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filter-methods

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thibaultanani / TiDE

Feature selection for real ML pipelines: filters, wrappers, and metaheuristics with cross-validation, reproducibility, and bundled benchmarks.

benchmarking machine-learning research genetic-algorithm scikit-learn cross-validation regression feature-selection classification differential-evolution reproducibility optimisation metaheuristics filter-methods wrapper-methods

Updated Sep 26, 2025
Python

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