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Implementation of metaheuristic algorithms for machine learning feature selection. Companion library for the book `Feature Engineering & Selection for Explainable Models: A Second Course for Data Scientists`
pip install metaheuristicsfs
PyPI declares 3 unique dependency rules for this release. Environment markers are shown when supplied by the project.
MetaHeuristicsFS publishes 1 wheel and 1 source archive for version 0.0.8. Wheel platform tags: any.
No version-specific Python classifiers are declared.
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PyPI lists 8 releases with files. The first dated release is ; 8 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .