name: RegressionDecisionTree : public DecisionTreeBase<RegressionDecisionTreeNode>

synopsis:

g++ [flags ...] file ... -l /isip/tools/lib/$ISIP_BINARY/lib_pr.a

#include <RegressionDecisionTree.h>

RegressionDecisionTree(ALGORITHM algorithm = DEF_ALGORITHM, IMPLEMENTATION implementation = DEF_IMPLEMENTATION, float split_threshold, float merge_threshold, float num_occ_threshold);
boolean eq(const RegressionDecisionTree& arg);
boolean setAlgorithm(ALGORITHM algorithm);
quick start:

RegressionDecisionTree rdt;
rdt.setAlgorithm(MLLR);
rdt.setImplementation(MEAN);

rdt. initRegressionTree(Vector& stat_models_a,
			Vector & speech_tag_a);
rdt.createTransform(Vector& stat_models_a);
description:

The RegressionDecisionTree class is used to build a RegressionDecisionTree by giving statistical models and speech/nonspeech tag.
dependencies:

public constants:

error codes:

protected data:

required public methods:

class-specific public methods:

private methods: