edu.umass.cs.mallet.base.classify

Class DecisionTree.Node

java.lang.Object

edu.umass.cs.mallet.base.classify.DecisionTree.Node

All Implemented Interfaces:

Serializable

Enclosing class:

DecisionTree

public static class DecisionTree.Node
extends Object
implements Serializable

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
Node(InstanceList ilist, DecisionTree.Node parent, FeatureSelection fs)

Method Summary

Modifier and Type	Method and Description
int	depth() The root has depth zero.
DecisionTree.Node	getFeatureAbsentChild()
DecisionTree.Node	getFeaturePresentChild()
String	getName()
Object	getSplitFeature()
double	getSplitInfoGain()
void	induceFeatures(AugmentableFeatureVector afv, FeatureSelection featuresAlreadyThere, FeatureSelection[] perClassFeaturesAlreadyThere, FeatureSelection newFeatureSelection, FeatureSelection[] perClassNewFeatureSelection, boolean withInteriorNodes, boolean addPerClassFeatures, double classEntropyThreshold)
boolean	isLeaf()
boolean	isRoot()
void	print()
void	split(FeatureSelection fs)
void	stopGrowth()

Methods inherited from class java.lang.Object

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

Constructor Detail

Node

public Node(InstanceList ilist,
            DecisionTree.Node parent,
            FeatureSelection fs)

Method Detail

depth

public int depth()

The root has depth zero.

isLeaf

public boolean isLeaf()

isRoot

public boolean isRoot()

getFeatureAbsentChild

public DecisionTree.Node getFeatureAbsentChild()

getFeaturePresentChild

public DecisionTree.Node getFeaturePresentChild()

getSplitInfoGain

public double getSplitInfoGain()

getSplitFeature

public Object getSplitFeature()

split

public void split(FeatureSelection fs)

stopGrowth

public void stopGrowth()

induceFeatures

public void induceFeatures(AugmentableFeatureVector afv,
                           FeatureSelection featuresAlreadyThere,
                           FeatureSelection[] perClassFeaturesAlreadyThere,
                           FeatureSelection newFeatureSelection,
                           FeatureSelection[] perClassNewFeatureSelection,
                           boolean withInteriorNodes,
                           boolean addPerClassFeatures,
                           double classEntropyThreshold)

getName

public String getName()

print

public void print()