Package moa.classifiers.meta

Class AdaptiveRandomForest.ARFBaseLearner

java.lang.Object

moa.AbstractMOAObject

moa.classifiers.meta.AdaptiveRandomForest.ARFBaseLearner

All Implemented Interfaces:

java.io.Serializable, MOAObject

Enclosing class:

AdaptiveRandomForest

protected final class AdaptiveRandomForest.ARFBaseLearner
extends AbstractMOAObject

Inner class that represents a single tree member of the forest. It contains some analysis information, such as the numberOfDriftsDetected,

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field	Description
protected AdaptiveRandomForest.ARFBaseLearner	bkgLearner
ARFHoeffdingTree	classifier
long	createdOn
protected ChangeDetector	driftDetectionMethod
protected ClassOption	driftOption
BasicClassificationPerformanceEvaluator	evaluator
int	indexOriginal
boolean	isBackgroundLearner
long	lastDriftOn
long	lastWarningOn
protected int	numberOfDriftsDetected
protected int	numberOfWarningsDetected
boolean	useBkgLearner
boolean	useDriftDetector
protected ChangeDetector	warningDetectionMethod
protected ClassOption	warningOption

Constructor Summary

Constructors

Constructor	Description
ARFBaseLearner(int indexOriginal, ARFHoeffdingTree instantiatedClassifier, BasicClassificationPerformanceEvaluator evaluatorInstantiated, long instancesSeen, boolean useBkgLearner, boolean useDriftDetector, ClassOption driftOption, ClassOption warningOption, boolean isBackgroundLearner)

Method Summary

Modifier and Type	Method	Description
void	getDescription(java.lang.StringBuilder sb, int indent)	Returns a string representation of this object.
double[]	getVotesForInstance(Instance instance)
void	reset()
void	trainOnInstance(Instance instance, double weight, long instancesSeen)

Methods inherited from class moa.AbstractMOAObject

copy, copy, measureByteSize, measureByteSize, toString

Methods inherited from class java.lang.Object

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

Field Detail

indexOriginal

public int indexOriginal

createdOn

public long createdOn

lastDriftOn

public long lastDriftOn

lastWarningOn

public long lastWarningOn

classifier

public ARFHoeffdingTree classifier

isBackgroundLearner

public boolean isBackgroundLearner

driftOption

protected ClassOption driftOption

warningOption

protected ClassOption warningOption

driftDetectionMethod

protected ChangeDetector driftDetectionMethod

warningDetectionMethod

protected ChangeDetector warningDetectionMethod

useBkgLearner

public boolean useBkgLearner

useDriftDetector

public boolean useDriftDetector

bkgLearner

protected AdaptiveRandomForest.ARFBaseLearner bkgLearner

evaluator

public BasicClassificationPerformanceEvaluator evaluator

numberOfDriftsDetected

protected int numberOfDriftsDetected

numberOfWarningsDetected

protected int numberOfWarningsDetected

Constructor Detail

ARFBaseLearner

public ARFBaseLearner(int indexOriginal,
                      ARFHoeffdingTree instantiatedClassifier,
                      BasicClassificationPerformanceEvaluator evaluatorInstantiated,
                      long instancesSeen,
                      boolean useBkgLearner,
                      boolean useDriftDetector,
                      ClassOption driftOption,
                      ClassOption warningOption,
                      boolean isBackgroundLearner)

Method Detail

reset

public void reset()

trainOnInstance

public void trainOnInstance(Instance instance,
                            double weight,
                            long instancesSeen)

getVotesForInstance

public double[] getVotesForInstance(Instance instance)

getDescription

public void getDescription(java.lang.StringBuilder sb,
                           int indent)

Description copied from interface: MOAObject

Returns a string representation of this object. Used in AbstractMOAObject.toString to give a string representation of the object.

Parameters:

sb - the stringbuilder to add the description

indent - the number of characters to indent