Uses of Class
moa.classifiers.core.driftdetection.AbstractChangeDetector
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Packages that use AbstractChangeDetector Package Description moa.classifiers.core.driftdetection moa.classifiers.rules.core.changedetection moa.classifiers.trees.iadem -
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Uses of AbstractChangeDetector in moa.classifiers.core.driftdetection
Subclasses of AbstractChangeDetector in moa.classifiers.core.driftdetection Modifier and Type Class Description class
ADWINChangeDetector
Drift detection method based in ADWIN.class
CusumDM
Drift detection method based in Cusumclass
DDM
Drift detection method based in DDM method of Joao Gama SBIA 2004.class
EDDM
Drift detection method based in EDDM method of Manuel Baena et al.class
EnsembleDriftDetectionMethods
Ensemble Drift detection methodclass
EWMAChartDM
Drift detection method based in EWMA Charts of Ross, Adams, Tasoulis and Hand 2012class
GeometricMovingAverageDM
Drift detection method based in Geometric Moving Average Testclass
HDDM_A_Test
Online drift detection method based on Hoeffding's bounds.class
HDDM_W_Test
Online drift detection method based on McDiarmid's bounds.class
PageHinkleyDM
Drift detection method based in Page Hinkley Test.class
RDDM
class
SEEDChangeDetector
Drift detection method as published in:class
SeqDrift1ChangeDetector
SeqDrift1ChangeDetector.java.class
SeqDrift2ChangeDetector
SeqDriftChangeDetector.java.class
STEPD
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Uses of AbstractChangeDetector in moa.classifiers.rules.core.changedetection
Subclasses of AbstractChangeDetector in moa.classifiers.rules.core.changedetection Modifier and Type Class Description class
NoChangeDetection
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Uses of AbstractChangeDetector in moa.classifiers.trees.iadem
Fields in moa.classifiers.trees.iadem declared as AbstractChangeDetector Modifier and Type Field Description protected AbstractChangeDetector
Iadem3Subtree. errorEstimator
protected AbstractChangeDetector
Iadem3.AdaptiveNominalVirtualNode. estimador
protected AbstractChangeDetector
Iadem2. estimator
protected AbstractChangeDetector
Iadem3.AdaptiveLeafNode. estimator
protected AbstractChangeDetector
Iadem3.AdaptiveNumericVirtualNode. estimator
protected AbstractChangeDetector
Iadem3.AdaptiveSplitNode. estimator
protected AbstractChangeDetector
Iadem2.LeafNodeWeightedVote. majorityClassError
protected AbstractChangeDetector
Iadem3.AdaptiveLeafNodeNBAdaptive. majorityClassError
protected AbstractChangeDetector
Iadem2.LeafNodeWeightedVote. naiveBayesError
protected AbstractChangeDetector
Iadem3.AdaptiveLeafNodeNBAdaptive. naiveBayesError
Methods in moa.classifiers.trees.iadem that return AbstractChangeDetector Modifier and Type Method Description AbstractChangeDetector
Iadem3Subtree. getEstimador()
AbstractChangeDetector
Iadem3. getEstimatorCopy()
AbstractChangeDetector
Iadem3Subtree. getEstimatorCopy()
AbstractChangeDetector
Iadem2. newEstimator()
Methods in moa.classifiers.trees.iadem with parameters of type AbstractChangeDetector Modifier and Type Method Description void
Iadem3Subtree. setEstimador(AbstractChangeDetector estimador)
Constructors in moa.classifiers.trees.iadem with parameters of type AbstractChangeDetector Constructor Description AdaptiveLeafNode(Iadem3 arbol, Iadem2.Node parent, long instTreeCountSinceVirtual, long instNodeCountSinceVirtual, double[] initialClassCount, IademNumericAttributeObserver numericAttClassObserver, AbstractChangeDetector estimator, boolean onlyMultiwayTest, boolean onlyBinaryTest, Instance instance)
AdaptiveLeafNodeNB(Iadem3 tree, Iadem2.Node parent, long instTreeCountSinceVirtual, long instNodeCountSinceVirtual, double[] initialClassCount, IademNumericAttributeObserver numericAttClassObserver, int limitNaiveBayes, AbstractChangeDetector estimator, boolean onlyMultiwayTest, boolean onlyBinaryTest, Instance instance)
AdaptiveLeafNodeNBAdaptive(Iadem3 tree, Iadem2.Node parent, long instancesProcessedByTheTree, long instancesProcessedByThisLeaf, double[] classDist, IademNumericAttributeObserver observadorContinuos, int naiveBayesLimit, boolean onlyMultiwayTest, boolean onlyBinaryTest, AbstractChangeDetector estimator, Instance instance)
AdaptiveLeafNodeNBKirkby(Iadem3 tree, Iadem2.Node parent, long instancesProcessedByTheTree, long instancesProcessedByThisLeaf, double[] classDist, IademNumericAttributeObserver observadorContinuos, int naiveBayesLimit, boolean onlyMultiwayTest, boolean onlyBinaryTest, AbstractChangeDetector estimator, Instance instance)
AdaptiveLeafNodeWeightedVote(Iadem3 tree, Iadem2.Node parent, long instTreeCountSinceVirtual, long instNodeCountSinceVirtual, double[] classDist, IademNumericAttributeObserver observadorContinuos, int naiveBayesLimit, boolean onlyMultiwayTest, boolean onlyBinaryTest, AbstractChangeDetector estimator, Instance instance)
AdaptiveSplitNode(Iadem3 tree, Iadem2.Node parent, Iadem2.Node[] child, double[] freq, InstanceConditionalTest splitTest, AbstractChangeDetector estimator, Iadem3.AdaptiveLeafNode predictionLeaf, int causeOfSplit)
LeafNodeNBKirkby(Iadem2 tree, Iadem2.Node parent, long instancesProcessedByTheTree, long instancesProcessedByThisLeaf, double[] classDist, IademNumericAttributeObserver numericAttClassObserver, int naiveBayesLimit, boolean onlyMultiwayTest, boolean onlyBinaryTest, AbstractChangeDetector estimator, Instance instance)
LeafNodeWeightedVote(Iadem2 tree, Iadem2.Node parent, long instancesProcessedByTheTree, long instancesProcessedByThisLeaf, double[] classDist, IademNumericAttributeObserver observadorContinuos, int naiveBayesLimit, boolean onlyMultiwayTest, boolean onlyBinaryTest, AbstractChangeDetector estimator, Instance instance)
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