Class CARTRegressionTrainer

java.lang.Object
org.tribuo.common.tree.AbstractCARTTrainer<Regressor>
org.tribuo.regression.rtree.CARTRegressionTrainer
All Implemented Interfaces:
com.oracle.labs.mlrg.olcut.config.Configurable, com.oracle.labs.mlrg.olcut.provenance.Provenancable<TrainerProvenance>, DecisionTreeTrainer<Regressor>, SparseTrainer<Regressor>, Trainer<Regressor>, WeightedExamples

A Trainer that uses an approximation of the CART algorithm to build a decision tree. Trains an independent tree for each output dimension.

See:

 J. Friedman, T. Hastie, & R. Tibshirani.
 "The Elements of Statistical Learning"
 Springer 2001. PDF