Package moa.classifiers.trees
Class HoeffdingTreeClassifLeaves
- java.lang.Object
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- moa.AbstractMOAObject
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- moa.options.AbstractOptionHandler
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- moa.classifiers.AbstractClassifier
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- moa.classifiers.trees.HoeffdingTree
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- moa.classifiers.trees.HoeffdingTreeClassifLeaves
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- All Implemented Interfaces:
Configurable
,Serializable
,CapabilitiesHandler
,Classifier
,MultiClassClassifier
,AWTRenderable
,Learner<Example<Instance>>
,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
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Nested Class Summary
Nested Classes Modifier and Type Class Description class
HoeffdingTreeClassifLeaves.LearningNodeClassifier
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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
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Field Summary
Fields Modifier and Type Field Description ClassOption
learnerOption
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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
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Fields inherited from class moa.classifiers.AbstractClassifier
classifierRandom, modelContext, randomSeed, randomSeedOption, trainingWeightSeenByModel
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Fields inherited from class moa.options.AbstractOptionHandler
config
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Constructor Summary
Constructors Constructor Description HoeffdingTreeClassifLeaves()
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method 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)
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Methods inherited from class moa.classifiers.trees.HoeffdingTree
activateLearningNode, calcByteSize, computeHoeffdingBound, deactivateAllLeaves, deactivateLearningNode, defineImmutableCapabilities, enforceTrackerLimit, estimateModelByteSizes, findLearningNodes, findLearningNodes, getModelDescription, getModelMeasurementsImpl, getNodeCount, getPurposeString, getTreeRoot, getVotesForInstance, isRandomizable, measureByteSize, measureTreeDepth, newLearningNode, newNominalClassObserver, newNumericClassObserver, newSplitNode, newSplitNode, resetLearningImpl, trainOnInstanceImpl
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Methods inherited from class moa.classifiers.AbstractClassifier
contextIsCompatible, copy, correctlyClassifies, getAttributeNameString, getAWTRenderer, getClassLabelString, getClassNameString, getDescription, getModel, getModelContext, getModelMeasurements, getNominalValueString, getPredictionForInstance, getPredictionForInstance, getSubClassifiers, getSublearners, getVotesForInstance, modelAttIndexToInstanceAttIndex, modelAttIndexToInstanceAttIndex, prepareForUseImpl, resetLearning, setModelContext, setRandomSeed, trainingHasStarted, trainingWeightSeenByModel, trainOnInstance, trainOnInstance
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Methods inherited from class moa.options.AbstractOptionHandler
getCLICreationString, getOptions, getPreparedClassOption, prepareClassOptions, prepareForUse, prepareForUse
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Methods inherited from class moa.AbstractMOAObject
copy, measureByteSize, toString
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Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
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Methods inherited from interface moa.capabilities.CapabilitiesHandler
getCapabilities
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Methods inherited from interface moa.options.OptionHandler
getCLICreationString, getOptions, prepareForUse, prepareForUse
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Field Detail
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learnerOption
public ClassOption learnerOption
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Method Detail
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newLearningNode
protected HoeffdingTree.LearningNode newLearningNode(double[] initialClassObservations)
- Overrides:
newLearningNode
in classHoeffdingTree
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newLearningNode
protected HoeffdingTree.LearningNode newLearningNode(double[] initialClassObservations, Classifier cl)
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attemptToSplit
protected void attemptToSplit(HoeffdingTree.ActiveLearningNode node, HoeffdingTree.SplitNode parent, int parentIndex)
- Overrides:
attemptToSplit
in classHoeffdingTree
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