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Py-skrebate
Jul 20, 2023
Relief-based feature selection algorithms
This package includes a scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning. These Relief-Based algorithms RBAs are designed for feature weighting/selection as part of a machine learning pipeline supervised learning. Presently this includes the following core RBAs ReliefF, SURF, SURF, MultiSURF, and MultiSURF. Additionally, an implementation of the iterative TuRF mechanism and VLSRelief is included.
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