moa.classifiers.rules.core

Class RuleActiveRegressionNode

java.lang.Object

moa.AbstractMOAObject

moa.classifiers.trees.HoeffdingTree.Node

moa.classifiers.trees.HoeffdingTree.LearningNode

moa.classifiers.trees.HoeffdingTree.ActiveLearningNode

moa.classifiers.rules.core.RuleActiveLearningNode

moa.classifiers.rules.core.RuleActiveRegressionNode

All Implemented Interfaces:

Serializable, MOAObject

public class RuleActiveRegressionNode
extends RuleActiveLearningNode

A modified ActiveLearningNode that uses a Perceptron as the leaf node model, and ensures that the class values sent to the attribute observers are not truncated to ints if regression is being performed

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
protected Perceptron	perceptron
protected TargetMean	targetMean

Fields inherited from class moa.classifiers.rules.core.RuleActiveLearningNode

amRules, bestSuggestion, changeDetection, nodeStatistics, owner, pageHinckleyTest, predictionFunction, splitIndex, statisticsBranchSplit, statisticsNewRuleActiveLearningNode, statisticsOtherBranchSplit

Fields inherited from class moa.classifiers.trees.HoeffdingTree.ActiveLearningNode

attributeObservers, isInitialized, weightSeenAtLastSplitEvaluation

Fields inherited from class moa.classifiers.trees.HoeffdingTree.Node

observedClassDistribution

Constructor Summary

Constructors

Constructor and Description
RuleActiveRegressionNode()
RuleActiveRegressionNode(double[] initialClassObservations)
RuleActiveRegressionNode(Rule.Builder builder)

Method Summary

Methods

Modifier and Type	Method and Description
double	computeError(weka.core.Instance instance)
double	computeSD(double squaredVal, double val, long size)
protected void	debuganomaly(weka.core.Instance instance, double uni, double multi, double probability)
AttributeSplitSuggestion[]	getBestSplitSuggestions(SplitCriterion criterion)
double	getCurrentError()
int	getLearnerToUse(weka.core.Instance instance, int predMode)
double	getNormalizedPrediction(weka.core.Instance instance)
Perceptron	getPerceptron()
double[]	getPrediction(weka.core.Instance instance, int predictionMode)
double[]	getSimplePrediction()
TargetMean	getTargetMean()
double	getWeightSeen()
void	initialize(RuleActiveLearningNode oldLearningNode)
boolean	isAnomaly(weka.core.Instance instance, double uniVariateAnomalyProbabilityThreshold, double multiVariateAnomalyProbabilityThreshold, int numberOfInstanceesForAnomaly)
void	learnFromInstance(weka.core.Instance inst)
void	setPerceptron(Perceptron perceptron)
void	setTargetMean(TargetMean targetMean)
boolean	tryToExpand(double splitConfidence, double tieThreshold)
void	updateStatistics(weka.core.Instance instance)

Methods inherited from class moa.classifiers.rules.core.RuleActiveLearningNode

computeHoeffdingBound, computeProbability, debug, getAttributeObservers, getBestSuggestion, getInstancesSeen, getNodeStatistics, getPrediction, getSplitIndex, getStatisticsBranchSplit, getStatisticsNewRuleActiveLearningNode, getStatisticsOtherBranchSplit, learnFromInstance, newNumericClassObserver, setBestSuggestion, setSplitIndex, setStatisticsBranchSplit, setStatisticsNewRuleActiveLearningNode, setStatisticsOtherBranchSplit, updateChangeDetection, updatePageHinckleyTest

Methods inherited from class moa.classifiers.trees.HoeffdingTree.ActiveLearningNode

calcByteSize, disableAttribute, getBestSplitSuggestions, getWeightSeenAtLastSplitEvaluation, setWeightSeenAtLastSplitEvaluation

Methods inherited from class moa.classifiers.trees.HoeffdingTree.Node

calcByteSizeIncludingSubtree, calculatePromise, describeSubtree, filterInstanceToLeaf, getClassVotes, getDescription, getObservedClassDistribution, isLeaf, observedClassDistributionIsPure, subtreeDepth

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

perceptron

protected Perceptron perceptron

targetMean

protected TargetMean targetMean

Constructor Detail

RuleActiveRegressionNode

public RuleActiveRegressionNode(double[] initialClassObservations)

RuleActiveRegressionNode

public RuleActiveRegressionNode()

RuleActiveRegressionNode

public RuleActiveRegressionNode(Rule.Builder builder)

Method Detail

getPerceptron

public Perceptron getPerceptron()

setPerceptron

public void setPerceptron(Perceptron perceptron)

getTargetMean

public TargetMean getTargetMean()

setTargetMean

public void setTargetMean(TargetMean targetMean)

updateStatistics

public void updateStatistics(weka.core.Instance instance)

Overrides:

updateStatistics in class RuleActiveLearningNode

getPrediction

public double[] getPrediction(weka.core.Instance instance,
                     int predictionMode)

Specified by:

getPrediction in class RuleActiveLearningNode

getNormalizedPrediction

public double getNormalizedPrediction(weka.core.Instance instance)

getLearnerToUse

public int getLearnerToUse(weka.core.Instance instance,
                  int predMode)

Specified by:

getLearnerToUse in class RuleActiveLearningNode

computeSD

public double computeSD(double squaredVal,
               double val,
               long size)

computeError

public double computeError(weka.core.Instance instance)

Specified by:

computeError in class RuleActiveLearningNode

isAnomaly

public boolean isAnomaly(weka.core.Instance instance,
                double uniVariateAnomalyProbabilityThreshold,
                double multiVariateAnomalyProbabilityThreshold,
                int numberOfInstanceesForAnomaly)

Specified by:

isAnomaly in class RuleActiveLearningNode

debuganomaly

protected void debuganomaly(weka.core.Instance instance,
                double uni,
                double multi,
                double probability)

initialize

public void initialize(RuleActiveLearningNode oldLearningNode)

Specified by:

initialize in class RuleActiveLearningNode

getSimplePrediction

public double[] getSimplePrediction()

Specified by:

getSimplePrediction in class RuleActiveLearningNode

tryToExpand

public boolean tryToExpand(double splitConfidence,
                  double tieThreshold)

Specified by:

tryToExpand in class RuleActiveLearningNode

learnFromInstance

public void learnFromInstance(weka.core.Instance inst)

Specified by:

learnFromInstance in class RuleActiveLearningNode

getBestSplitSuggestions

public AttributeSplitSuggestion[] getBestSplitSuggestions(SplitCriterion criterion)

getWeightSeen

public double getWeightSeen()

Overrides:

getWeightSeen in class HoeffdingTree.ActiveLearningNode

getCurrentError

public double getCurrentError()

Specified by:

getCurrentError in class RuleActiveLearningNode