Description
Nature inspired algorithms for hyper-parameter tuning of scikit-learn models.
This package uses algorithms implementation from NiaPy.
Documentation is available at:
https://sklearn-nature-inspired-algorithms.readthedocs.io/en/stable/
RPMs
No RPMs
Changelog
* Thu Jul 16 2026 Fedora Release Engineering <releng@fedoraproject.org> - 0.12.0-27 - Rebuilt for https://fedoraproject.org/wiki/Fedora_45_Mass_Rebuild * Thu Jun 04 2026 Python Maint <python-maint@redhat.com> - 0.12.0-26 - Rebuilt for Python 3.15 * Fri May 22 2026 Peter Robinson <pbrobinson@gmail.com> - 0.12.0-25 - Rebuild for Pandas3 * Sat Jan 17 2026 Fedora Release Engineering <releng@fedoraproject.org> - 0.12.0-24 - Rebuilt for https://fedoraproject.org/wiki/Fedora_44_Mass_Rebuild * Sun Sep 21 2025 Sandro <devel@penguinpee.nl> - 0.12.0-23 - Drop dependency on toml (RHBZ#2392567) * Fri Sep 19 2025 Python Maint <python-maint@redhat.com> - 0.12.0-22 - Rebuilt for Python 3.14.0rc3 bytecode * Fri Aug 15 2025 Python Maint <python-maint@redhat.com> - 0.12.0-21 - Rebuilt for Python 3.14.0rc2 bytecode * Fri Jul 25 2025 Fedora Release Engineering <releng@fedoraproject.org> - 0.12.0-20 - Rebuilt for https://fedoraproject.org/wiki/Fedora_43_Mass_Rebuild * Thu Jun 05 2025 Python Maint <python-maint@redhat.com> - 0.12.0-19 - Rebuilt for Python 3.14 * Sat Jan 18 2025 Fedora Release Engineering <releng@fedoraproject.org> - 0.12.0-18 - Rebuilt for https://fedoraproject.org/wiki/Fedora_42_Mass_Rebuild * Fri Jul 19 2024 Fedora Release Engineering <releng@fedoraproject.org> - 0.12.0-17 - Rebuilt for https://fedoraproject.org/wiki/Fedora_41_Mass_Rebuild