Package moa.classifiers.rules.multilabel.functions

Class AbstractAMRulesFunctionBasicMlLearner

java.lang.Object

moa.AbstractMOAObject

moa.options.AbstractOptionHandler

moa.classifiers.AbstractClassifier

moa.classifiers.AbstractMultiLabelLearner

moa.classifiers.multitarget.BasicMultiLabelLearner

moa.classifiers.rules.multilabel.functions.AbstractAMRulesFunctionBasicMlLearner

All Implemented Interfaces:

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

Direct Known Subclasses:

MultiLabelNaiveBayes, MultiLabelPerceptronClassification, MultiTargetMeanRegressor, MultiTargetPerceptronRegressor

public abstract class AbstractAMRulesFunctionBasicMlLearner
extends BasicMultiLabelLearner
implements AMRulesFunction

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
AbstractAMRulesFunctionBasicMlLearner()

Method Summary

Modifier and Type	Method	Description
abstract void	resetWithMemory()
void	selectOutputsToLearn(int[] outputsToLearn)

Methods inherited from class moa.classifiers.AbstractClassifier

contextIsCompatible, copy, correctlyClassifies, defineImmutableCapabilities, getAttributeNameString, getAWTRenderer, getClassLabelString, getClassNameString, getDescription, getModel, getModelContext, getModelMeasurements, getNominalValueString, getPurposeString, 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.gui.AWTRenderable

getAWTRenderer

Methods inherited from class moa.classifiers.multitarget.BasicMultiLabelLearner

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

Methods inherited from interface moa.capabilities.CapabilitiesHandler

getCapabilities

Methods inherited from interface moa.classifiers.Classifier

copy, correctlyClassifies, getSubClassifiers, trainOnInstance

Methods inherited from interface moa.learners.Learner

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

Methods inherited from interface moa.MOAObject

getDescription, measureByteSize

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, getPurposeString, prepareForUse, prepareForUse

Constructor Detail

AbstractAMRulesFunctionBasicMlLearner

public AbstractAMRulesFunctionBasicMlLearner()

Method Detail

resetWithMemory

public abstract void resetWithMemory()

Specified by:

resetWithMemory in interface AMRulesFunction

selectOutputsToLearn

public void selectOutputsToLearn(int[] outputsToLearn)

Specified by:

selectOutputsToLearn in interface AMRulesFunction