Package moa.classifiers.rules.multilabel.functions

Class MultiLabelNaiveBayes

java.lang.Object

moa.AbstractMOAObject

moa.options.AbstractOptionHandler

moa.classifiers.AbstractClassifier

moa.classifiers.AbstractMultiLabelLearner

moa.classifiers.multitarget.BasicMultiLabelLearner

moa.classifiers.rules.multilabel.functions.AbstractAMRulesFunctionBasicMlLearner

moa.classifiers.rules.multilabel.functions.MultiLabelNaiveBayes

All Implemented Interfaces:

Configurable, java.io.Serializable, CapabilitiesHandler, Classifier, MultiLabelClassifier, MultiLabelLearner, AMRulesFunction, AWTRenderable, Learner<Example<Instance>>, MOAObject, OptionHandler

public class MultiLabelNaiveBayes
extends AbstractAMRulesFunctionBasicMlLearner
implements MultiLabelClassifier, AMRulesFunction

Binary relevance with Naive Bayes

See Also:

Serialized Form

Field Summary

Fields inherited from class moa.classifiers.AbstractClassifier

classifierRandom, modelContext, randomSeed, trainingWeightSeenByModel

Fields inherited from class moa.options.AbstractOptionHandler

config

Fields inherited from class moa.classifiers.multitarget.BasicMultiLabelLearner

baseLearnerOption, ensemble, hasStarted, header, randomSeedOption

Constructor Summary

Constructors

Constructor	Description
MultiLabelNaiveBayes()

Method Summary

Modifier and Type	Method	Description
java.lang.String	getPurposeString()	Dictionary with option texts and objects
protected void	init()
void	resetWithMemory()

Methods inherited from class moa.classifiers.rules.multilabel.functions.AbstractAMRulesFunctionBasicMlLearner

selectOutputsToLearn

Methods inherited from class moa.classifiers.AbstractClassifier

contextIsCompatible, copy, correctlyClassifies, defineImmutableCapabilities, getAttributeNameString, getAWTRenderer, getClassLabelString, getClassNameString, getDescription, getModel, getModelContext, getModelMeasurements, getNominalValueString, getSubClassifiers, getSublearners, getVotesForInstance, modelAttIndexToInstanceAttIndex, modelAttIndexToInstanceAttIndex, prepareForUseImpl, resetLearning, setModelContext, setRandomSeed, trainingHasStarted, trainingWeightSeenByModel, trainOnInstance, trainOnInstance

Methods inherited from class moa.AbstractMOAObject

copy, measureByteSize, measureByteSize, toString

Methods inherited from class moa.classifiers.AbstractMultiLabelLearner

getPredictionForInstance, getPredictionForInstance, getVotesForInstance, trainOnInstanceImpl

Methods inherited from class moa.options.AbstractOptionHandler

getCLICreationString, getOptions, getPreparedClassOption, prepareClassOptions, prepareForUse, prepareForUse

Methods inherited from interface moa.classifiers.rules.multilabel.functions.AMRulesFunction

selectOutputsToLearn

Methods inherited from interface moa.gui.AWTRenderable

getAWTRenderer

Methods inherited from class moa.classifiers.multitarget.BasicMultiLabelLearner

getModelDescription, getModelMeasurementsImpl, getPredictionForInstance, isRandomizable, resetLearningImpl, trainOnInstanceImpl, transformInstance

Methods inherited from interface moa.capabilities.CapabilitiesHandler

getCapabilities

Methods inherited from interface moa.classifiers.Classifier

copy, correctlyClassifies, getPredictionForInstance, getSubClassifiers, getVotesForInstance, trainOnInstance

Methods inherited from interface moa.learners.Learner

getModel, getModelContext, getModelMeasurements, getPredictionForInstance, getSublearners, getVotesForInstance, isRandomizable, resetLearning, setModelContext, setRandomSeed, trainingHasStarted, trainingWeightSeenByModel, trainOnInstance

Methods inherited from interface moa.MOAObject

getDescription, measureByteSize

Methods inherited from interface moa.classifiers.MultiLabelLearner

getPredictionForInstance, trainOnInstanceImpl

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

Constructor Detail

MultiLabelNaiveBayes

public MultiLabelNaiveBayes()

Method Detail

init

protected void init()

Overrides:

init in class BasicMultiLabelLearner

getPurposeString

public java.lang.String getPurposeString()

Description copied from class: AbstractOptionHandler

Dictionary with option texts and objects

Specified by:

getPurposeString in interface OptionHandler

Overrides:

getPurposeString in class AbstractClassifier

Returns:

the string with the purpose of this object

resetWithMemory

public void resetWithMemory()

Specified by:

resetWithMemory in interface AMRulesFunction

Specified by:

resetWithMemory in class AbstractAMRulesFunctionBasicMlLearner