weka.classifiers.immune.airs
Class AIRS2Parallel

java.lang.Object
  weka.classifiers.Classifier
      weka.classifiers.immune.airs.AIRS2Parallel

All Implemented Interfaces:

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

public class AIRS2Parallel
extends weka.classifiers.Classifier
implements weka.core.OptionHandler, AIRSParameterDocumentation

Type: AIRS1 File: AIRS1.java Date: 07/01/2005 Description:

Author:

Jason Brownlee

See Also:

Serialized Form

Field Summary

static weka.core.Tag[]

TAGS_MERGE_MODE

Fields inherited from interface weka.classifiers.immune.airs.AIRSParameterDocumentation

PARAM_ARB_INSTANCES, PARAM_AT_INSTANCES, PARAM_ATS, PARAM_CLONAL_RATE, PARAM_HMR, PARAM_KNN, PARAM_MEM_INSTANCES, PARAM_MERGE, PARAM_MUTATION_RATE, PARAM_RESOURCES, PARAM_SEED, PARAM_STIMULATION, PARAM_THREADS

Constructor Summary

AIRS2Parallel()

Method Summary

java.lang.String	affinityThresholdScalarTipText()
void	buildClassifier(weka.core.Instances data)
double	classifyInstance(weka.core.Instance instance)
java.lang.String	clonalRateTipText()
double	getAffinityThresholdScalar()
AISModelClassifier	getClassifier()
double	getClonalRate()
double	getHypermutationRate()
int	getKnn()
int	getMemInitialPoolSize()
weka.core.SelectedTag	getMergeMode() Return the learning function
int	getNumInstancesAffinityThreshold()
int	getNumThreads()
java.lang.String[]	getOptions()
long	getSeed()
double	getStimulationValue()
double	getTotalResources()
java.lang.String	globalInfo()
java.lang.String	hypermutationRateTipText()
java.lang.String	knnTipText()
java.util.Enumeration	listOptions()
static void	main(java.lang.String[] argv)
java.lang.String	memInitialPoolSizeTipText()
java.lang.String	mergeModeTipText()
java.lang.String	numInstancesAffinityThresholdTipText()
java.lang.String	numThreadsTipText()
java.lang.String	seedTipText()
void	setAffinityThresholdScalar(double affinityThresholdScalar)
void	setClassifier(AISModelClassifier classifier)
void	setClonalRate(double clonalRate)
void	setHypermutationRate(double hypermutationRate)
void	setKnn(int knn)
void	setMemInitialPoolSize(int memInitialPoolSize)
void	setMergeMode(weka.core.SelectedTag l) Set learning functiom
void	setNumInstancesAffinityThreshold(int numInstancesAffinityThreshold)
void	setNumThreads(int numThreads)
void	setOptions(java.lang.String[] options)
void	setSeed(long seed)
void	setStimulationValue(double stimulationValue)
void	setTotalResources(double totalResources)
java.lang.String	stimulationValueTipText()
java.lang.String	toString()
java.lang.String	totalResourcesTipText()

Methods inherited from class weka.classifiers.Classifier

debugTipText, distributionForInstance, forName, getDebug, makeCopies, makeCopy, setDebug

Methods inherited from class java.lang.Object

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

Field Detail

TAGS_MERGE_MODE

public static final weka.core.Tag[] TAGS_MERGE_MODE

Constructor Detail

AIRS2Parallel

public AIRS2Parallel()

Method Detail

buildClassifier

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

Specified by:

buildClassifier in class weka.classifiers.Classifier

Parameters:

data -

Throws:

java.lang.Exception

classifyInstance

public double classifyInstance(weka.core.Instance instance)
                        throws java.lang.Exception

Overrides:

classifyInstance in class weka.classifiers.Classifier

Throws:

java.lang.Exception

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object

globalInfo

public java.lang.String globalInfo()

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

seedTipText

public java.lang.String seedTipText()

affinityThresholdScalarTipText

public java.lang.String affinityThresholdScalarTipText()

clonalRateTipText

public java.lang.String clonalRateTipText()

hypermutationRateTipText

public java.lang.String hypermutationRateTipText()

totalResourcesTipText

public java.lang.String totalResourcesTipText()

stimulationValueTipText

public java.lang.String stimulationValueTipText()

numInstancesAffinityThresholdTipText

public java.lang.String numInstancesAffinityThresholdTipText()

memInitialPoolSizeTipText

public java.lang.String memInitialPoolSizeTipText()

knnTipText

public java.lang.String knnTipText()

numThreadsTipText

public java.lang.String numThreadsTipText()

mergeModeTipText

public java.lang.String mergeModeTipText()

getAffinityThresholdScalar

public double getAffinityThresholdScalar()

setAffinityThresholdScalar

public void setAffinityThresholdScalar(double affinityThresholdScalar)

getClassifier

public AISModelClassifier getClassifier()

setClassifier

public void setClassifier(AISModelClassifier classifier)

getClonalRate

public double getClonalRate()

setClonalRate

public void setClonalRate(double clonalRate)

getHypermutationRate

public double getHypermutationRate()

setHypermutationRate

public void setHypermutationRate(double hypermutationRate)

getKnn

public int getKnn()

setKnn

public void setKnn(int knn)

getMemInitialPoolSize

public int getMemInitialPoolSize()

setMemInitialPoolSize

public void setMemInitialPoolSize(int memInitialPoolSize)

getNumInstancesAffinityThreshold

public int getNumInstancesAffinityThreshold()

setNumInstancesAffinityThreshold

public void setNumInstancesAffinityThreshold(int numInstancesAffinityThreshold)

getSeed

public long getSeed()

setSeed

public void setSeed(long seed)

getStimulationValue

public double getStimulationValue()

setStimulationValue

public void setStimulationValue(double stimulationValue)

getTotalResources

public double getTotalResources()

setTotalResources

public void setTotalResources(double totalResources)

getNumThreads

public int getNumThreads()

setNumThreads

public void setNumThreads(int numThreads)

setMergeMode

public void setMergeMode(weka.core.SelectedTag l)

Set learning functiom

Parameters:

l -

getMergeMode

public weka.core.SelectedTag getMergeMode()

Return the learning function

Returns:

main

public static void main(java.lang.String[] argv)