Package ciir.umass.edu.learning.tree

Class FeatureHistogram

java.lang.Object

ciir.umass.edu.learning.tree.FeatureHistogram

public class FeatureHistogram
extends java.lang.Object

Author:

vdang

Field Summary

Fields

Modifier and Type	Field	Description
int[][]	count
int[]	features
int[][]	sampleToThresholdMap
static float	samplingRate
double	sqSumResponse
double[][]	sum
double	sumResponse
float[][]	thresholds

Constructor Summary

Constructors

Constructor	Description
FeatureHistogram()

Method Summary

Modifier and Type	Method	Description
protected void	construct(DataPoint[] samples, double[] labels, int[][] sampleSortedIdx, float[][] thresholds, int start, int end)
void	construct(DataPoint[] samples, double[] labels, int[][] sampleSortedIdx, int[] features, float[][] thresholds)
void	construct(FeatureHistogram parent, int[] soi, double[] labels)
protected void	construct(FeatureHistogram parent, int[] soi, double[] labels, int start, int end)
void	construct(FeatureHistogram parent, FeatureHistogram leftSibling, boolean reuseParent)
protected void	construct(FeatureHistogram parent, FeatureHistogram leftSibling, int start, int end)
protected ciir.umass.edu.learning.tree.FeatureHistogram.Config	findBestSplit(int[] usedFeatures, int minLeafSupport, int start, int end)
boolean	findBestSplit(Split sp, double[] labels, int minLeafSupport)
protected void	update(double[] labels)
protected void	update(double[] labels, int start, int end)

Methods inherited from class java.lang.Object

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

Field Detail

samplingRate

public static float samplingRate

features

public int[] features

thresholds

public float[][] thresholds

sum

public double[][] sum

sumResponse

public double sumResponse

sqSumResponse

public double sqSumResponse

count

public int[][] count

sampleToThresholdMap

public int[][] sampleToThresholdMap

Constructor Detail

FeatureHistogram

public FeatureHistogram()

Method Detail

construct

public void construct(DataPoint[] samples,
                      double[] labels,
                      int[][] sampleSortedIdx,
                      int[] features,
                      float[][] thresholds)

construct

protected void construct(DataPoint[] samples,
                         double[] labels,
                         int[][] sampleSortedIdx,
                         float[][] thresholds,
                         int start,
                         int end)

update

protected void update(double[] labels)

update

protected void update(double[] labels,
                      int start,
                      int end)

construct

public void construct(FeatureHistogram parent,
                      int[] soi,
                      double[] labels)

construct

protected void construct(FeatureHistogram parent,
                         int[] soi,
                         double[] labels,
                         int start,
                         int end)

construct

public void construct(FeatureHistogram parent,
                      FeatureHistogram leftSibling,
                      boolean reuseParent)

construct

protected void construct(FeatureHistogram parent,
                         FeatureHistogram leftSibling,
                         int start,
                         int end)

findBestSplit

protected ciir.umass.edu.learning.tree.FeatureHistogram.Config findBestSplit(int[] usedFeatures,
                                                                             int minLeafSupport,
                                                                             int start,
                                                                             int end)

findBestSplit

public boolean findBestSplit(Split sp,
                             double[] labels,
                             int minLeafSupport)