Feature selection for real ML pipelines: filters, wrappers, and metaheuristics with cross-validation, reproducibility, and bundled benchmarks.
-
Updated
Dec 30, 2025 - Python
Feature selection for real ML pipelines: filters, wrappers, and metaheuristics with cross-validation, reproducibility, and bundled benchmarks.
Automated Machine Learning Feature Engineering library with advanced feature selection methods (Filter, mRMR, Wrapper, Embedded)
Add a description, image, and links to the filter-methods topic page so that developers can more easily learn about it.
To associate your repository with the filter-methods topic, visit your repo's landing page and select "manage topics."