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Commit 83a7e0a

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author
Kei Ishikawa
committed
Revert "Merge branch 'main' into fix/kernel_pca_inverse_transform"
This reverts commit 8d618ee, reversing changes made to c3822ac.
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‎.github/ISSUE_TEMPLATE/config.yml

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blank_issues_enabled: false
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contact_links:
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- name: Discussions
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url: https://github.com/scikit-learn/scikit-learn/discussions/new
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url: https://github.com/scikit-learn/scikit-learn/discussions
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about: Ask questions and discuss with other scikit-learn community members
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- name: Stack Overflow
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- name: Stack overflow
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url: https://stackoverflow.com/questions/tagged/scikit-learn
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about: Please ask and answer usage questions on Stack Overflow
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about: Please ask and answer usage questions on stackoverflow
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- name: Mailing list
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url: https://mail.python.org/mailman/listinfo/scikit-learn
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about: General discussions and announcements on the mailing list
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- name: Gitter
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url: https://gitter.im/scikit-learn/scikit-learn
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about: Users and developers can sometimes be found on the gitter channel
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- name: Blank issue
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url: https://github.com/scikit-learn/scikit-learn/issues/new
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about: Please note that Github Discussions should be used in most cases instead

‎.github/ISSUE_TEMPLATE/other_template.md

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---
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name: Other
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about: For all other issues to reach the community...
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title: ''
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labels: ''
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assignees: ''
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---
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‎asv_benchmarks/benchmarks/ensemble.py

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from sklearn.experimental import enable_hist_gradient_boosting # noqa
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from sklearn.ensemble import (RandomForestClassifier,
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GradientBoostingClassifier,
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HistGradientBoostingClassifier)

‎benchmarks/bench_hist_gradient_boosting.py

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import matplotlib.pyplot as plt
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import numpy as np
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from sklearn.model_selection import train_test_split
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# To use this experimental feature, we need to explicitly ask for it:
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from sklearn.experimental import enable_hist_gradient_boosting # noqa
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from sklearn.ensemble import HistGradientBoostingRegressor
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from sklearn.ensemble import HistGradientBoostingClassifier
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from sklearn.datasets import make_classification

‎benchmarks/bench_hist_gradient_boosting_adult.py

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from sklearn.model_selection import train_test_split
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from sklearn.datasets import fetch_openml
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from sklearn.metrics import accuracy_score, roc_auc_score
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from sklearn.experimental import enable_hist_gradient_boosting # noqa
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from sklearn.ensemble import HistGradientBoostingClassifier
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from sklearn.ensemble._hist_gradient_boosting.utils import (
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get_equivalent_estimator)

‎benchmarks/bench_hist_gradient_boosting_categorical_only.py

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from sklearn.preprocessing import KBinsDiscretizer
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from sklearn.datasets import make_classification
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from sklearn.experimental import enable_hist_gradient_boosting # noqa
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from sklearn.ensemble import HistGradientBoostingClassifier
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from sklearn.ensemble._hist_gradient_boosting.utils import (
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get_equivalent_estimator)

‎benchmarks/bench_hist_gradient_boosting_higgsboson.py

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from joblib import Memory
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from sklearn.model_selection import train_test_split
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from sklearn.metrics import accuracy_score, roc_auc_score
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# To use this experimental feature, we need to explicitly ask for it:
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from sklearn.experimental import enable_hist_gradient_boosting # noqa
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from sklearn.ensemble import HistGradientBoostingClassifier
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from sklearn.ensemble._hist_gradient_boosting.utils import (
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get_equivalent_estimator)

‎benchmarks/bench_hist_gradient_boosting_threading.py

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from threadpoolctl import threadpool_limits
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import sklearn
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from sklearn.model_selection import train_test_split
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# To use this experimental feature, we need to explicitly ask for it:
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from sklearn.experimental import enable_hist_gradient_boosting # noqa
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from sklearn.ensemble import HistGradientBoostingRegressor
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from sklearn.ensemble import HistGradientBoostingClassifier
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from sklearn.datasets import make_classification

‎benchmarks/bench_online_ocsvm.py

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‎conftest.py

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# Even if empty this file is useful so that when running from the root folder
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# ./sklearn is added to sys.path by pytest. See
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# https://docs.pytest.org/en/latest/explanation/pythonpath.html for more
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# details. For example, this allows to build extensions in place and run pytest
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# https://docs.pytest.org/en/latest/pythonpath.html for more details. For
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# example, this allows to build extensions in place and run pytest
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# doc/modules/clustering.rst and use sklearn from the local folder rather than
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# the one from site-packages.
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‎doc/about.rst

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‎doc/conf.py

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from sklearn.experimental import enable_hist_gradient_boosting # noqa
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from sklearn.experimental import enable_iterative_imputer # noqa
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from sklearn.experimental import enable_halving_search_cv # noqa
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