weka.classifiers.neural.common
Class WekaAlgorithmAncestor

java.lang.Object
  weka.classifiers.Classifier
      weka.classifiers.neural.common.WekaAlgorithmAncestor

All Implemented Interfaces:

java.io.Serializable, java.lang.Cloneable, weka.core.OptionHandler, weka.core.WeightedInstancesHandler

Direct Known Subclasses:

BackPropagation, BoldDriverBackPropagation, Perceptron

public abstract class WekaAlgorithmAncestor
extends weka.classifiers.Classifier
implements weka.core.OptionHandler, weka.core.WeightedInstancesHandler

Title: Weka Neural Implementation

Description: ...

Copyright: Copyright (c) 2003

Company: N/A

Version:

1.0

Author:

Jason Brownlee

See Also:

Serialized Form

Constructor Summary

WekaAlgorithmAncestor()

Method Summary

java.lang.String	biasInputTipText()
void	buildClassifier(weka.core.Instances instances)
double[]	distributionForInstance(weka.core.Instance instance)
double[]	getAllWeights()
double	getBiasInput()
double	getLearningRate()
java.lang.String[]	getOptions()
long	getRandomNumberSeed()
int	getTrainingIterations()
abstract java.lang.String	globalInfo()
java.lang.String	learningRateTipText()
java.util.Enumeration	listOptions()
java.lang.String	randomNumberSeedTipText()
void	setBiasInput(double l)
void	setLearningRate(double l)
void	setOptions(java.lang.String[] options)
void	setRandomNumberSeed(long l)
void	setTrainingIterations(int i)
java.lang.String	toString()
java.lang.String	trainingIterationsTipText()

Methods inherited from class weka.classifiers.Classifier

classifyInstance, debugTipText, forName, getDebug, makeCopies, makeCopy, setDebug

Methods inherited from class java.lang.Object

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

Constructor Detail

WekaAlgorithmAncestor

public WekaAlgorithmAncestor()

Method Detail

globalInfo

public abstract java.lang.String globalInfo()

getAllWeights

public double[] getAllWeights()

buildClassifier

public void buildClassifier(weka.core.Instances instances)
                     throws java.lang.Exception

Specified by:

buildClassifier in class weka.classifiers.Classifier

Throws:

java.lang.Exception

distributionForInstance

public double[] distributionForInstance(weka.core.Instance instance)
                                 throws java.lang.Exception

Overrides:

distributionForInstance in class weka.classifiers.Classifier

Throws:

java.lang.Exception

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object

listOptions

public java.util.Enumeration listOptions()

Specified by:

listOptions in interface weka.core.OptionHandler

Overrides:

listOptions in class weka.classifiers.Classifier

setOptions

public void setOptions(java.lang.String[] options)
                throws java.lang.Exception

Specified by:

setOptions in interface weka.core.OptionHandler

Overrides:

setOptions in class weka.classifiers.Classifier

Throws:

java.lang.Exception

getOptions

public java.lang.String[] getOptions()

Specified by:

getOptions in interface weka.core.OptionHandler

Overrides:

getOptions in class weka.classifiers.Classifier

trainingIterationsTipText

public java.lang.String trainingIterationsTipText()

learningRateTipText

public java.lang.String learningRateTipText()

biasInputTipText

public java.lang.String biasInputTipText()

randomNumberSeedTipText

public java.lang.String randomNumberSeedTipText()

getTrainingIterations

public int getTrainingIterations()

setTrainingIterations

public void setTrainingIterations(int i)

getLearningRate

public double getLearningRate()

setLearningRate

public void setLearningRate(double l)

getBiasInput

public double getBiasInput()

setBiasInput

public void setBiasInput(double l)

getRandomNumberSeed

public long getRandomNumberSeed()

setRandomNumberSeed

public void setRandomNumberSeed(long l)