Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models
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Python implementation of the rulefit algorithm
ID3-based implementation of the ML Decision Tree algorithm
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.
Impress your boss with interactive Decision Tree visualization
Flexible and Extensible Machine Learning in Ruby
