weka.classifiers.neural.lvq.model
Class CodebookVector

java.lang.Object
  weka.classifiers.neural.lvq.model.CodebookVector

All Implemented Interfaces:

java.io.Serializable

public class CodebookVector
extends java.lang.Object
implements java.io.Serializable

Description: Represents a single codebook vector in an LVQ model A codebook vector is also called a prototype or an exemplar. It is a single node which represents a sign post in the state space of the training data
Copyright (c) Jason Brownlee 2004

Author:

Jason Brownlee

See Also:

Serialized Form

Constructor Summary

CodebookVector(int aCodebookId)

Method Summary

void	clearClassDistributions()
double[]	getAttributes() Return codebook vector's internal representation
int	getBmuCorrectCount()
int	getBmuIncorrectCount()
int[]	getClassHitDistribution()
double	getClassification() Return codebook vectors class assignmnet
double	getDistance() Get distance from data instance at a point in time
int	getId()
double	getIndividualLearningRate() codebook vectors individual learning rate
boolean	hasClassChanged()
void	initialise(double[] aAttributes, int aClassIndex, int aNumClasses)
void	resetBmuCounts()
void	setBmuHit(double aDistance, weka.core.Instance aInstance)
void	setClassification(double aClassificationValue)
void	setIndividualLearningRate(double lrate) Set the codebook vectors learning rate
void	setUseVoting(boolean useVoting)
java.lang.String	toString() String representation of this codebook vector
double	value(int aIndex)

Methods inherited from class java.lang.Object

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

Constructor Detail

CodebookVector

public CodebookVector(int aCodebookId)

Method Detail

setClassification

public void setClassification(double aClassificationValue)

initialise

public void initialise(double[] aAttributes,
                       int aClassIndex,
                       int aNumClasses)

toString

public java.lang.String toString()

String representation of this codebook vector

Overrides:

toString in class java.lang.Object

Returns:

String

getClassification

public double getClassification()

Return codebook vectors class assignmnet

Returns:

getDistance

public double getDistance()

Get distance from data instance at a point in time

Returns:

getAttributes

public double[] getAttributes()

Return codebook vector's internal representation

Returns:

getIndividualLearningRate

public double getIndividualLearningRate()

codebook vectors individual learning rate

Returns:

setIndividualLearningRate

public void setIndividualLearningRate(double lrate)

Set the codebook vectors learning rate

Parameters:

lrate -

value

public double value(int aIndex)

setBmuHit

public void setBmuHit(double aDistance,
                      weka.core.Instance aInstance)

resetBmuCounts

public void resetBmuCounts()

getBmuCorrectCount

public int getBmuCorrectCount()

getBmuIncorrectCount

public int getBmuIncorrectCount()

getId

public int getId()

getClassHitDistribution

public int[] getClassHitDistribution()

hasClassChanged

public boolean hasClassChanged()

setUseVoting

public void setUseVoting(boolean useVoting)

clearClassDistributions

public void clearClassDistributions()