8 projects
skheros
The Heuristic Evolutionary Rule Optimization System (HEROS) is a supervised rule-based machine learning algorithm designed to agnostically model diverse 'structured' data problems and yield compact human interpretable solutions. This implementation is scikit-learn compatible.
scikit-fibers
A Scikit Learn compatible implementation of FIBERS Algorithm
scikit-rare
A Scikit Learn compatible implementation of RARE Algorithm
scikit-ExSTraCS
ExSTraCS 2.0 Learning Classifier System
scikit-XCS
XCS Learning Classifier System
scikit-eLCS
Educational Learning Classifier System
LCS-DIVE
Learning Classifier System Discovery and Visualization Environment
skrebate
Relief-based feature selection algorithms