Package moa.classifiers.multitarget

Class BasicMultiLabelLearner

java.lang.Object

moa.AbstractMOAObject

moa.options.AbstractOptionHandler

moa.classifiers.AbstractClassifier

moa.classifiers.AbstractMultiLabelLearner

moa.classifiers.multitarget.BasicMultiLabelLearner

All Implemented Interfaces:

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

Direct Known Subclasses:

AbstractAMRulesFunctionBasicMlLearner, BasicMultiLabelClassifier

public class BasicMultiLabelLearner
extends AbstractMultiLabelLearner

Binary relevance Multilabel Classifier

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field	Description
ClassOption	baseLearnerOption
protected Classifier[]	ensemble
protected boolean	hasStarted
protected InstancesHeader[]	header
IntOption	randomSeedOption

Fields inherited from class moa.classifiers.AbstractClassifier

classifierRandom, modelContext, randomSeed, trainingWeightSeenByModel

Fields inherited from class moa.options.AbstractOptionHandler

config

Constructor Summary

Constructors

Constructor	Description
BasicMultiLabelLearner()

Method Summary

Modifier and Type	Method	Description
void	getModelDescription(java.lang.StringBuilder out, int indent)	Returns a string representation of the model.
protected Measurement[]	getModelMeasurementsImpl()	Gets the current measurements of this classifier. The reason for ...Impl methods: ease programmer burden by not requiring them to remember calls to super in overridden methods.
Prediction	getPredictionForInstance(MultiLabelInstance instance)
protected void	init()
boolean	isRandomizable()	Gets whether this learner needs a random seed.
void	resetLearningImpl()	Resets this classifier.
void	trainOnInstanceImpl(MultiLabelInstance instance)
protected Instance	transformInstance(MultiLabelInstance inst, int outputIndex)

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 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

Field Detail

randomSeedOption

public IntOption randomSeedOption

baseLearnerOption

public ClassOption baseLearnerOption

ensemble

protected Classifier[] ensemble

hasStarted

protected boolean hasStarted

header

protected InstancesHeader[] header

Constructor Detail

BasicMultiLabelLearner

public BasicMultiLabelLearner()

Method Detail

init

protected void init()

resetLearningImpl

public void resetLearningImpl()

Description copied from class: AbstractClassifier

Resets this classifier. It must be similar to starting a new classifier from scratch.

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.

Specified by:

resetLearningImpl in class AbstractClassifier

trainOnInstanceImpl

public void trainOnInstanceImpl(MultiLabelInstance instance)

Specified by:

trainOnInstanceImpl in interface MultiLabelLearner

Specified by:

trainOnInstanceImpl in class AbstractMultiLabelLearner

transformInstance

protected Instance transformInstance(MultiLabelInstance inst,
                                     int outputIndex)

isRandomizable

public boolean isRandomizable()

Description copied from interface: Learner

Gets whether this learner needs a random seed. Examples of methods that needs a random seed are bagging and boosting.

Returns:

true if the learner needs a random seed.

getModelMeasurementsImpl

protected Measurement[] getModelMeasurementsImpl()

Description copied from class: AbstractClassifier

Gets the current measurements of this classifier.

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.

Specified by:

getModelMeasurementsImpl in class AbstractClassifier

Returns:

an array of measurements to be used in evaluation tasks

getModelDescription

public void getModelDescription(java.lang.StringBuilder out,
                                int indent)

Description copied from class: AbstractClassifier

Returns a string representation of the model.

Specified by:

getModelDescription in class AbstractClassifier

Parameters:

out - the stringbuilder to add the description

indent - the number of characters to indent

getPredictionForInstance

public Prediction getPredictionForInstance(MultiLabelInstance instance)

Specified by:

getPredictionForInstance in interface MultiLabelLearner

Specified by:

getPredictionForInstance in class AbstractMultiLabelLearner