Package ciir.umass.edu.learning.tree

Class Split

java.lang.Object

ciir.umass.edu.learning.tree.Split

public class Split
extends java.lang.Object

Author:

vdang

Field Summary

Fields

Modifier and Type	Field	Description
FeatureHistogram	hist
int[]	samples

Constructor Summary

Constructors

Constructor	Description
Split()
Split(int[][] sortedSampleIDs, double deviance, double sumLabel, double sqSumLabel)
Split(int[] samples, FeatureHistogram hist, double deviance, double sumLabel)
Split(int featureID, float threshold, double deviance)

Method Summary

Modifier and Type	Method	Description
void	clearSamples()
double	eval(DataPoint dp)
double	getDeviance()
Split	getLeft()
double	getOutput()
Split	getRight()
int[]	getSamples()
int[][]	getSampleSortedIndex()
double	getSqSumLabel()
java.lang.String	getString(java.lang.String indent)
double	getSumLabel()
boolean	isRoot()
java.util.List<Split>	leaves()
void	set(int featureID, float threshold, double deviance)
void	setLeft(Split s)
void	setOutput(float output)
void	setRight(Split s)
void	setRoot(boolean isRoot)
boolean	split(double[] trainingLabels, int minLeafSupport)
java.lang.String	toString()
java.lang.String	toString(java.lang.String indent)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Field Detail

samples

public int[] samples

hist

public FeatureHistogram hist

Constructor Detail

Split

public Split()

Split

public Split(int featureID,
             float threshold,
             double deviance)

Split

public Split(int[][] sortedSampleIDs,
             double deviance,
             double sumLabel,
             double sqSumLabel)

Split

public Split(int[] samples,
             FeatureHistogram hist,
             double deviance,
             double sumLabel)

Method Detail

set

public void set(int featureID,
                float threshold,
                double deviance)

setLeft

public void setLeft(Split s)

setRight

public void setRight(Split s)

setOutput

public void setOutput(float output)

getLeft

public Split getLeft()

getRight

public Split getRight()

getDeviance

public double getDeviance()

getOutput

public double getOutput()

leaves

public java.util.List<Split> leaves()

eval

public double eval(DataPoint dp)

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object

toString

public java.lang.String toString(java.lang.String indent)

getString

public java.lang.String getString(java.lang.String indent)

split

public boolean split(double[] trainingLabels,
                     int minLeafSupport)

getSamples

public int[] getSamples()

getSampleSortedIndex

public int[][] getSampleSortedIndex()

getSumLabel

public double getSumLabel()

getSqSumLabel

public double getSqSumLabel()

clearSamples

public void clearSamples()

setRoot

public void setRoot(boolean isRoot)

isRoot

public boolean isRoot()