline Overfull \hbox (63.60025pt too wide) in paragraph at lines 1026--1028 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DateTimeFeaturizer Overfull \hbox (96.96011pt too wide) in paragraph at lines 1028--1030 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DelayedFeatureTransformer Overfull \hbox (51.43074pt too wide) in paragraph at lines 1030--1032 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DFSTransformer Overfull \hbox (39.46088pt too wide) in paragraph at lines 1032--1034 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DropColumns Overfull \hbox (56.69058pt too wide) in paragraph at lines 1034--1036 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DropNullColumns Overfull \hbox (14.90096pt too wide) in paragraph at lines 1036--1038 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.Imputer Overfull \hbox (48.78084pt too wide) in paragraph at lines 1038--1040 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.OneHotEncoder Overfull \hbox (60.21062pt too wide) in paragraph at lines 1040--1042 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.PerColumnImputer Overfull \hbox (104.44995pt too wide) in paragraph at lines 1042--1044 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.RFClassifierSelectFromModel Overfull \hbox (105.89014pt too wide) in paragraph at lines 1044--1046 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.RFRegressorSelectFromModel Overfull \hbox (42.68059pt too wide) in paragraph at lines 1046--1048 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.SelectColumns Overfull \hbox (42.12065pt too wide) in paragraph at lines 1048--1050 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.SimpleImputer Overfull \hbox (45.09074pt too wide) in paragraph at lines 1050--1052 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.StandardScaler Overfull \hbox (42.40079pt too wide) in paragraph at lines 1052--1054 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.TargetEncoder Overfull \hbox (40.81046pt too wide) in paragraph at 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[576]) (./feature-labs-inc-evalml.aux) ) (see the transcript file for additional information){/usr/share/texlive/texmf-d ist/fonts/enc/dvips/base/8r.enc} Output written on feature-labs-inc-evalml.pdf (580 pages, 2435188 bytes). 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