weka.classifiers.lazy.kstar

Class KStarNominalAttribute

java.lang.Object

weka.classifiers.lazy.kstar.KStarNominalAttribute

All Implemented Interfaces:

KStarConstants, RevisionHandler

public class KStarNominalAttribute
extends Object
implements KStarConstants, RevisionHandler

A custom class which provides the environment for computing the transformation probability of a specified test instance nominal attribute to a specified train instance nominal attribute.

Version:

$Revision 1.0 $

Author:

Len Trigg ([email protected]), Abdelaziz Mahoui ([email protected])

Field Summary

Fields inherited from interface weka.classifiers.lazy.kstar.KStarConstants

B_ENTROPY, B_SPHERE, EPSILON, FLOOR, FLOOR1, INITIAL_STEP, LOG2, M_AVERAGE, M_DELETE, M_MAXDIFF, M_NORMAL, NUM_RAND_COLS, OFF, ON, ROOT_FINDER_ACCURACY, ROOT_FINDER_MAX_ITER

Constructor Summary

Constructors

Constructor and Description
KStarNominalAttribute(Instance test, Instance train, int attrIndex, Instances trainSet, int[][] randClassCol, KStarCache cache) Constructor

Method Summary

Modifier and Type	Method and Description
String	getRevision() Returns the revision string.
void	setOptions(int missingmode, int blendmethod, int blendfactor) Sets the options.
double	transProb() Calculates the probability of the indexed nominal attribute of the test instance transforming into the indexed nominal attribute of the training instance.

Methods inherited from class java.lang.Object

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

Constructor Detail

KStarNominalAttribute

public KStarNominalAttribute(Instance test,
                             Instance train,
                             int attrIndex,
                             Instances trainSet,
                             int[][] randClassCol,
                             KStarCache cache)

Constructor

Method Detail

transProb

public double transProb()

Calculates the probability of the indexed nominal attribute of the test instance transforming into the indexed nominal attribute of the training instance.

Returns:

the value of the transformation probability.

setOptions

public void setOptions(int missingmode,
                       int blendmethod,
                       int blendfactor)

Sets the options.

getRevision

public String getRevision()

Returns the revision string.

Specified by:

getRevision in interface RevisionHandler

Returns:

the revision