moa.classifiers.multilabel

Class HoeffdingTreeClassifLeaves

java.lang.Object

moa.AbstractMOAObject

moa.options.AbstractOptionHandler

moa.classifiers.AbstractClassifier

moa.classifiers.trees.HoeffdingTree

moa.classifiers.multilabel.HoeffdingTreeClassifLeaves

All Implemented Interfaces:

Serializable, Classifier, AWTRenderable, MOAObject, OptionHandler

Direct Known Subclasses:

MultilabelHoeffdingTree

public class HoeffdingTreeClassifLeaves
extends HoeffdingTree

Hoeffding Tree that have a classifier at the leaves. A Hoeffding tree is an incremental, anytime decision tree induction algorithm that is capable of learning from massive data streams, assuming that the distribution generating examples does not change over time.

See Also:

Serialized Form

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
class	HoeffdingTreeClassifLeaves.LearningNodeClassifier

Nested classes/interfaces inherited from class moa.classifiers.trees.HoeffdingTree

HoeffdingTree.ActiveLearningNode, HoeffdingTree.FoundNode, HoeffdingTree.InactiveLearningNode, HoeffdingTree.LearningNode, HoeffdingTree.LearningNodeNB, HoeffdingTree.LearningNodeNBAdaptive, HoeffdingTree.Node, HoeffdingTree.SplitNode

Field Summary

Fields

Modifier and Type	Field and Description
ClassOption	learnerOption

Fields inherited from class moa.classifiers.trees.HoeffdingTree

activeLeafByteSizeEstimate, activeLeafNodeCount, binarySplitsOption, byteSizeEstimateOverheadFraction, decisionNodeCount, gracePeriodOption, growthAllowed, inactiveLeafByteSizeEstimate, inactiveLeafNodeCount, leafpredictionOption, maxByteSizeOption, memoryEstimatePeriodOption, nbThresholdOption, nominalEstimatorOption, noPrePruneOption, numericEstimatorOption, removePoorAttsOption, splitConfidenceOption, splitCriterionOption, stopMemManagementOption, tieThresholdOption, treeRoot

Fields inherited from class moa.classifiers.AbstractClassifier

classifierRandom, modelContext, randomSeed, randomSeedOption, trainingWeightSeenByModel

Fields inherited from class moa.options.AbstractOptionHandler

classOptionNamesToPreparedObjects, options

Constructor Summary

Constructors

Constructor and Description
HoeffdingTreeClassifLeaves()

Method Summary

Methods

Modifier and Type	Method and Description
protected void	attemptToSplit(HoeffdingTree.ActiveLearningNode node, HoeffdingTree.SplitNode parent, int parentIndex)
protected HoeffdingTree.LearningNode	newLearningNode(double[] initialClassObservations)
protected HoeffdingTree.LearningNode	newLearningNode(double[] initialClassObservations, Classifier cl)

Methods inherited from class moa.classifiers.trees.HoeffdingTree

activateLearningNode, calcByteSize, computeHoeffdingBound, deactivateAllLeaves, deactivateLearningNode, enforceTrackerLimit, estimateModelByteSizes, findLearningNodes, findLearningNodes, getModelDescription, getModelMeasurementsImpl, getPurposeString, getVotesForInstance, isRandomizable, measureByteSize, measureTreeDepth, newLearningNode, newNominalClassObserver, newNumericClassObserver, newSplitNode, newSplitNode, resetLearningImpl, trainOnInstanceImpl

Methods inherited from class moa.classifiers.AbstractClassifier

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

Methods inherited from class moa.options.AbstractOptionHandler

discoverOptionsViaReflection, getCLICreationString, getOptions, getPreparedClassOption, getPreparedClassOption, prepareClassOptions, prepareForUse, prepareForUse

Methods inherited from class moa.AbstractMOAObject

copy, measureByteSize, toString

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

Field Detail

learnerOption

public ClassOption learnerOption

Constructor Detail

HoeffdingTreeClassifLeaves

public HoeffdingTreeClassifLeaves()

Method Detail

newLearningNode

protected HoeffdingTree.LearningNode newLearningNode(double[] initialClassObservations)

Overrides:

newLearningNode in class HoeffdingTree

newLearningNode

protected HoeffdingTree.LearningNode newLearningNode(double[] initialClassObservations,
                                         Classifier cl)

attemptToSplit

protected void attemptToSplit(HoeffdingTree.ActiveLearningNode node,
                  HoeffdingTree.SplitNode parent,
                  int parentIndex)

Overrides:

attemptToSplit in class HoeffdingTree