com.ibm.able.beans.decisiontree
Class DecisionTree

java.lang.Object
  com.ibm.able.beans.decisiontree.LearningAlgorithm
      com.ibm.able.beans.decisiontree.DecisionTree

All Implemented Interfaces:

java.io.Serializable

public class DecisionTree

extends LearningAlgorithm

implements java.io.Serializable

class DecisionTree

See Also:

Serialized Form

Field Summary

static java.lang.String	Copyright
static short	RUN
static short	TEST
static short	TRAIN

Constructor Summary

DecisionTree()
constructor

Method Summary

void	buildHypothesis(Data data) buildHypothesis
void	classifyBatch(Data data) classifyBatch
short	classifyOneExample(Data data, short[] example) classifyOneExample
TreeNode	getRoot()
void	outputStats() outputStats
void	printHypothesis(Data data) printHypothesis
void	pruneHypothesis(Data data) pruneHypothesis
void	readOptions() readOptions

Methods inherited from class com.ibm.able.beans.decisiontree.LearningAlgorithm

classify, fileName, readGeneralOptions, setFileName, setTestExamples, testExamples

Methods inherited from class java.lang.Object

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

Field Detail

Copyright

public static final java.lang.String Copyright

See Also:

Constant Field Values

TRAIN

public static final short TRAIN

See Also:

Constant Field Values

TEST

public static final short TEST

See Also:

Constant Field Values

RUN

public static final short RUN

See Also:

Constant Field Values

Constructor Detail

DecisionTree

public DecisionTree()

constructor

Method Detail

readOptions

public void readOptions()

readOptions

buildHypothesis

public void buildHypothesis(Data data)

buildHypothesis

Overrides:

buildHypothesis in class LearningAlgorithm

getRoot

public TreeNode getRoot()

pruneHypothesis

public void pruneHypothesis(Data data)

pruneHypothesis

Overrides:

pruneHypothesis in class LearningAlgorithm

printHypothesis

public void printHypothesis(Data data)

printHypothesis

Overrides:

printHypothesis in class LearningAlgorithm

outputStats

public void outputStats()

outputStats

Overrides:

outputStats in class LearningAlgorithm

classifyBatch

public void classifyBatch(Data data)

classifyBatch

classifyOneExample

public short classifyOneExample(Data data,
                                short[] example)

classifyOneExample