moa.clusterers

Class WekaClusteringAlgorithm

java.lang.Object

moa.AbstractMOAObject

moa.options.AbstractOptionHandler

moa.clusterers.AbstractClusterer

moa.clusterers.WekaClusteringAlgorithm

All Implemented Interfaces:

Serializable, Clusterer, AWTRenderable, MOAObject, OptionHandler

public class WekaClusteringAlgorithm
extends AbstractClusterer

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
IntOption	horizonOption
StringOption	parameterOption
MultiChoiceOption	wekaAlgorithmOption

Fields inherited from class moa.clusterers.AbstractClusterer

clustererRandom, clustering, evaluateMicroClusteringOption, modelContext, randomSeed, randomSeedOption, trainingWeightSeenByModel

Fields inherited from class moa.options.AbstractOptionHandler

classOptionNamesToPreparedObjects, options

Constructor Summary

Constructors

Constructor and Description
WekaClusteringAlgorithm()

Method Summary

Methods

Modifier and Type	Method and Description
Clustering	getClusteringResult()
weka.core.Instances	getDataset(int numdim, int numclass)
void	getModelDescription(StringBuilder out, int indent)
protected Measurement[]	getModelMeasurementsImpl()
String	getPurposeString() Gets the purpose of this object
double[]	getVotesForInstance(weka.core.Instance inst)
boolean	isRandomizable()
boolean	keepClassLabel()
void	resetLearningImpl()
void	trainOnInstanceImpl(weka.core.Instance inst)

Methods inherited from class moa.clusterers.AbstractClusterer

contextIsCompatible, copy, getAttributeNameString, getAWTRenderer, getClassLabelString, getClassNameString, getDescription, getMicroClusteringResult, getModelContext, getModelMeasurements, getNominalValueString, getSubClusterers, implementsMicroClusterer, modelAttIndexToInstanceAttIndex, modelAttIndexToInstanceAttIndex, prepareForUseImpl, resetLearning, setModelContext, setRandomSeed, trainingHasStarted, trainingWeightSeenByModel, trainOnInstance

Methods inherited from class moa.options.AbstractOptionHandler

discoverOptionsViaReflection, getCLICreationString, getOptions, getPreparedClassOption, getPreparedClassOption, prepareClassOptions, prepareForUse, prepareForUse

Methods inherited from class moa.AbstractMOAObject

copy, measureByteSize, measureByteSize, toString

Methods inherited from class java.lang.Object

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

Methods inherited from interface moa.options.OptionHandler

getCLICreationString, getOptions, prepareForUse, prepareForUse

Methods inherited from interface moa.MOAObject

measureByteSize

Field Detail

horizonOption

public IntOption horizonOption

wekaAlgorithmOption

public MultiChoiceOption wekaAlgorithmOption

parameterOption

public StringOption parameterOption

Constructor Detail

WekaClusteringAlgorithm

public WekaClusteringAlgorithm()

Method Detail

resetLearningImpl

public void resetLearningImpl()

Specified by:

resetLearningImpl in class AbstractClusterer

trainOnInstanceImpl

public void trainOnInstanceImpl(weka.core.Instance inst)

Specified by:

trainOnInstanceImpl in class AbstractClusterer

getClusteringResult

public Clustering getClusteringResult()

getDataset

public weka.core.Instances getDataset(int numdim,
                             int numclass)

getModelMeasurementsImpl

protected Measurement[] getModelMeasurementsImpl()

Specified by:

getModelMeasurementsImpl in class AbstractClusterer

getModelDescription

public void getModelDescription(StringBuilder out,
                       int indent)

Specified by:

getModelDescription in class AbstractClusterer

isRandomizable

public boolean isRandomizable()

getVotesForInstance

public double[] getVotesForInstance(weka.core.Instance inst)

keepClassLabel

public boolean keepClassLabel()

Specified by:

keepClassLabel in interface Clusterer

Overrides:

keepClassLabel in class AbstractClusterer

getPurposeString

public String getPurposeString()

Description copied from interface: OptionHandler

Gets the purpose of this object

Specified by:

getPurposeString in interface OptionHandler

Overrides:

getPurposeString in class AbstractClusterer

Returns:

the string with the purpose of this object