edu.cmu.minorthird.classify.algorithms.trees
Class CompactDecisionTree

java.lang.Object
  edu.cmu.minorthird.classify.BinaryClassifier
      edu.cmu.minorthird.classify.algorithms.trees.CompactDecisionTree

All Implemented Interfaces:

Classifier, java.io.Serializable

public class CompactDecisionTree
extends BinaryClassifier
implements java.io.Serializable

See Also:

Serialized Form

Field Summary

Fields inherited from class edu.cmu.minorthird.classify.BinaryClassifier

classifierLearner

Constructor Summary

CompactDecisionTree()

Method Summary

int	addInternalNode(Feature test, double thresh, int ifTrue, int ifFalse)
int	addInternalNode(Feature test, int ifTrue, int ifFalse)
int	addLeafNode(double myScore)
void	compactStorage()
java.lang.String	explain(Instance instance) Return some string that 'explains' the classification
Explanation	getExplanation(Instance instance) Return an Explanation for the classification
double	score(Instance instance) Get the weight for an instance being in the positive class.
double	score(Instance instance, int index)
void	setRoot(int root)
java.lang.String	toString() Print routine
void	toString(java.lang.StringBuffer buf, int tab)

Methods inherited from class edu.cmu.minorthird.classify.BinaryClassifier

classification, getClassifierLearner, setClassifierLearner

Methods inherited from class java.lang.Object

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

Constructor Detail

CompactDecisionTree

public CompactDecisionTree()

Method Detail

setRoot

public void setRoot(int root)

toString

public java.lang.String toString()

Print routine

Overrides:

toString in class java.lang.Object

toString

public void toString(java.lang.StringBuffer buf,
                     int tab)

compactStorage

public void compactStorage()

addInternalNode

public int addInternalNode(Feature test,
                           int ifTrue,
                           int ifFalse)

addInternalNode

public int addInternalNode(Feature test,
                           double thresh,
                           int ifTrue,
                           int ifFalse)

addLeafNode

public int addLeafNode(double myScore)

score

public double score(Instance instance)

Description copied from class: BinaryClassifier

Get the weight for an instance being in the positive class.

Specified by:

score in class BinaryClassifier

score

public double score(Instance instance,
                    int index)

explain

public java.lang.String explain(Instance instance)

Description copied from interface: Classifier

Return some string that 'explains' the classification

Specified by:

explain in interface Classifier

getExplanation

public Explanation getExplanation(Instance instance)

Description copied from interface: Classifier

Return an Explanation for the classification

Specified by:

getExplanation in interface Classifier