Boruta-Py Feature Selection

Boruta-Py is a Python implementation of the Boruta all-relevant feature selection algorithm, originally developed in R. It helps identify all features that are relevant to a prediction task, rather than just a minimal optimal subset. The library follows a scikit-learn-like interface, allowing seamless integration into existing machine learning workflows. As of version 0.4.3, the library is actively maintained with periodic releases addressing community-reported issues.