edu.uci.jforests.learning.trees

Class CandidateSplitsForLeaf

java.lang.Object

edu.uci.jforests.learning.trees.CandidateSplitsForLeaf

Direct Known Subclasses:

DecisionCandidateSplitsForLeaf, RegressionCandidateSplitsForLeaf

public abstract class CandidateSplitsForLeaf
extends java.lang.Object

Constructor Summary

Constructors

Constructor and Description
CandidateSplitsForLeaf(int numFeatures, int numInstances)

Method Summary

Modifier and Type	Method and Description
int	getBestFeature()
int	getBestFeature(double splitFraction, java.util.Random rnd)
TreeSplit	getFeatureSplit(int f)
int[]	getIndices()
int	getLeafIndex()
int	getNumInstancesInLeaf()
double[]	getTargets()
double	getTotalWeightedCount()
double[]	getWeights()
void	init(int curLeafIndex)
abstract void	init(int curLeafIndex, TreeLeafInstances treeLeafInstances, Sample trainSet)

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

CandidateSplitsForLeaf

public CandidateSplitsForLeaf(int numFeatures,
                              int numInstances)

Method Detail

init

public abstract void init(int curLeafIndex,
                          TreeLeafInstances treeLeafInstances,
                          Sample trainSet)

getFeatureSplit

public TreeSplit getFeatureSplit(int f)

getBestFeature

public int getBestFeature()

getBestFeature

public int getBestFeature(double splitFraction,
                          java.util.Random rnd)

getLeafIndex

public int getLeafIndex()

getNumInstancesInLeaf

public int getNumInstancesInLeaf()

getTotalWeightedCount

public double getTotalWeightedCount()

getIndices

public int[] getIndices()

getTargets

public double[] getTargets()

getWeights

public double[] getWeights()

init

public void init(int curLeafIndex)