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freebsd-ports/science/py-skrebate/pkg-descr
Po-Chuan Hsieh a15ff33a68
science/py-skrebate: Add py-skrebate 0.62
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.

WWW: https://github.com/EpistasisLab/scikit-rebate
2021-04-26 04:35:07 +08:00

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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.
WWW: https://github.com/EpistasisLab/scikit-rebate