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Scikit-learn models hyperparameter tuning and feature selection using evolutionary algorithms
pip install sklearn-genetic-opt
PyPI declares 36 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=1.5.0>=1.26.0>=1.4.0>=4.60.0>=1.3.0The compact report shows 12 of 36 declarations. The interactive dependency graph loads the complete metadata.
sklearn-genetic-opt publishes 1 wheel and 1 source archive for version 0.13.3. Wheel platform tags: any.
Declared Python classifiers: 3.12, 3.13, 3.14.
An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.
PyPI lists 38 releases with files. The first dated release is ; 5 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .