Man pages for maltenlz/Compressed-Rule-Ensembles
R-Package to build Compressed Rule Ensembles

ckmean_getlabelThis function uses kmeans to find the cluster labels
cluster_rulesEnsemble Rule Compression
creLearn a compressed rule ensemble
delete_duplicatesRemoves colinear and redundant rules. In case of colinearity...
genrulesXGBExtracts rules from a XGB model.
important_rulesPrints the most important rules found be the CRE model
predict.cre_modEnsemble Rule Compression
transformXTransforms the input matrix to the Rule Matrix, using the...
visualise_clustersPlots the distribution of splitpoints in each covariate
maltenlz/Compressed-Rule-Ensembles documentation built on Jan. 27, 2024, 6:43 a.m.