christophM/rulefit
Python implementation of the rulefit algorithm
Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models
Appears on
Quick read
Latest capture 2026-08-23 03:06
0 paths
Agent instructions and tool configuration found in this repository.
No config files detected.
8 observed captures since 2026-05-22. Observed captures are shown by default.
Stars from first capture +2
Observed captures only
All tracked data
Observed snapshots
Observed snapshots
Nearest indexed repositories by embedding similarity.
Python implementation of the rulefit algorithm
ID3-based implementation of the ML Decision Tree algorithm
Impress your boss with interactive Decision Tree visualization
A general classifier module to allow Bayesian and other types of classifications. A fork of cardmagic/classifier.
Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.
Flexible and Extensible Machine Learning in Ruby