skrebate
A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
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Description
These algorithms excel at identifying features that are predictive of the outcome in supervised learning problems, and are especially good at identifying feature interactions that are normally overlooked by standard feature selection methods.
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Summary
A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
Last Updated
Feb 16, 2021 at 02:08
License
MIT
Total Downloads
44.9K
Version Downloads
9.1K
Supported Platforms
noarch
GitHub Repository
https://github.com/EpistasisLab/scikit-rebateDocumentation
https://epistasislab.github.io/scikit-rebate