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| Name: python3-sklearn-genetic-opt | Distribution: Fedora Project |
| Version: 0.9.0 | Vendor: Fedora Project |
| Release: 3.fc37 | Build date: Sat Jul 23 00:27:57 2022 |
| Group: Unspecified | Build host: buildvm-s390x-34.s390.fedoraproject.org |
| Size: 284428 | Source RPM: python-sklearn-genetic-opt-0.9.0-3.fc37.src.rpm |
| Packager: Fedora Project | |
| Url: https://github.com/rodrigo-arenas/Sklearn-genetic-opt | |
| Summary: Hyperparameters tuning and feature selection | |
scikit-learn models hyperparameters tuning and feature selection, using evolutionary algorithms. This is meant to be an alternative to popular methods inside scikit-learn such as Grid Search and Randomized Grid Search for hyperparameteres tuning, and from RFE, Select From Model for feature selection. Sklearn-genetic-opt uses evolutionary algorithms from the DEAP package to choose the set of hyperparameters that optimizes (max or min) the cross-validation scores, it can be used for both regression and classification problems.
MIT
* Fri Jul 22 2022 Fedora Release Engineering <releng@fedoraproject.org> 0.9.0-3 - Rebuilt for https://fedoraproject.org/wiki/Fedora_37_Mass_Rebuild * Mon Jul 04 2022 Python Maint <python-maint@redhat.com> 0.9.0-2 - Rebuilt for Python 3.11 * Tue Jun 14 2022 Iztok Fister Jr <iztok@iztok-jr-fister.eu> 0.9.0-1 - Initial import (fedora#2095975).
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Fabrice Bellet, Thu May 9 20:42:17 2024