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Name: python3-imbalanced-learn | Distribution: Fedora Project |
Version: 0.13.0 | Vendor: Fedora Project |
Release: 1.fc42 | Build date: Sun Dec 29 12:26:00 2024 |
Group: Unspecified | Build host: buildvm-ppc64le-07.iad2.fedoraproject.org |
Size: 275366 | Source RPM: python-imbalanced-learn-0.13.0-1.fc42.src.rpm |
Packager: Fedora Project | |
Url: https://github.com/scikit-learn-contrib/imbalanced-learn | |
Summary: A Python Package to Tackle the Imbalanced Datasets in Machine Learning |
imbalanced-learn is a python package offering a number of re-sampling techniques commonly used in datasets showing strong between-class imbalance. It is compatible with scikit-learn and is part of scikit-learn-contrib projects.
MIT
* Wed Dec 25 2024 Sandro <devel@penguinpee.nl> - 0.13.0-1 - Update to 0.13.0 (RHBZ#2333533) - Fix build with NumPy 2.x * Fri Oct 04 2024 Packit <hello@packit.dev> - 0.12.4-1 - Update to 0.12.4 upstream release - Resolves: rhbz#2316538 * Fri Jul 19 2024 Fedora Release Engineering <releng@fedoraproject.org> - 0.12.3-3 - Rebuilt for https://fedoraproject.org/wiki/Fedora_41_Mass_Rebuild * Sat Jun 08 2024 Python Maint <python-maint@redhat.com> - 0.12.3-2 - Rebuilt for Python 3.13 * Tue May 28 2024 Packit <hello@packit.dev> - 0.12.3-1 - Update to 0.12.3 upstream release - Resolves: rhbz#2283670 * Sun Mar 31 2024 Sandro <devel@penguinpee.nl> - 0.12.2-2 - Add Packit config * Sun Mar 31 2024 Sandro <devel@penguinpee.nl> - 0.12.2-1 - Update to 0.12.2 (RHBZ#2272403) - Drop patch (implemented upstream) - Update also fixes RHBZ#2264229 * Wed Mar 27 2024 Sandro <devel@penguinpee.nl> - 0.12.0-2 - Fix failing tests due to updated sklearn (>=1.4) * Thu Jan 25 2024 Iztok Fister Jr. <iztok@iztok.xyz> - 0.12.0-1 - Update to 0.12.0 * Mon Jan 22 2024 Fedora Release Engineering <releng@fedoraproject.org> - 0.11.0-3 - Rebuilt for https://fedoraproject.org/wiki/Fedora_40_Mass_Rebuild * Wed Jan 03 2024 Benjamin A. Beasley <code@musicinmybrain.net> - 0.11.0-2 - Assert that the .dist-info directory contains a license file * Thu Sep 07 2023 Sandro <devel@penguinpee.nl> - 0.11.0-1 - Update to 0.11.0 (RHBZ#2221414) - Also fixes RHBZ#2226214 * Fri Jul 21 2023 Fedora Release Engineering <releng@fedoraproject.org> - 0.10.1-4 - Rebuilt for https://fedoraproject.org/wiki/Fedora_39_Mass_Rebuild * Tue Jul 04 2023 Python Maint <python-maint@redhat.com> - 0.10.1-3 - Rebuilt for Python 3.12 * Thu Apr 27 2023 Sandro <devel@penguinpee.nl> - 0.10.1-1 - Update to 0.10.1 * Fri Jan 20 2023 Fedora Release Engineering <releng@fedoraproject.org> - 0.10.0-2 - Rebuilt for https://fedoraproject.org/wiki/Fedora_38_Mass_Rebuild
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/usr/share/doc/python3-imbalanced-learn/examples/combine/README.txt /usr/share/doc/python3-imbalanced-learn/examples/combine/plot_comparison_combine.py /usr/share/doc/python3-imbalanced-learn/examples/datasets /usr/share/doc/python3-imbalanced-learn/examples/datasets/README.txt /usr/share/doc/python3-imbalanced-learn/examples/datasets/plot_make_imbalance.py /usr/share/doc/python3-imbalanced-learn/examples/ensemble /usr/share/doc/python3-imbalanced-learn/examples/ensemble/README.txt /usr/share/doc/python3-imbalanced-learn/examples/ensemble/plot_bagging_classifier.py /usr/share/doc/python3-imbalanced-learn/examples/ensemble/plot_comparison_ensemble_classifier.py /usr/share/doc/python3-imbalanced-learn/examples/evaluation /usr/share/doc/python3-imbalanced-learn/examples/evaluation/README.txt /usr/share/doc/python3-imbalanced-learn/examples/evaluation/plot_classification_report.py /usr/share/doc/python3-imbalanced-learn/examples/evaluation/plot_metrics.py /usr/share/doc/python3-imbalanced-learn/examples/model_selection /usr/share/doc/python3-imbalanced-learn/examples/model_selection/README.txt /usr/share/doc/python3-imbalanced-learn/examples/model_selection/plot_validation_curve.py /usr/share/doc/python3-imbalanced-learn/examples/over-sampling /usr/share/doc/python3-imbalanced-learn/examples/over-sampling/README.txt /usr/share/doc/python3-imbalanced-learn/examples/over-sampling/plot_comparison_over_sampling.py /usr/share/doc/python3-imbalanced-learn/examples/over-sampling/plot_illustration_generation_sample.py /usr/share/doc/python3-imbalanced-learn/examples/over-sampling/plot_shrinkage_effect.py /usr/share/doc/python3-imbalanced-learn/examples/pipeline /usr/share/doc/python3-imbalanced-learn/examples/pipeline/README.txt /usr/share/doc/python3-imbalanced-learn/examples/pipeline/plot_pipeline_classification.py /usr/share/doc/python3-imbalanced-learn/examples/under-sampling /usr/share/doc/python3-imbalanced-learn/examples/under-sampling/README.txt /usr/share/doc/python3-imbalanced-learn/examples/under-sampling/plot_comparison_under_sampling.py /usr/share/doc/python3-imbalanced-learn/examples/under-sampling/plot_illustration_nearmiss.py /usr/share/doc/python3-imbalanced-learn/examples/under-sampling/plot_illustration_tomek_links.py
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Fabrice Bellet, Wed Jan 22 03:52:12 2025