Guix will hold its first online conference November 22nd. Propose a talk before November 6th. Learn more!

python-scikit-rebate 0.6 Relief-based feature selection algorithms for Python

Scikit-rebate is a scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning. 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 algorithms.