meka.classifiers.multilabel.incremental.meta

Class BaggingMLUpdateable

java.lang.Object

weka.classifiers.AbstractClassifier

weka.classifiers.SingleClassifierEnhancer

meka.classifiers.multilabel.ProblemTransformationMethod

meka.classifiers.multilabel.meta.MetaProblemTransformationMethod

meka.classifiers.multilabel.meta.EnsembleML

meka.classifiers.multilabel.incremental.meta.BaggingMLUpdateable

All Implemented Interfaces:

Serializable, Cloneable, IncrementalMultiLabelClassifier, MultiLabelClassifier, weka.classifiers.Classifier, weka.classifiers.UpdateableClassifier, weka.core.BatchPredictor, weka.core.CapabilitiesHandler, weka.core.CapabilitiesIgnorer, weka.core.CommandlineRunnable, weka.core.OptionHandler, weka.core.Randomizable, weka.core.RevisionHandler, weka.core.TechnicalInformationHandler

public class BaggingMLUpdateable
extends EnsembleML
implements IncrementalMultiLabelClassifier, weka.core.TechnicalInformationHandler

BaggingMLUpdatable.java - Using the OzaBag scheme (see OzaBag.java from MOA)). See also: N. Oza and S. Russell. Online bagging and boosting. In Artificial Intelligence and Statistics 2001, pages 105-112. Morgan Kaufmann, 2001.

Version:

Jan 2013

Author:

Jesse Read

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
protected Random	random

Fields inherited from class meka.classifiers.multilabel.meta.MetaProblemTransformationMethod

m_BagSizePercent, m_Classifiers, m_NumIterations, m_Seed

Fields inherited from class meka.classifiers.multilabel.ProblemTransformationMethod

m_InstancesTemplate

Fields inherited from class weka.classifiers.SingleClassifierEnhancer

m_Classifier

Fields inherited from class weka.classifiers.AbstractClassifier

BATCH_SIZE_DEFAULT, m_BatchSize, m_Debug, m_DoNotCheckCapabilities, m_numDecimalPlaces, NUM_DECIMAL_PLACES_DEFAULT

Constructor Summary

Constructors

Constructor and Description
BaggingMLUpdateable()

Method Summary

Modifier and Type	Method and Description
void	buildClassifier(weka.core.Instances D)
protected String	defaultClassifierString()
weka.core.TechnicalInformation	getTechnicalInformation()
String	globalInfo() Description to display in the GUI.
static void	main(String[] args)
protected static int	poisson(double lambda, Random r)
void	updateClassifier(weka.core.Instance x)

Methods inherited from class meka.classifiers.multilabel.meta.EnsembleML

getRevision

Methods inherited from class meka.classifiers.multilabel.meta.MetaProblemTransformationMethod

bagSizePercentTipText, distributionForInstance, getBagSizePercent, getModel, getNumIterations, getOptions, getSeed, listOptions, numIterationsTipText, seedTipText, setBagSizePercent, setNumIterations, setOptions, setSeed

Methods inherited from class meka.classifiers.multilabel.ProblemTransformationMethod

evaluation, getCapabilities, getTemplate, makeCopies, runClassifier, testCapabilities, toString

Methods inherited from class weka.classifiers.SingleClassifierEnhancer

classifierTipText, defaultClassifierOptions, getClassifier, getClassifierSpec, postExecution, preExecution, setClassifier

Methods inherited from class weka.classifiers.AbstractClassifier

batchSizeTipText, classifyInstance, debugTipText, distributionsForInstances, doNotCheckCapabilitiesTipText, forName, getBatchSize, getDebug, getDoNotCheckCapabilities, getNumDecimalPlaces, implementsMoreEfficientBatchPrediction, makeCopies, makeCopy, numDecimalPlacesTipText, run, runClassifier, setBatchSize, setDebug, setDoNotCheckCapabilities, setNumDecimalPlaces

Methods inherited from class java.lang.Object

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

Methods inherited from interface meka.classifiers.multilabel.MultiLabelClassifier

debugTipText, getDebug, getModel, setDebug

Methods inherited from interface weka.classifiers.Classifier

classifyInstance, distributionForInstance, getCapabilities

Methods inherited from interface weka.core.OptionHandler

getOptions, listOptions, setOptions

Field Detail

random

protected Random random

Constructor Detail

BaggingMLUpdateable

public BaggingMLUpdateable()

Method Detail

globalInfo

public String globalInfo()

Description to display in the GUI.

Overrides:

globalInfo in class EnsembleML

Returns:

the description

defaultClassifierString

protected String defaultClassifierString()

Overrides:

defaultClassifierString in class MetaProblemTransformationMethod

buildClassifier

public void buildClassifier(weka.core.Instances D)
                     throws Exception

Specified by:

buildClassifier in interface weka.classifiers.Classifier

Overrides:

buildClassifier in class EnsembleML

Throws:

Exception

updateClassifier

public void updateClassifier(weka.core.Instance x)
                      throws Exception

Specified by:

updateClassifier in interface weka.classifiers.UpdateableClassifier

Throws:

Exception

poisson

protected static int poisson(double lambda,
                             Random r)

getTechnicalInformation

public weka.core.TechnicalInformation getTechnicalInformation()

Specified by:

getTechnicalInformation in interface weka.core.TechnicalInformationHandler

main

public static void main(String[] args)