moa.classifiers.multilabel

Class MEKAClassifier

java.lang.Object

moa.AbstractMOAObject

moa.options.AbstractOptionHandler

moa.classifiers.AbstractClassifier

moa.classifiers.meta.WEKAClassifier

moa.classifiers.multilabel.MEKAClassifier

All Implemented Interfaces:

Serializable, Classifier, AWTRenderable, MOAObject, OptionHandler

public class MEKAClassifier
extends WEKAClassifier

Class for using a MEKA classifier. NOTE: This class only exists to adjust the classIndex by +1 We can use the standard WEKAClassifier if we set -c L where, L = the number of labels + 1 (Because MOA understands that L specified on the command line is the (L-1)th index).

Version:

$Revision: 1 $

Author:

Jesse Read (jesse@tsc.uc3m.es)

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
protected int	m_L

Fields inherited from class moa.classifiers.meta.WEKAClassifier

baseLearnerOption, classifier, instancesBuffer, isBufferStoring, isClassificationEnabled, numberInstances, sampleFrequencyOption, widthInitOption, widthOption

Fields inherited from class moa.classifiers.AbstractClassifier

classifierRandom, modelContext, randomSeed, randomSeedOption, trainingWeightSeenByModel

Fields inherited from class moa.options.AbstractOptionHandler

classOptionNamesToPreparedObjects, options

Constructor Summary

Constructors

Constructor and Description
MEKAClassifier()

Method Summary

Methods

Modifier and Type	Method and Description
void	setModelContext(InstancesHeader raw_header) Sets the reference to the header of the data stream.
void	trainOnInstanceImpl(weka.core.Instance inst) Trains this classifier incrementally using the given instance. The reason for ...Impl methods: ease programmer burden by not requiring them to remember calls to super in overridden methods.

Methods inherited from class moa.classifiers.meta.WEKAClassifier

buildClassifier, createWekaClassifier, getModelDescription, getModelMeasurementsImpl, getPurposeString, getVotesForInstance, isRandomizable, resetLearningImpl

Methods inherited from class moa.classifiers.AbstractClassifier

contextIsCompatible, copy, correctlyClassifies, getAttributeNameString, getAWTRenderer, getClassLabelString, getClassNameString, getDescription, getModelContext, getModelMeasurements, getNominalValueString, getSubClassifiers, modelAttIndexToInstanceAttIndex, modelAttIndexToInstanceAttIndex, prepareForUseImpl, resetLearning, 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

m_L

protected int m_L

Constructor Detail

MEKAClassifier

public MEKAClassifier()

Method Detail

setModelContext

public void setModelContext(InstancesHeader raw_header)

Description copied from interface: Classifier

Sets the reference to the header of the data stream. The header of the data stream is extended from WEKA Instances. This header is needed to know the number of classes and attributes

Specified by:

setModelContext in interface Classifier

Overrides:

setModelContext in class AbstractClassifier

Parameters:

raw_header - the reference to the data stream header

trainOnInstanceImpl

public void trainOnInstanceImpl(weka.core.Instance inst)

Description copied from class: AbstractClassifier

Trains this classifier incrementally using the given instance.

The reason for ...Impl methods: ease programmer burden by not requiring them to remember calls to super in overridden methods. Note that this will produce compiler errors if not overridden.

Overrides:

trainOnInstanceImpl in class WEKAClassifier

Parameters:

inst - the instance to be used for training