Hierarchy For All Packages
Package Hierarchies:- com.github.javacliparser,
- com.github.javacliparser.gui,
- com.yahoo.labs.samoa.instances,
- moa,
- moa.capabilities,
- moa.classifiers,
- moa.classifiers.active,
- moa.classifiers.active.budget,
- moa.classifiers.bayes,
- moa.classifiers.core,
- moa.classifiers.core.attributeclassobservers,
- moa.classifiers.core.conditionaltests,
- moa.classifiers.core.driftdetection,
- moa.classifiers.core.splitcriteria,
- moa.classifiers.core.statisticaltests,
- moa.classifiers.deeplearning,
- moa.classifiers.drift,
- moa.classifiers.functions,
- moa.classifiers.lazy,
- moa.classifiers.lazy.neighboursearch,
- moa.classifiers.lazy.neighboursearch.kdtrees,
- moa.classifiers.meta,
- moa.classifiers.meta.imbalanced,
- moa.classifiers.multilabel,
- moa.classifiers.multilabel.core.splitcriteria,
- moa.classifiers.multilabel.meta,
- moa.classifiers.multilabel.trees,
- moa.classifiers.multitarget,
- moa.classifiers.multitarget.functions,
- moa.classifiers.oneclass,
- moa.classifiers.rules,
- moa.classifiers.rules.core,
- moa.classifiers.rules.core.anomalydetection,
- moa.classifiers.rules.core.anomalydetection.probabilityfunctions,
- moa.classifiers.rules.core.attributeclassobservers,
- moa.classifiers.rules.core.changedetection,
- moa.classifiers.rules.core.conditionaltests,
- moa.classifiers.rules.core.splitcriteria,
- moa.classifiers.rules.core.voting,
- moa.classifiers.rules.driftdetection,
- moa.classifiers.rules.errormeasurers,
- moa.classifiers.rules.featureranking,
- moa.classifiers.rules.featureranking.messages,
- moa.classifiers.rules.functions,
- moa.classifiers.rules.meta,
- moa.classifiers.rules.multilabel,
- moa.classifiers.rules.multilabel.attributeclassobservers,
- moa.classifiers.rules.multilabel.core,
- moa.classifiers.rules.multilabel.core.splitcriteria,
- moa.classifiers.rules.multilabel.core.voting,
- moa.classifiers.rules.multilabel.errormeasurers,
- moa.classifiers.rules.multilabel.functions,
- moa.classifiers.rules.multilabel.inputselectors,
- moa.classifiers.rules.multilabel.instancetransformers,
- moa.classifiers.rules.multilabel.meta,
- moa.classifiers.rules.multilabel.outputselectors,
- moa.classifiers.trees,
- moa.classifiers.trees.iadem,
- moa.cluster,
- moa.clusterers,
- moa.clusterers.clustream,
- moa.clusterers.clustree,
- moa.clusterers.clustree.util,
- moa.clusterers.denstream,
- moa.clusterers.dstream,
- moa.clusterers.kmeanspm,
- moa.clusterers.macro,
- moa.clusterers.macro.dbscan,
- moa.clusterers.meta,
- moa.clusterers.outliers,
- moa.clusterers.outliers.AbstractC,
- moa.clusterers.outliers.Angiulli,
- moa.clusterers.outliers.AnyOut,
- moa.clusterers.outliers.AnyOut.util,
- moa.clusterers.outliers.MCOD,
- moa.clusterers.outliers.SimpleCOD,
- moa.clusterers.outliers.utils.mtree,
- moa.clusterers.outliers.utils.mtree.utils,
- moa.clusterers.streamkm,
- moa.core,
- moa.core.utils,
- moa.evaluation,
- moa.evaluation.preview,
- moa.gui,
- moa.gui.active,
- moa.gui.clustertab,
- moa.gui.colorGenerator,
- moa.gui.conceptdrift,
- moa.gui.experimentertab,
- moa.gui.experimentertab.statisticaltests,
- moa.gui.experimentertab.tasks,
- moa.gui.featureanalysis,
- moa.gui.outliertab,
- moa.gui.visualization,
- moa.learners,
- moa.learners.featureanalysis,
- moa.options,
- moa.recommender.data,
- moa.recommender.dataset,
- moa.recommender.dataset.impl,
- moa.recommender.predictor,
- moa.recommender.rc.data,
- moa.recommender.rc.data.impl,
- moa.recommender.rc.predictor,
- moa.recommender.rc.predictor.impl,
- moa.recommender.rc.utils,
- moa.streams,
- moa.streams.clustering,
- moa.streams.filters,
- moa.streams.generators,
- moa.streams.generators.cd,
- moa.streams.generators.multilabel,
- moa.tasks,
- moa.tasks.ipynb,
- moa.tasks.meta,
- weka.classifiers.meta,
- weka.core,
- weka.datagenerators.classifiers.classification,
- weka.gui
Class Hierarchy
- java.lang.Object
- weka.classifiers.AbstractClassifier (implements weka.core.BatchPredictor, weka.core.CapabilitiesHandler, weka.core.CapabilitiesIgnorer, weka.classifiers.Classifier, java.lang.Cloneable, weka.core.CommandlineRunnable, weka.core.OptionHandler, weka.core.RevisionHandler, java.io.Serializable)
- weka.classifiers.meta.MOA (implements weka.classifiers.UpdateableClassifier)
- java.util.AbstractCollection<E> (implements java.util.Collection<E>)
- java.util.AbstractList<E> (implements java.util.List<E>)
- java.util.AbstractSequentialList<E>
- java.util.LinkedList<E> (implements java.lang.Cloneable, java.util.Deque<E>, java.util.List<E>, java.io.Serializable)
- moa.classifiers.rules.multilabel.core.MultiLabelRuleSet
- java.util.LinkedList<E> (implements java.lang.Cloneable, java.util.Deque<E>, java.util.List<E>, java.io.Serializable)
- java.util.ArrayList<E> (implements java.lang.Cloneable, java.util.List<E>, java.util.RandomAccess, java.io.Serializable)
- moa.core.AutoExpandVector<T> (implements moa.MOAObject)
- moa.core.FastVector<E>
- moa.core.FixedLengthList<E>
- moa.classifiers.rules.core.RuleSet
- java.util.AbstractSequentialList<E>
- java.util.AbstractList<E> (implements java.util.List<E>)
- moa.clusterers.macro.AbstractMacroClusterer
- moa.clusterers.macro.dbscan.DBScan
- moa.AbstractMOAObject (implements moa.MOAObject)
- moa.classifiers.rules.core.voting.AbstractErrorWeightedVote (implements moa.classifiers.rules.core.voting.ErrorWeightedVote)
- moa.classifiers.rules.core.voting.ExpNegErrorWeightedVote
- moa.classifiers.rules.core.voting.InverseErrorWeightedVote
- moa.classifiers.rules.core.voting.MinErrorWeightedVote
- moa.classifiers.rules.core.voting.OneMinusErrorWeightedVote
- moa.classifiers.rules.core.voting.UniformWeightedVote
- moa.classifiers.rules.multilabel.core.voting.AbstractErrorWeightedVoteMultiLabel (implements moa.classifiers.rules.multilabel.core.voting.ErrorWeightedVoteMultiLabel)
- moa.classifiers.rules.multilabel.core.voting.FirstHitVoteMultiLabel
- moa.classifiers.rules.multilabel.core.voting.InverseErrorWeightedVoteMultiLabel
- moa.classifiers.rules.multilabel.core.voting.UniformWeightedVoteMultiLabel
- moa.options.AbstractOptionHandler (implements moa.options.OptionHandler)
- moa.classifiers.rules.core.anomalydetection.AbstractAnomalyDetector (implements moa.classifiers.rules.core.anomalydetection.AnomalyDetector)
- moa.classifiers.rules.core.anomalydetection.AnomalinessRatioScore
- moa.classifiers.rules.core.anomalydetection.NoAnomalyDetection
- moa.classifiers.rules.core.anomalydetection.OddsRatioScore
- moa.classifiers.core.driftdetection.AbstractChangeDetector (implements moa.classifiers.core.driftdetection.ChangeDetector)
- moa.classifiers.core.driftdetection.ADWINChangeDetector
- moa.classifiers.core.driftdetection.CusumDM
- moa.classifiers.core.driftdetection.DDM
- moa.classifiers.core.driftdetection.EDDM
- moa.classifiers.core.driftdetection.EnsembleDriftDetectionMethods
- moa.classifiers.core.driftdetection.EWMAChartDM
- moa.classifiers.core.driftdetection.GeometricMovingAverageDM
- moa.classifiers.core.driftdetection.HDDM_A_Test
- moa.classifiers.core.driftdetection.HDDM_W_Test
- moa.classifiers.rules.core.changedetection.NoChangeDetection (implements moa.classifiers.core.driftdetection.ChangeDetector)
- moa.classifiers.core.driftdetection.PageHinkleyDM
- moa.classifiers.core.driftdetection.RDDM
- moa.classifiers.core.driftdetection.SEEDChangeDetector
- moa.classifiers.core.driftdetection.SeqDrift1ChangeDetector
- moa.classifiers.core.driftdetection.SeqDrift2ChangeDetector
- moa.classifiers.core.driftdetection.STEPD
- moa.classifiers.AbstractClassifier (implements moa.capabilities.CapabilitiesHandler, moa.classifiers.Classifier)
- moa.classifiers.rules.AbstractAMRules
- moa.classifiers.rules.AMRulesRegressorOld (implements moa.classifiers.Regressor)
- moa.classifiers.AbstractMultiLabelLearner (implements moa.classifiers.MultiLabelLearner)
- moa.classifiers.rules.multilabel.functions.AdaptiveMultiTargetRegressor (implements moa.classifiers.rules.multilabel.functions.AMRulesFunction, moa.classifiers.MultiTargetRegressor)
- moa.classifiers.rules.multilabel.AMRulesMultiLabelLearner (implements moa.classifiers.MultiLabelLearner)
- moa.classifiers.rules.multilabel.AMRulesMultiLabelClassifier (implements moa.classifiers.MultiLabelClassifier)
- moa.classifiers.rules.multilabel.AMRulesMultiTargetRegressor (implements moa.classifiers.MultiTargetRegressor)
- moa.classifiers.rules.AMRulesRegressor (implements moa.classifiers.Regressor)
- moa.classifiers.rules.multilabel.AMRulesMultiLabelLearnerSemiSuper (implements moa.classifiers.MultiTargetLearnerSemiSupervised)
- moa.classifiers.rules.multilabel.AMRulesMultiTargetRegressorSemiSuper (implements moa.classifiers.MultiTargetLearnerSemiSupervised)
- moa.classifiers.multitarget.BasicMultiLabelLearner
- moa.classifiers.rules.multilabel.functions.AbstractAMRulesFunctionBasicMlLearner (implements moa.classifiers.rules.multilabel.functions.AMRulesFunction)
- moa.classifiers.rules.multilabel.functions.MultiLabelNaiveBayes (implements moa.classifiers.rules.multilabel.functions.AMRulesFunction, moa.classifiers.MultiLabelClassifier)
- moa.classifiers.rules.multilabel.functions.MultiLabelPerceptronClassification (implements moa.classifiers.rules.multilabel.functions.AMRulesFunction, moa.classifiers.MultiLabelClassifier)
- moa.classifiers.rules.multilabel.functions.MultiTargetMeanRegressor (implements moa.classifiers.rules.multilabel.functions.AMRulesFunction, moa.classifiers.MultiTargetRegressor)
- moa.classifiers.rules.multilabel.functions.MultiTargetPerceptronRegressor (implements moa.classifiers.rules.multilabel.functions.AMRulesFunction, moa.classifiers.MultiTargetRegressor)
- moa.classifiers.multitarget.BasicMultiLabelClassifier (implements moa.classifiers.MultiLabelClassifier)
- moa.classifiers.rules.multilabel.functions.AbstractAMRulesFunctionBasicMlLearner (implements moa.classifiers.rules.multilabel.functions.AMRulesFunction)
- moa.classifiers.multitarget.BasicMultiTargetRegressor (implements moa.classifiers.MultiTargetRegressor)
- moa.classifiers.rules.multilabel.functions.DominantLabelsClassifier (implements moa.classifiers.rules.multilabel.functions.AMRulesFunction, moa.classifiers.MultiLabelClassifier)
- moa.classifiers.multilabel.trees.ISOUPTree (implements moa.classifiers.MultiTargetLearnerSemiSupervised, moa.classifiers.MultiTargetRegressor)
- moa.classifiers.multilabel.trees.ISOUPTreeRF
- moa.classifiers.multilabel.MajorityLabelset (implements moa.classifiers.MultiLabelLearner)
- moa.classifiers.multilabel.MEKAClassifier (implements moa.classifiers.MultiLabelLearner, moa.classifiers.MultiTargetRegressor, java.io.Serializable)
- moa.classifiers.meta.MLCviaMTR (implements moa.classifiers.MultiLabelClassifier)
- moa.classifiers.rules.multilabel.meta.MultiLabelRandomAMRules (implements moa.classifiers.MultiTargetRegressor)
- moa.classifiers.rules.meta.RandomAMRules (implements moa.classifiers.Regressor)
- moa.classifiers.multitarget.functions.MultiTargetNoChange (implements moa.classifiers.MultiTargetRegressor)
- moa.classifiers.rules.multilabel.functions.StackedPredictor (implements moa.classifiers.rules.multilabel.functions.AMRulesFunction, moa.classifiers.MultiTargetRegressor)
- moa.classifiers.meta.AccuracyUpdatedEnsemble (implements moa.classifiers.MultiClassClassifier)
- moa.classifiers.meta.AccuracyWeightedEnsemble (implements moa.classifiers.MultiClassClassifier)
- moa.classifiers.rules.functions.AdaptiveNodePredictor (implements moa.classifiers.rules.functions.AMRulesRegressorFunction)
- moa.classifiers.meta.AdaptiveRandomForest (implements moa.capabilities.CapabilitiesHandler, moa.classifiers.MultiClassClassifier)
- moa.classifiers.meta.AdaptiveRandomForestRegressor (implements moa.classifiers.Regressor)
- moa.classifiers.meta.ADOB (implements moa.classifiers.MultiClassClassifier)
- moa.classifiers.active.ALRandom (implements moa.classifiers.active.ALClassifier)
- moa.classifiers.active.ALUncertainty (implements moa.classifiers.active.ALClassifier)
- moa.classifiers.trees.ARFFIMTDD (implements moa.classifiers.Regressor)
- moa.classifiers.oneclass.Autoencoder (implements moa.classifiers.Classifier, moa.classifiers.OneClassClassifier)
- moa.classifiers.rules.BinaryClassifierFromRegressor
- moa.classifiers.meta.BOLE (implements moa.classifiers.MultiClassClassifier)
- moa.classifiers.deeplearning.CAND (implements moa.capabilities.CapabilitiesHandler, moa.classifiers.MultiClassClassifier)
- moa.learners.ChangeDetectorLearner
- moa.learners.featureanalysis.ClassifierWithFeatureImportance (implements moa.classifiers.MultiClassClassifier)
- moa.classifiers.meta.imbalanced.CSMOTE (implements moa.classifiers.MultiClassClassifier)
- moa.classifiers.meta.DACC (implements moa.classifiers.MultiClassClassifier)
- moa.classifiers.meta.ADACC (implements moa.classifiers.MultiClassClassifier)
- moa.classifiers.trees.DecisionStump (implements moa.classifiers.MultiClassClassifier)
- moa.classifiers.drift.DriftDetectionMethodClassifier (implements moa.capabilities.CapabilitiesHandler, moa.classifiers.MultiClassClassifier)
- moa.classifiers.drift.SingleClassifierDrift
- moa.classifiers.meta.RCD
- moa.classifiers.drift.SingleClassifierDrift
- moa.classifiers.meta.DynamicWeightedMajority (implements moa.classifiers.MultiClassClassifier)
- moa.classifiers.trees.EFDT (implements moa.classifiers.MultiClassClassifier)
- moa.learners.featureanalysis.FeatureImportanceHoeffdingTree (implements moa.capabilities.CapabilitiesHandler, moa.learners.featureanalysis.FeatureImportanceClassifier, moa.classifiers.MultiClassClassifier)
- moa.learners.featureanalysis.FeatureImportanceHoeffdingTreeEnsemble (implements moa.capabilities.CapabilitiesHandler, moa.learners.featureanalysis.FeatureImportanceClassifier, moa.classifiers.MultiClassClassifier)
- moa.classifiers.trees.FIMTDD (implements moa.classifiers.Regressor)
- moa.classifiers.meta.HeterogeneousEnsembleAbstract (implements moa.classifiers.MultiClassClassifier)
- moa.classifiers.meta.HeterogeneousEnsembleBlast (implements moa.classifiers.MultiClassClassifier)
- moa.classifiers.meta.HeterogeneousEnsembleBlastFadingFactors (implements moa.classifiers.MultiClassClassifier)
- moa.classifiers.trees.HoeffdingOptionTree (implements moa.capabilities.CapabilitiesHandler, moa.classifiers.MultiClassClassifier)
- moa.classifiers.trees.AdaHoeffdingOptionTree
- moa.classifiers.trees.HoeffdingTree (implements moa.capabilities.CapabilitiesHandler, moa.classifiers.MultiClassClassifier)
- moa.classifiers.trees.ARFHoeffdingTree
- moa.classifiers.trees.ASHoeffdingTree
- moa.classifiers.trees.HoeffdingAdaptiveTree
- moa.classifiers.trees.HoeffdingAdaptiveTreeClassifLeaves
- moa.classifiers.trees.HoeffdingTreeClassifLeaves
- moa.classifiers.multilabel.MultilabelHoeffdingTree (implements moa.classifiers.MultiLabelLearner, moa.classifiers.MultiTargetRegressor)
- moa.classifiers.trees.LimAttHoeffdingTree
- moa.classifiers.trees.RandomHoeffdingTree
- moa.classifiers.oneclass.HSTrees (implements moa.classifiers.Classifier, moa.classifiers.OneClassClassifier)
- moa.classifiers.trees.iadem.Iadem2 (implements moa.classifiers.MultiClassClassifier)
- moa.classifiers.trees.iadem.Iadem3 (implements moa.classifiers.MultiClassClassifier)
- moa.classifiers.trees.iadem.Iadem3Subtree
- moa.classifiers.trees.iadem.Iadem3 (implements moa.classifiers.MultiClassClassifier)
- moa.classifiers.lazy.kNN (implements moa.classifiers.MultiClassClassifier, moa.classifiers.Regressor)
- moa.classifiers.lazy.kNNwithPAW (implements moa.classifiers.MultiClassClassifier)
- moa.classifiers.lazy.kNNwithPAWandADWIN (implements moa.classifiers.MultiClassClassifier)
- moa.classifiers.meta.LearnNSE (implements moa.classifiers.MultiClassClassifier)
- moa.classifiers.meta.LeveragingBag (implements moa.capabilities.CapabilitiesHandler, moa.classifiers.MultiClassClassifier)
- moa.classifiers.meta.LimAttClassifier (implements moa.classifiers.MultiClassClassifier)
- moa.classifiers.rules.functions.LowPassFilteredLearner (implements moa.classifiers.rules.functions.AMRulesRegressorFunction)
- moa.classifiers.functions.MajorityClass (implements moa.classifiers.MultiClassClassifier)
- moa.classifiers.deeplearning.MLP (implements moa.classifiers.MultiClassClassifier)
- moa.classifiers.bayes.NaiveBayes (implements moa.capabilities.CapabilitiesHandler, moa.classifiers.MultiClassClassifier)
- moa.classifiers.bayes.NaiveBayesMultinomial (implements moa.classifiers.MultiClassClassifier)
- moa.classifiers.oneclass.NearestNeighbourDescription (implements moa.classifiers.Classifier, moa.classifiers.OneClassClassifier)
- moa.classifiers.functions.NoChange (implements moa.classifiers.MultiClassClassifier)
- moa.classifiers.meta.OCBoost (implements moa.classifiers.MultiClassClassifier)
- moa.classifiers.meta.OnlineAccuracyUpdatedEnsemble (implements moa.classifiers.MultiClassClassifier)
- moa.classifiers.meta.imbalanced.OnlineAdaBoost (implements moa.capabilities.CapabilitiesHandler, moa.classifiers.MultiClassClassifier)
- moa.classifiers.meta.imbalanced.OnlineAdaC2 (implements moa.capabilities.CapabilitiesHandler, moa.classifiers.MultiClassClassifier)
- moa.classifiers.meta.imbalanced.OnlineCSB2 (implements moa.capabilities.CapabilitiesHandler, moa.classifiers.MultiClassClassifier)
- moa.classifiers.meta.imbalanced.OnlineRUSBoost (implements moa.capabilities.CapabilitiesHandler, moa.classifiers.MultiClassClassifier)
- moa.classifiers.meta.OnlineSmoothBoost (implements moa.classifiers.MultiClassClassifier)
- moa.classifiers.meta.imbalanced.OnlineSMOTEBagging (implements moa.capabilities.CapabilitiesHandler, moa.classifiers.MultiClassClassifier)
- moa.classifiers.meta.imbalanced.OnlineUnderOverBagging (implements moa.capabilities.CapabilitiesHandler, moa.classifiers.MultiClassClassifier)
- moa.classifiers.meta.OzaBag (implements moa.capabilities.CapabilitiesHandler, moa.classifiers.MultiClassClassifier)
- moa.classifiers.multilabel.meta.OzaBagML (implements moa.classifiers.MultiLabelLearner, moa.classifiers.MultiTargetRegressor)
- moa.classifiers.meta.OzaBagAdwin (implements moa.capabilities.CapabilitiesHandler, moa.classifiers.MultiClassClassifier)
- moa.classifiers.multilabel.meta.OzaBagAdwinML (implements moa.classifiers.MultiLabelLearner, moa.classifiers.MultiTargetRegressor)
- moa.classifiers.meta.OzaBagASHT (implements moa.classifiers.MultiClassClassifier)
- moa.classifiers.meta.OzaBoost (implements moa.classifiers.MultiClassClassifier)
- moa.classifiers.meta.OzaBoostAdwin (implements moa.classifiers.MultiClassClassifier)
- moa.classifiers.meta.PairedLearners (implements moa.classifiers.MultiClassClassifier)
- moa.classifiers.functions.Perceptron (implements moa.classifiers.MultiClassClassifier)
- moa.classifiers.rules.functions.Perceptron (implements moa.classifiers.rules.functions.AMRulesRegressorFunction)
- moa.classifiers.rules.meta.RandomAMRulesOld (implements moa.classifiers.Regressor)
- moa.classifiers.meta.RandomRules (implements moa.classifiers.Regressor)
- moa.classifiers.meta.imbalanced.RebalanceStream (implements moa.classifiers.MultiClassClassifier)
- moa.classifiers.rules.RuleClassifier (implements moa.classifiers.MultiClassClassifier)
- moa.classifiers.rules.RuleClassifierNBayes
- moa.classifiers.lazy.SAMkNN (implements moa.capabilities.CapabilitiesHandler, moa.classifiers.MultiClassClassifier)
- moa.classifiers.trees.SelfOptimisingBaseTree (implements moa.classifiers.Regressor)
- moa.classifiers.meta.SelfOptimisingKNearestLeaves (implements moa.classifiers.Regressor)
- moa.classifiers.functions.SGD (implements moa.classifiers.MultiClassClassifier, moa.classifiers.Regressor)
- moa.classifiers.functions.AdaGrad
- moa.classifiers.functions.SGDMultiClass (implements moa.classifiers.MultiClassClassifier, moa.classifiers.Regressor)
- moa.classifiers.functions.SPegasos (implements moa.classifiers.MultiClassClassifier)
- moa.classifiers.meta.StreamingGradientBoostedTrees (implements moa.classifiers.MultiClassClassifier, moa.classifiers.Regressor)
- moa.classifiers.meta.StreamingRandomPatches (implements moa.capabilities.CapabilitiesHandler, moa.classifiers.MultiClassClassifier)
- moa.classifiers.rules.functions.TargetMean (implements moa.classifiers.rules.functions.AMRulesRegressorFunction)
- moa.classifiers.rules.functions.FadingTargetMean (implements moa.classifiers.rules.functions.AMRulesRegressorFunction)
- moa.classifiers.meta.TemporallyAugmentedClassifier (implements moa.classifiers.MultiClassClassifier)
- moa.classifiers.meta.WeightedMajorityAlgorithm (implements moa.classifiers.MultiClassClassifier)
- moa.classifiers.meta.WEKAClassifier (implements moa.classifiers.MultiClassClassifier)
- moa.classifiers.rules.AbstractAMRules
- moa.clusterers.AbstractClusterer (implements moa.clusterers.Clusterer)
- moa.clusterers.kmeanspm.BICO
- moa.clusterers.ClusterGenerator
- moa.clusterers.clustream.Clustream
- moa.clusterers.clustree.ClusTree
- moa.clusterers.outliers.AnyOut.AnyOutCore
- moa.clusterers.CobWeb
- moa.clusterers.dstream.Dstream
- moa.clusterers.meta.EnsembleClustererAbstract
- moa.clusterers.meta.ConfStream
- moa.clusterers.outliers.MyBaseOutlierDetector
- moa.clusterers.outliers.AbstractC.AbstractCBase
- moa.clusterers.outliers.AbstractC.AbstractC
- moa.clusterers.outliers.AnyOut.AnyOut
- moa.clusterers.outliers.MCOD.MCODBase
- moa.clusterers.outliers.MCOD.MCOD
- moa.clusterers.outliers.SimpleCOD.SimpleCODBase
- moa.clusterers.outliers.SimpleCOD.SimpleCOD
- moa.clusterers.outliers.Angiulli.STORMBase
- moa.clusterers.outliers.Angiulli.ApproxSTORM
- moa.clusterers.outliers.Angiulli.ExactSTORM
- moa.clusterers.outliers.AbstractC.AbstractCBase
- moa.clusterers.streamkm.StreamKM
- moa.clusterers.WekaClusteringAlgorithm
- moa.clusterers.denstream.WithDBSCAN
- moa.clusterers.clustream.WithKmeans
- moa.streams.generators.cd.AbstractConceptDriftGenerator (implements moa.streams.generators.cd.ConceptDriftGenerator)
- moa.streams.generators.cd.AbruptChangeGenerator
- moa.streams.generators.cd.GradualChangeGenerator
- moa.streams.generators.cd.NoChangeGenerator
- moa.classifiers.rules.featureranking.AbstractFeatureRanking (implements moa.classifiers.rules.featureranking.FeatureRanking)
- moa.classifiers.rules.featureranking.BasicFeatureRanking
- moa.classifiers.rules.featureranking.MeritFeatureRanking (implements moa.classifiers.rules.featureranking.FeatureRanking)
- moa.classifiers.rules.featureranking.NoFeatureRanking
- moa.classifiers.rules.featureranking.WeightedMajorityFeatureRanking (implements moa.classifiers.rules.featureranking.FeatureRanking)
- moa.classifiers.rules.multilabel.errormeasurers.AbstractMultiLabelErrorMeasurer (implements moa.classifiers.rules.multilabel.errormeasurers.MultiTargetErrorMeasurer)
- moa.classifiers.rules.multilabel.errormeasurers.AbstractMultiTargetErrorMeasurer (implements moa.classifiers.rules.multilabel.errormeasurers.MultiLabelErrorMeasurer)
- moa.classifiers.rules.multilabel.errormeasurers.MeanAbsoluteDeviationMT
- moa.classifiers.rules.multilabel.errormeasurers.RelativeMeanAbsoluteDeviationMT
- moa.classifiers.rules.multilabel.errormeasurers.RelativeRootMeanSquaredErrorMT
- moa.classifiers.rules.multilabel.errormeasurers.RootMeanSquaredErrorMT
- moa.classifiers.rules.multilabel.errormeasurers.AbstractMultiTargetErrorMeasurer (implements moa.classifiers.rules.multilabel.errormeasurers.MultiLabelErrorMeasurer)
- moa.streams.filters.AbstractMultiLabelStreamFilter (implements moa.streams.filters.MultiLabelStreamFilter)
- moa.streams.filters.SelectAttributesFilter (implements moa.streams.filters.MultiLabelStreamFilter)
- moa.streams.filters.AbstractStreamFilter (implements moa.streams.filters.StreamFilter)
- moa.streams.filters.AddNoiseFilter
- moa.streams.filters.HashingTrickFilter
- moa.streams.filters.NormalisationFilter
- moa.streams.filters.RandomProjectionFilter
- moa.streams.filters.RBFFilter
- moa.streams.filters.ReLUFilter
- moa.streams.filters.RemoveDiscreteAttributeFilter
- moa.streams.filters.ReplacingMissingValuesFilter
- moa.streams.filters.StandardisationFilter
- moa.tasks.AbstractTask (implements moa.tasks.Task)
- moa.tasks.CacheShuffledStream
- moa.gui.experimentertab.tasks.ExperimenterTask
- moa.gui.experimentertab.tasks.ConceptDriftMainTask
- moa.gui.experimentertab.tasks.EvaluateConceptDrift
- moa.gui.experimentertab.tasks.EvaluateInterleavedChunks
- moa.gui.experimentertab.tasks.EvaluateInterleavedTestThenTrain
- moa.gui.experimentertab.tasks.EvaluatePeriodicHeldOutTest
- moa.gui.experimentertab.tasks.EvaluatePrequential
- moa.gui.experimentertab.tasks.EvaluatePrequentialCV
- moa.gui.experimentertab.tasks.ConceptDriftMainTask
- moa.tasks.MainTask
- moa.tasks.AuxiliarMainTask
- moa.tasks.EvaluateClustering
- moa.tasks.EvaluateMultipleClusterings
- moa.tasks.EvaluateOnlineRecommender
- moa.tasks.MeasureStreamSpeed
- moa.tasks.RunTasks
- moa.tasks.WriteConfigurationToJupyterNotebook
- moa.tasks.WriteMultipleStreamsToARFF
- moa.tasks.WriteStreamToARFFFile
- moa.tasks.ClassificationMainTask (implements moa.capabilities.CapabilitiesHandler)
- moa.tasks.EvaluateInterleavedChunks
- moa.tasks.EvaluateInterleavedTestThenTrain
- moa.tasks.EvaluateModel (implements moa.capabilities.CapabilitiesHandler)
- moa.tasks.EvaluatePeriodicHeldOutTest
- moa.tasks.EvaluatePrequential (implements moa.capabilities.CapabilitiesHandler)
- moa.tasks.EvaluatePrequentialCV
- moa.tasks.EvaluatePrequentialDelayed
- moa.tasks.EvaluatePrequentialDelayedCV
- moa.tasks.FeatureImportanceConfig (implements moa.capabilities.CapabilitiesHandler)
- moa.tasks.LearnModel (implements moa.capabilities.CapabilitiesHandler)
- moa.tasks.ConceptDriftMainTask
- moa.tasks.EvaluateConceptDrift
- moa.tasks.RunStreamTasks
- moa.tasks.meta.MetaMainTask
- moa.tasks.meta.ALMainTask
- moa.tasks.meta.ALMultiParamTask
- moa.tasks.meta.ALPartitionEvaluationTask
- moa.tasks.meta.ALPrequentialEvaluationTask
- moa.tasks.meta.ALMainTask
- moa.tasks.MultiLabelMainTask
- moa.tasks.EvaluateModelMultiLabel
- moa.tasks.EvaluatePrequentialMultiLabel
- moa.tasks.LearnModelMultiLabel
- moa.tasks.MultiTargetMainTask
- moa.tasks.EvaluateModelMultiTarget
- moa.tasks.EvaluatePrequentialMultiTarget
- moa.tasks.EvaluatePrequentialMultiTargetSemiSuper
- moa.tasks.LearnModelMultiTarget
- moa.tasks.Plot
- moa.tasks.RegressionMainTask
- moa.tasks.EvaluateModelRegression
- moa.tasks.EvaluatePrequentialRegression
- moa.tasks.LearnModelRegression
- moa.tasks.AuxiliarMainTask
- moa.streams.generators.AgrawalGenerator (implements moa.capabilities.CapabilitiesHandler, moa.streams.InstanceStream)
- moa.streams.ArffFileStream (implements moa.capabilities.CapabilitiesHandler, moa.streams.generators.cd.ConceptDriftGenerator, moa.streams.InstanceStream)
- moa.streams.generators.multilabel.MultilabelArffFileStream (implements moa.streams.MultiTargetInstanceStream)
- moa.streams.generators.AssetNegotiationGenerator (implements moa.streams.InstanceStream)
- moa.recommender.predictor.BaselinePredictor (implements moa.recommender.predictor.RatingPredictor)
- moa.evaluation.BasicAUCImbalancedPerformanceEvaluator (implements moa.evaluation.ClassificationPerformanceEvaluator)
- moa.evaluation.BasicClassificationPerformanceEvaluator (implements moa.evaluation.ClassificationPerformanceEvaluator)
- moa.evaluation.AdwinClassificationPerformanceEvaluator
- moa.evaluation.EWMAClassificationPerformanceEvaluator
- moa.evaluation.FadingFactorClassificationPerformanceEvaluator
- moa.evaluation.WindowClassificationPerformanceEvaluator
- moa.evaluation.ALWindowClassificationPerformanceEvaluator (implements moa.evaluation.ALClassificationPerformanceEvaluator)
- moa.classifiers.core.attributeclassobservers.BinaryTreeNumericAttributeClassObserver (implements moa.classifiers.core.attributeclassobservers.NumericAttributeClassObserver)
- moa.classifiers.core.attributeclassobservers.FIMTDDNumericAttributeClassObserver (implements moa.classifiers.core.attributeclassobservers.NumericAttributeClassObserver)
- moa.classifiers.rules.core.attributeclassobservers.FIMTDDNumericAttributeClassLimitObserver
- moa.classifiers.core.attributeclassobservers.FIMTDDNumericAttributeClassObserver (implements moa.classifiers.core.attributeclassobservers.NumericAttributeClassObserver)
- moa.classifiers.core.attributeclassobservers.BinaryTreeNumericAttributeClassObserverRegression (implements moa.classifiers.core.attributeclassobservers.NumericAttributeClassObserver)
- moa.streams.BootstrappedStream (implements moa.streams.InstanceStream, moa.streams.MultiTargetInstanceStream)
- moa.recommender.predictor.BRISMFPredictor (implements moa.recommender.predictor.RatingPredictor)
- moa.classifiers.rules.core.anomalydetection.probabilityfunctions.CantellisInequality (implements moa.classifiers.rules.core.anomalydetection.probabilityfunctions.ProbabilityFunction)
- moa.classifiers.rules.core.anomalydetection.probabilityfunctions.ChebyshevInequality (implements moa.classifiers.rules.core.anomalydetection.probabilityfunctions.ProbabilityFunction)
- moa.streams.clustering.ClusteringStream (implements moa.streams.InstanceStream)
- moa.streams.clustering.FileStream
- moa.streams.clustering.RandomRBFGeneratorEvents
- moa.streams.clustering.SimpleCSVStream
- moa.streams.ConceptDriftRealStream (implements moa.capabilities.CapabilitiesHandler, moa.streams.InstanceStream)
- moa.streams.ConceptDriftStream (implements moa.capabilities.CapabilitiesHandler, moa.streams.InstanceStream)
- moa.streams.RecurrentConceptDriftStream
- moa.classifiers.core.statisticaltests.Cramer (implements moa.classifiers.core.statisticaltests.StatisticalTest)
- moa.classifiers.rules.multilabel.outputselectors.EntropyThreshold (implements moa.classifiers.rules.multilabel.outputselectors.OutputAttributesSelector)
- moa.streams.FilteredStream (implements moa.streams.ExampleStream<E>)
- moa.classifiers.active.budget.FixedBM (implements moa.classifiers.active.budget.BudgetManager)
- moa.recommender.dataset.impl.FlixsterDataset (implements moa.recommender.dataset.Dataset)
- moa.classifiers.core.attributeclassobservers.GaussianNumericAttributeClassObserver (implements moa.classifiers.core.attributeclassobservers.NumericAttributeClassObserver)
- moa.classifiers.trees.iadem.IademGaussianNumericAttributeClassObserver (implements moa.classifiers.trees.iadem.IademNumericAttributeObserver)
- moa.classifiers.rules.core.anomalydetection.probabilityfunctions.GaussInequality (implements moa.classifiers.rules.core.anomalydetection.probabilityfunctions.ProbabilityFunction)
- moa.classifiers.core.splitcriteria.GiniSplitCriterion (implements moa.classifiers.core.splitcriteria.SplitCriterion)
- moa.classifiers.core.attributeclassobservers.GreenwaldKhannaNumericAttributeClassObserver (implements moa.classifiers.core.attributeclassobservers.NumericAttributeClassObserver)
- moa.classifiers.trees.iadem.IademGreenwaldKhannaNumericAttributeClassObserver (implements moa.classifiers.trees.iadem.IademNumericAttributeObserver)
- moa.streams.generators.HyperplaneGenerator (implements moa.capabilities.CapabilitiesHandler, moa.streams.InstanceStream)
- moa.classifiers.multilabel.core.splitcriteria.ICVarianceReduction (implements moa.classifiers.rules.multilabel.core.splitcriteria.MultiLabelSplitCriterion)
- moa.classifiers.multilabel.core.splitcriteria.WeightedICVarianceReduction
- moa.classifiers.multilabel.core.splitcriteria.PCTWeightedICVarianceReduction
- moa.classifiers.multilabel.core.splitcriteria.WeightedICVarianceReduction
- moa.streams.ImbalancedStream (implements moa.streams.InstanceStream)
- moa.classifiers.core.splitcriteria.InfoGainSplitCriterion (implements moa.classifiers.core.splitcriteria.SplitCriterion)
- moa.classifiers.core.splitcriteria.InfoGainSplitCriterionMultilabel
- moa.streams.IrrelevantFeatureAppenderStream (implements moa.streams.InstanceStream)
- moa.recommender.dataset.impl.JesterDataset (implements moa.recommender.dataset.Dataset)
- moa.classifiers.core.statisticaltests.KNN (implements moa.classifiers.core.statisticaltests.StatisticalTest)
- moa.classifiers.rules.multilabel.core.LearningLiteral
- moa.classifiers.rules.multilabel.core.LearningLiteralClassification
- moa.classifiers.rules.multilabel.core.LearningLiteralRegression
- moa.streams.generators.LEDGenerator (implements moa.capabilities.CapabilitiesHandler, moa.streams.InstanceStream)
- moa.streams.generators.LEDGeneratorDrift
- moa.recommender.data.MemRecommenderData (implements moa.recommender.data.RecommenderData)
- moa.classifiers.rules.multilabel.inputselectors.MeritThreshold (implements moa.classifiers.rules.multilabel.inputselectors.InputAttributesSelector)
- moa.streams.generators.multilabel.MetaMultilabelGenerator (implements moa.streams.MultiTargetInstanceStream)
- moa.streams.generators.MixedGenerator (implements moa.streams.InstanceStream)
- moa.recommender.dataset.impl.MovielensDataset (implements moa.recommender.dataset.Dataset)
- moa.streams.MultiFilteredStream (implements moa.streams.ExampleStream<E>)
- moa.classifiers.rules.multilabel.attributeclassobservers.MultiLabelBSTree (implements moa.classifiers.rules.multilabel.attributeclassobservers.NumericStatisticsObserver)
- moa.classifiers.rules.multilabel.attributeclassobservers.MultiLabelBSTreeFloat (implements moa.classifiers.rules.multilabel.attributeclassobservers.NumericStatisticsObserver)
- moa.classifiers.rules.multilabel.attributeclassobservers.MultiLabelBSTreePCT (implements moa.classifiers.rules.multilabel.attributeclassobservers.NumericStatisticsObserver)
- moa.streams.MultiLabelFilteredStream (implements moa.streams.MultiTargetInstanceStream)
- moa.classifiers.rules.multilabel.core.splitcriteria.MultilabelInformationGain (implements moa.classifiers.rules.multilabel.core.splitcriteria.MultiLabelSplitCriterion)
- moa.classifiers.rules.multilabel.attributeclassobservers.MultiLabelNominalAttributeObserver (implements moa.classifiers.rules.multilabel.attributeclassobservers.NominalStatisticsObserver)
- moa.streams.MultiTargetArffFileStream (implements moa.streams.MultiTargetInstanceStream)
- moa.classifiers.rules.multilabel.core.splitcriteria.MultiTargetVarianceRatio (implements moa.classifiers.rules.multilabel.core.splitcriteria.MultiLabelSplitCriterion)
- moa.evaluation.MultiTargetWindowRegressionPerformanceEvaluator (implements moa.evaluation.MultiTargetPerformanceEvaluator, moa.evaluation.RegressionPerformanceEvaluator)
- moa.evaluation.MultiTargetWindowRegressionPerformanceRelativeMeasuresEvaluator (implements moa.evaluation.MultiTargetPerformanceEvaluator, moa.evaluation.RegressionPerformanceEvaluator)
- moa.classifiers.core.attributeclassobservers.NominalAttributeClassObserver (implements moa.classifiers.core.attributeclassobservers.DiscreteAttributeClassObserver)
- moa.classifiers.core.attributeclassobservers.NullAttributeClassObserver (implements moa.classifiers.core.attributeclassobservers.AttributeClassObserver)
- moa.streams.PartitioningStream (implements moa.streams.ExampleStream<E>)
- moa.streams.generators.RandomRBFGenerator (implements moa.capabilities.CapabilitiesHandler, moa.streams.InstanceStream)
- moa.streams.generators.RandomRBFGeneratorDrift
- moa.streams.generators.RandomTreeGenerator (implements moa.capabilities.CapabilitiesHandler, moa.streams.InstanceStream)
- moa.streams.generators.SEAGenerator (implements moa.capabilities.CapabilitiesHandler, moa.streams.InstanceStream)
- moa.classifiers.rules.multilabel.inputselectors.SelectAllInputs (implements moa.classifiers.rules.multilabel.inputselectors.InputAttributesSelector)
- moa.classifiers.rules.multilabel.outputselectors.SelectAllOutputs (implements moa.classifiers.rules.multilabel.outputselectors.OutputAttributesSelector)
- moa.streams.generators.SineGenerator (implements moa.streams.InstanceStream)
- moa.streams.generators.STAGGERGenerator (implements moa.capabilities.CapabilitiesHandler, moa.streams.InstanceStream)
- moa.classifiers.rules.multilabel.outputselectors.StdDevThreshold (implements moa.classifiers.rules.multilabel.outputselectors.OutputAttributesSelector)
- moa.streams.generators.TextGenerator (implements moa.streams.InstanceStream)
- moa.classifiers.rules.core.splitcriteria.VarianceRatioSplitCriterion (implements moa.classifiers.rules.core.splitcriteria.AMRulesSplitCriterion)
- moa.classifiers.core.splitcriteria.VarianceReductionSplitCriterion (implements moa.classifiers.core.splitcriteria.SplitCriterion)
- moa.classifiers.core.splitcriteria.SDRSplitCriterion
- moa.classifiers.rules.core.splitcriteria.SDRSplitCriterionAMRules (implements moa.classifiers.rules.core.splitcriteria.AMRulesSplitCriterion)
- moa.classifiers.rules.core.splitcriteria.SDRSplitCriterionAMRulesNode (implements moa.classifiers.rules.core.splitcriteria.AMRulesSplitCriterion)
- moa.classifiers.rules.core.splitcriteria.SDRSplitCriterionAMRules (implements moa.classifiers.rules.core.splitcriteria.AMRulesSplitCriterion)
- moa.classifiers.rules.core.splitcriteria.VRSplitCriterion (implements moa.classifiers.rules.core.splitcriteria.AMRulesSplitCriterion)
- moa.classifiers.core.splitcriteria.SDRSplitCriterion
- moa.classifiers.rules.multilabel.outputselectors.VarianceThreshold (implements moa.classifiers.rules.multilabel.outputselectors.OutputAttributesSelector)
- moa.classifiers.core.attributeclassobservers.VFMLNumericAttributeClassObserver (implements moa.classifiers.core.attributeclassobservers.NumericAttributeClassObserver)
- moa.classifiers.trees.iadem.IademVFMLNumericAttributeClassObserver (implements moa.classifiers.core.attributeclassobservers.AttributeClassObserver, moa.classifiers.trees.iadem.IademNumericAttributeObserver)
- moa.streams.generators.WaveformGenerator (implements moa.capabilities.CapabilitiesHandler, moa.streams.InstanceStream)
- moa.streams.generators.WaveformGeneratorDrift
- moa.evaluation.WindowAUCImbalancedPerformanceEvaluator (implements moa.evaluation.ClassificationPerformanceEvaluator)
- moa.evaluation.WindowRegressionPerformanceEvaluator (implements moa.evaluation.RegressionPerformanceEvaluator)
- moa.classifiers.rules.core.anomalydetection.AbstractAnomalyDetector (implements moa.classifiers.rules.core.anomalydetection.AnomalyDetector)
- moa.classifiers.meta.AdaptiveRandomForest.ARFBaseLearner
- moa.classifiers.meta.AdaptiveRandomForestRegressor.ARFFIMTDDBaseLearner
- moa.classifiers.core.driftdetection.ADWIN
- moa.classifiers.trees.ARFFIMTDD.Node
- moa.classifiers.trees.ARFFIMTDD.InnerNode
- moa.classifiers.trees.ARFFIMTDD.SplitNode
- moa.classifiers.trees.ARFFIMTDD.LeafNode
- moa.classifiers.trees.ARFFIMTDD.InnerNode
- moa.classifiers.rules.multilabel.core.AttributeExpansionSuggestion (implements java.lang.Comparable<T>)
- moa.classifiers.core.AttributeSplitSuggestion (implements java.lang.Comparable<T>)
- moa.classifiers.trees.iadem.IademAttributeSplitSuggestion
- moa.evaluation.BasicConceptDriftPerformanceEvaluator (implements moa.evaluation.LearningPerformanceEvaluator<E>)
- moa.evaluation.BasicMultiLabelPerformanceEvaluator (implements moa.evaluation.MultiTargetPerformanceEvaluator)
- moa.evaluation.BasicMultiTargetPerformanceEvaluator (implements moa.evaluation.MultiTargetPerformanceEvaluator, moa.evaluation.RegressionPerformanceEvaluator)
- moa.evaluation.BasicMultiTargetPerformanceRelativeMeasuresEvaluator (implements moa.evaluation.MultiTargetPerformanceEvaluator, moa.evaluation.RegressionPerformanceEvaluator)
- moa.evaluation.BasicRegressionPerformanceEvaluator (implements moa.evaluation.RegressionPerformanceEvaluator)
- moa.streams.CachedInstancesStream (implements moa.streams.MultiTargetInstanceStream)
- moa.cluster.Cluster
- moa.cluster.SphereCluster
- moa.cluster.CFCluster
- moa.clusterers.clustree.ClusKernel
- moa.clusterers.clustream.ClustreamKernel
- moa.clusterers.dstream.DensityGrid
- moa.clusterers.denstream.MicroCluster
- moa.clusterers.macro.NonConvexCluster (implements moa.clusterers.macro.IDenseMacroCluster)
- moa.clusterers.dstream.GridCluster
- moa.clusterers.kmeanspm.ClusteringFeature
- moa.cluster.CFCluster
- moa.cluster.SphereCluster
- moa.cluster.Clustering
- moa.clusterers.kmeanspm.ClusteringTreeNode
- moa.clusterers.kmeanspm.ClusteringTreeHeadNode
- moa.core.utils.Converter
- moa.core.DoubleVector
- moa.classifiers.trees.EFDT.Node
- moa.classifiers.trees.EFDT.LearningNode
- moa.classifiers.trees.EFDT.ActiveLearningNode
- moa.classifiers.trees.EFDT.LearningNodeNB
- moa.classifiers.trees.EFDT.LearningNodeNBAdaptive
- moa.classifiers.trees.EFDT.EFDTLearningNode (implements moa.classifiers.trees.EFDT.EFDTNode)
- moa.classifiers.trees.EFDT.LearningNodeNBAdaptive
- moa.classifiers.trees.EFDT.LearningNodeNB
- moa.classifiers.trees.EFDT.InactiveLearningNode
- moa.classifiers.trees.EFDT.ActiveLearningNode
- moa.classifiers.trees.EFDT.SplitNode
- moa.classifiers.trees.EFDT.EFDTSplitNode (implements moa.classifiers.trees.EFDT.EFDTNode)
- moa.classifiers.trees.EFDT.LearningNode
- moa.classifiers.rules.errormeasurers.ErrorMeasurement
- moa.classifiers.rules.errormeasurers.MeanAbsoluteDeviation
- moa.classifiers.rules.errormeasurers.RootMeanSquaredError
- moa.tasks.FailedTaskReport
- moa.classifiers.trees.FIMTDD.Node
- moa.classifiers.trees.FIMTDD.InnerNode
- moa.classifiers.trees.FIMTDD.SplitNode
- moa.classifiers.trees.ORTO.OptionNode
- moa.classifiers.trees.FIMTDD.LeafNode
- moa.classifiers.trees.FIMTDD.InnerNode
- moa.core.GaussianEstimator
- moa.core.GreenwaldKhannaQuantileSummary
- moa.classifiers.trees.iadem.IademGreenwaldKhannaQuantileSummary
- moa.classifiers.trees.HoeffdingOptionTree.Node
- moa.classifiers.trees.HoeffdingOptionTree.LearningNode
- moa.classifiers.trees.HoeffdingOptionTree.ActiveLearningNode
- moa.classifiers.trees.HoeffdingOptionTree.LearningNodeNB
- moa.classifiers.trees.AdaHoeffdingOptionTree.AdaLearningNode
- moa.classifiers.trees.HoeffdingOptionTree.LearningNodeNBAdaptive
- moa.classifiers.trees.HoeffdingOptionTree.LearningNodeNB
- moa.classifiers.trees.HoeffdingOptionTree.InactiveLearningNode
- moa.classifiers.trees.HoeffdingOptionTree.ActiveLearningNode
- moa.classifiers.trees.HoeffdingOptionTree.SplitNode
- moa.classifiers.trees.HoeffdingOptionTree.LearningNode
- moa.classifiers.trees.HoeffdingTree.Node
- moa.classifiers.trees.HoeffdingTree.LearningNode
- moa.classifiers.trees.HoeffdingTree.ActiveLearningNode
- moa.classifiers.trees.ARFHoeffdingTree.RandomLearningNode
- moa.classifiers.trees.ARFHoeffdingTree.LearningNodeNB
- moa.classifiers.trees.ARFHoeffdingTree.LearningNodeNBAdaptive
- moa.classifiers.trees.ARFHoeffdingTree.LearningNodeNB
- moa.classifiers.trees.HoeffdingTree.LearningNodeNB
- moa.classifiers.trees.HoeffdingTree.LearningNodeNBAdaptive
- moa.classifiers.trees.HoeffdingAdaptiveTree.AdaLearningNode (implements moa.classifiers.trees.HoeffdingAdaptiveTree.NewNode)
- moa.classifiers.trees.HoeffdingAdaptiveTreeClassifLeaves.LearningNodeHATClassifier
- moa.classifiers.trees.HoeffdingAdaptiveTree.AdaLearningNode (implements moa.classifiers.trees.HoeffdingAdaptiveTree.NewNode)
- moa.classifiers.trees.HoeffdingTree.LearningNodeNBAdaptive
- moa.classifiers.trees.HoeffdingTreeClassifLeaves.LearningNodeClassifier
- moa.classifiers.multilabel.MultilabelHoeffdingTree.MultilabelLearningNodeClassifier
- moa.classifiers.trees.LimAttHoeffdingTree.LimAttLearningNode
- moa.classifiers.trees.LimAttHoeffdingTree.LearningNodeNB
- moa.classifiers.trees.LimAttHoeffdingTree.LearningNodeNBAdaptive
- moa.classifiers.trees.LimAttHoeffdingTree.LearningNodeNB
- moa.classifiers.trees.RandomHoeffdingTree.RandomLearningNode
- moa.classifiers.trees.RandomHoeffdingTree.LearningNodeNB
- moa.classifiers.trees.RandomHoeffdingTree.LearningNodeNBAdaptive
- moa.classifiers.trees.RandomHoeffdingTree.LearningNodeNB
- moa.classifiers.rules.core.RuleActiveLearningNode
- moa.classifiers.rules.core.RuleActiveRegressionNode
- moa.classifiers.trees.ARFHoeffdingTree.RandomLearningNode
- moa.classifiers.trees.HoeffdingTree.InactiveLearningNode
- moa.classifiers.multilabel.MultilabelHoeffdingTree.MultilabelInactiveLearningNode
- moa.classifiers.trees.HoeffdingTree.ActiveLearningNode
- moa.classifiers.trees.HoeffdingTree.SplitNode
- moa.classifiers.trees.HoeffdingAdaptiveTree.AdaSplitNode (implements moa.classifiers.trees.HoeffdingAdaptiveTree.NewNode)
- moa.classifiers.rules.core.RuleSplitNode
- moa.classifiers.trees.HoeffdingTree.LearningNode
- moa.classifiers.core.conditionaltests.InstanceConditionalTest
- moa.classifiers.core.conditionaltests.InstanceConditionalBinaryTest
- moa.classifiers.core.conditionaltests.NominalAttributeBinaryTest
- moa.classifiers.trees.iadem.IademNominalAttributeBinaryTest
- moa.classifiers.rules.core.conditionaltests.NominalAttributeBinaryRulePredicate (implements moa.classifiers.rules.core.Predicate)
- moa.classifiers.rules.core.conditionaltests.NumericAttributeBinaryRulePredicate (implements moa.classifiers.rules.core.Predicate)
- moa.classifiers.core.conditionaltests.NumericAttributeBinaryTest
- moa.classifiers.trees.iadem.IademNumericAttributeBinaryTest
- moa.classifiers.core.conditionaltests.NominalAttributeBinaryTest
- moa.classifiers.core.conditionaltests.NominalAttributeMultiwayTest
- moa.classifiers.trees.iadem.IademNominalAttributeMultiwayTest
- moa.classifiers.core.conditionaltests.InstanceConditionalBinaryTest
- moa.classifiers.rules.multilabel.instancetransformers.InstanceOutputAttributesSelector (implements moa.classifiers.rules.multilabel.instancetransformers.InstanceTransformer)
- moa.classifiers.rules.multilabel.instancetransformers.InstanceAttributesSelector (implements moa.classifiers.rules.multilabel.instancetransformers.InstanceTransformer)
- moa.evaluation.LearningEvaluation
- moa.classifiers.rules.multilabel.core.Literal
- moa.evaluation.MeasureCollection
- moa.evaluation.Accuracy (implements moa.evaluation.ClassificationMeasureCollection)
- moa.evaluation.RegressionAccuracy
- moa.evaluation.ALMeasureCollection (implements moa.evaluation.ClassificationMeasureCollection)
- moa.evaluation.ChangeDetectionMeasures (implements moa.evaluation.ClassificationMeasureCollection)
- moa.evaluation.CMM
- moa.evaluation.EntropyCollection
- moa.evaluation.F1
- moa.evaluation.General
- moa.evaluation.OutlierPerformance
- moa.evaluation.Separation
- moa.evaluation.SilhouetteCoefficient
- moa.evaluation.SSQ
- moa.evaluation.StatisticalCollection
- moa.evaluation.Accuracy (implements moa.evaluation.ClassificationMeasureCollection)
- moa.core.Measurement
- moa.classifiers.rules.multilabel.instancetransformers.NoInstanceTransformation (implements moa.classifiers.rules.multilabel.instancetransformers.InstanceTransformer)
- moa.classifiers.rules.core.NominalRulePredicate (implements moa.classifiers.rules.core.Predicate)
- moa.classifiers.rules.core.NumericRulePredicate (implements moa.classifiers.rules.core.Predicate)
- moa.classifiers.rules.multilabel.core.ObservableMOAObject
- moa.classifiers.rules.multilabel.core.MultiLabelRule
- moa.classifiers.rules.multilabel.core.MultiLabelRuleClassification
- moa.classifiers.rules.multilabel.core.MultiLabelRuleRegression
- moa.classifiers.rules.multilabel.core.MultiLabelRule
- moa.classifiers.rules.Predicates
- moa.evaluation.preview.Preview
- moa.evaluation.preview.LearningCurve
- moa.evaluation.preview.PreviewCollection<CollectionElementType>
- moa.evaluation.preview.PreviewCollectionLearningCurveWrapper
- moa.classifiers.rules.core.Rule
- moa.classifiers.rules.RuleClassification
- moa.classifiers.trees.SelfOptimisingBaseTree.Node
- moa.classifiers.trees.SelfOptimisingBaseTree.InnerNode
- moa.classifiers.trees.SelfOptimisingBaseTree.SplitNode
- moa.classifiers.trees.SelfOptimisingBaseTree.LeafNode
- moa.classifiers.trees.SelfOptimisingBaseTree.InnerNode
- moa.classifiers.meta.SelfOptimisingKNearestLeaves.SelfOptimisingKNearestLeavesBaseLearner
- moa.classifiers.core.driftdetection.SeqDrift1ChangeDetector.SeqDrift1
- moa.classifiers.core.driftdetection.SeqDrift2ChangeDetector.SeqDrift2
- moa.classifiers.rules.multilabel.attributeclassobservers.SingleVector
- moa.classifiers.meta.StreamingGradientBoostedTrees.SGBT
- moa.clusterers.denstream.Timestamp
- moa.classifiers.rules.core.voting.AbstractErrorWeightedVote (implements moa.classifiers.rules.core.voting.ErrorWeightedVote)
- com.github.javacliparser.AbstractOption (implements com.github.javacliparser.Option)
- com.github.javacliparser.AbstractClassOption
- com.github.javacliparser.ClassOption
- moa.options.AbstractClassOption
- moa.options.ClassOption
- moa.options.ClassOptionWithListenerOption
- moa.options.ClassOptionWithNames
- moa.options.WEKAClassOption
- moa.options.ClassOption
- com.github.javacliparser.FlagOption
- com.github.javacliparser.FloatOption
- com.github.javacliparser.IntOption
- com.github.javacliparser.ListOption
- com.github.javacliparser.MultiChoiceOption
- moa.options.EditableMultiChoiceOption
- com.github.javacliparser.StringOption
- com.github.javacliparser.FileOption
- com.github.javacliparser.RangeOption
- com.github.javacliparser.AbstractClassOption
- moa.recommender.rc.data.AbstractRecommenderData (implements moa.recommender.rc.data.RecommenderData)
- moa.recommender.rc.data.impl.MemRecommenderData
- javax.swing.table.AbstractTableModel (implements java.io.Serializable, javax.swing.table.TableModel)
- moa.gui.active.ALTaskManagerPanel.TaskTableModel
- moa.gui.AuxiliarTaskManagerPanel.TaskTableModel
- moa.gui.conceptdrift.CDTaskManagerPanel.TaskTableModel
- moa.gui.LineGraphViewPanel.PlotTableModel
- moa.gui.MultiLabelTaskManagerPanel.TaskTableModel
- moa.gui.MultiTargetTaskManagerPanel.TaskTableModel
- moa.gui.PreviewTableModel
- moa.gui.RegressionTaskManagerPanel.TaskTableModel
- moa.gui.TaskManagerPanel.TaskTableModel
- moa.gui.experimentertab.TaskManagerTabPanel.TaskTableModel
- moa.classifiers.meta.AdaptiveRandomForest.TrainingRunnable (implements java.util.concurrent.Callable<V>, java.lang.Runnable)
- moa.evaluation.AdwinClassificationPerformanceEvaluator.AdwinEstimator (implements moa.evaluation.BasicClassificationPerformanceEvaluator.Estimator)
- moa.clusterers.meta.Algorithm
- moa.gui.experimentertab.Algorithm
- moa.classifiers.trees.ARFFIMTDD.FIMTDDPerceptron (implements java.io.Serializable)
- com.yahoo.labs.samoa.instances.ArffLoader
- com.yahoo.labs.samoa.instances.MultiTargetArffLoader
- com.yahoo.labs.samoa.instances.Attribute (implements java.io.Serializable)
- com.yahoo.labs.samoa.instances.AttributesInformation (implements java.io.Serializable)
- moa.core.AutoClassDiscovery
- moa.recommender.rc.predictor.impl.BaselinePredictor (implements moa.recommender.rc.predictor.RatingPredictor)
- moa.evaluation.BasicAUCImbalancedPerformanceEvaluator.Estimator
- moa.evaluation.BasicAUCImbalancedPerformanceEvaluator.Estimator.Score (implements java.lang.Comparable<T>)
- moa.evaluation.BasicAUCImbalancedPerformanceEvaluator.SimpleEstimator
- moa.evaluation.BasicClassificationPerformanceEvaluator.BasicEstimator (implements moa.evaluation.BasicClassificationPerformanceEvaluator.Estimator)
- moa.classifiers.rules.featureranking.BasicFeatureRanking.RuleInformation
- moa.gui.BatchCmd (implements moa.streams.clustering.ClusterEventListener)
- moa.classifiers.core.attributeclassobservers.BinaryTreeNumericAttributeClassObserver.Node (implements java.io.Serializable)
- moa.classifiers.core.attributeclassobservers.BinaryTreeNumericAttributeClassObserverRegression.Node (implements java.io.Serializable)
- moa.clusterers.meta.BooleanParameter (implements moa.clusterers.meta.IParameter)
- moa.recommender.rc.predictor.impl.BRISMFPredictor (implements moa.recommender.rc.utils.Updatable)
- moa.clusterers.streamkm.BucketManager
- moa.clusterers.streamkm.BucketManager.Bucket
- moa.gui.experimentertab.Buffer
- moa.capabilities.Capabilities
- moa.capabilities.ImmutableCapabilities
- moa.capabilities.CapabilityRequirement
- moa.clusterers.meta.CategoricalParameter (implements moa.clusterers.meta.IParameter)
- moa.gui.experimentertab.statisticaltests.CDF_Normal
- moa.classifiers.rules.featureranking.messages.ChangeDetectedMessage (implements moa.classifiers.rules.featureranking.messages.FeatureRankingMessage)
- moa.clusterers.dstream.CharacteristicVector
- moa.evaluation.CMM_GTAnalysis
- moa.evaluation.CMM_GTAnalysis.GTCluster
- moa.clusterers.macro.ColorArray
- moa.clusterers.macro.ColorObject
- java.awt.Component (implements java.awt.image.ImageObserver, java.awt.MenuContainer, java.io.Serializable)
- java.awt.Container
- javax.swing.JComponent (implements java.io.Serializable)
- javax.swing.AbstractButton (implements java.awt.ItemSelectable, javax.swing.SwingConstants)
- javax.swing.JToggleButton (implements javax.accessibility.Accessible)
- javax.swing.JCheckBox (implements javax.accessibility.Accessible)
- com.github.javacliparser.gui.FlagOptionEditComponent (implements com.github.javacliparser.gui.OptionEditComponent)
- javax.swing.JCheckBox (implements javax.accessibility.Accessible)
- javax.swing.JToggleButton (implements javax.accessibility.Accessible)
- javax.swing.JComboBox<E> (implements javax.accessibility.Accessible, java.awt.event.ActionListener, java.awt.ItemSelectable, javax.swing.event.ListDataListener)
- com.github.javacliparser.gui.MultiChoiceOptionEditComponent (implements com.github.javacliparser.gui.OptionEditComponent)
- javax.swing.JLabel (implements javax.accessibility.Accessible, javax.swing.SwingConstants)
- javax.swing.table.DefaultTableCellRenderer (implements java.io.Serializable, javax.swing.table.TableCellRenderer)
- moa.gui.active.ALTaskManagerPanel.TaskColorCodingCellRenderer (implements javax.swing.table.TableCellRenderer)
- javax.swing.table.DefaultTableCellRenderer (implements java.io.Serializable, javax.swing.table.TableCellRenderer)
- javax.swing.JPanel (implements javax.accessibility.Accessible)
- moa.gui.visualization.AbstractGraphAxes
- moa.gui.visualization.ParamGraphAxes
- moa.gui.visualization.ProcessGraphAxes
- moa.gui.visualization.AbstractGraphCanvas
- moa.gui.visualization.ParamGraphCanvas
- moa.gui.visualization.ProcessGraphCanvas
- moa.gui.visualization.AbstractGraphPlot
- moa.gui.visualization.GraphMultiCurve
- moa.gui.visualization.GraphScatter
- weka.gui.AbstractPerspective (implements weka.gui.Perspective)
- moa.gui.featureanalysis.FeatureImportancePanel
- moa.gui.featureanalysis.VisualizeFeaturesPanel
- moa.gui.AbstractTabPanel
- moa.gui.ALTabPanel
- moa.gui.AuxiliarTabPanel
- moa.gui.ClassificationTabPanel
- moa.gui.clustertab.ClusteringTabPanel
- moa.gui.ConceptDriftTabPanel
- moa.gui.experimentertab.ExperimenterTabPanel
- moa.gui.featureanalysis.FeatureAnalysisTabPanel
- moa.gui.MultiLabelTabPanel
- moa.gui.MultiTargetTabPanel
- moa.gui.outliertab.OutlierTabPanel
- moa.gui.RegressionTabPanel
- moa.gui.ScriptingTabPanel
- moa.gui.active.ALPreviewPanel (implements moa.tasks.ResultPreviewListener)
- moa.gui.active.ALTaskManagerPanel
- moa.gui.active.ALTaskTextViewerPanel
- moa.gui.experimentertab.AnalyzeTab
- moa.gui.featureanalysis.AttributeSelectionPanel
- moa.gui.featureanalysis.AttributeSummaryPanel
- moa.gui.AuxiliarTaskManagerPanel
- moa.gui.conceptdrift.CDTaskManagerPanel
- org.jfree.chart.ChartPanel (implements java.awt.event.ActionListener, org.jfree.chart.event.ChartChangeListener, org.jfree.chart.event.ChartProgressListener, java.awt.event.MouseListener, java.awt.event.MouseMotionListener, org.jfree.chart.event.OverlayChangeListener, java.awt.print.Printable, java.io.Serializable)
- moa.gui.experimentertab.ImagePanel
- com.github.javacliparser.gui.ClassOptionEditComponent (implements com.github.javacliparser.gui.OptionEditComponent)
- moa.gui.ClassOptionSelectionPanel
- com.github.javacliparser.gui.ClassOptionWithNamesEditComponent (implements com.github.javacliparser.gui.OptionEditComponent)
- moa.gui.ClassOptionWithNamesSelectionPanel
- moa.gui.clustertab.ClusteringAlgoPanel (implements java.awt.event.ActionListener)
- moa.gui.clustertab.ClusteringEvalPanel
- moa.gui.clustertab.ClusteringSetupTab
- moa.gui.clustertab.ClusteringVisualEvalPanel
- moa.gui.clustertab.ClusteringVisualTab (implements java.awt.event.ActionListener)
- moa.gui.visualization.ClusterPanel
- moa.gui.experimentertab.ExpPreviewPanel (implements moa.tasks.ResultPreviewListener)
- moa.gui.featureanalysis.FeatureImportanceDataModelPanel
- moa.gui.featureanalysis.FeatureImportanceGraph
- com.github.javacliparser.gui.FileOptionEditComponent (implements com.github.javacliparser.gui.OptionEditComponent)
- com.github.javacliparser.gui.FloatOptionEditComponent (implements com.github.javacliparser.gui.OptionEditComponent)
- moa.gui.visualization.GraphAxes
- moa.gui.visualization.GraphCanvas
- moa.gui.visualization.GraphCurve
- moa.gui.GUI
- moa.gui.experimentertab.ImageTreePanel (implements javax.swing.event.TreeSelectionListener)
- moa.gui.visualization.InfoPanel
- moa.gui.featureanalysis.InstancesSummaryPanel
- com.github.javacliparser.gui.IntOptionEditComponent (implements com.github.javacliparser.gui.OptionEditComponent)
- moa.gui.featureanalysis.LineAndScatterPanel
- moa.gui.LineGraphViewPanel
- moa.gui.LineGraphViewPanel.PlotPanel
- moa.gui.active.MeasureOverview
- moa.gui.MultiLabelTaskManagerPanel
- moa.gui.MultiTargetTaskManagerPanel
- com.github.javacliparser.gui.OptionsConfigurationPanel
- moa.gui.outliertab.OutlierAlgoPanel (implements java.awt.event.ActionListener)
- moa.gui.outliertab.OutlierEvalPanel
- moa.gui.visualization.OutlierPanel
- moa.gui.outliertab.OutlierSetupTab
- moa.gui.outliertab.OutlierVisualEvalPanel
- moa.gui.outliertab.OutlierVisualTab (implements java.awt.event.ActionListener, java.awt.event.ComponentListener)
- moa.gui.experimentertab.PlotTab
- moa.gui.visualization.PointPanel
- moa.gui.PreviewPanel (implements moa.tasks.ResultPreviewListener)
- weka.gui.visualize.PrintablePanel (implements weka.gui.visualize.PrintableHandler)
- moa.gui.featureanalysis.AttributeVisualizationPanel
- moa.gui.experimentertab.RankingGraph.SliderPanel
- moa.gui.RegressionTaskManagerPanel
- moa.gui.visualization.StreamOutlierPanel (implements java.awt.event.ComponentListener)
- moa.gui.visualization.StreamPanel (implements java.awt.event.ComponentListener)
- moa.gui.experimentertab.SummaryTab
- moa.gui.TaskLauncher
- moa.gui.experimentertab.TaskManagerForm
- moa.gui.TaskManagerPanel
- moa.gui.experimentertab.TaskManagerTabPanel
- moa.gui.experimentertab.TaskTextViewerPanel (implements java.awt.event.ActionListener)
- moa.gui.TaskTextViewerPanel (implements java.awt.event.ActionListener)
- moa.gui.TextViewerPanel
- moa.gui.WEKAClassOptionEditComponent (implements com.github.javacliparser.gui.OptionEditComponent)
- moa.gui.visualization.AbstractGraphAxes
- javax.swing.JProgressBar (implements javax.accessibility.Accessible, javax.swing.SwingConstants)
- moa.gui.active.ALTaskManagerPanel.ProgressCellRenderer (implements javax.swing.table.TableCellRenderer)
- moa.gui.AuxiliarTaskManagerPanel.ProgressCellRenderer (implements javax.swing.table.TableCellRenderer)
- moa.gui.conceptdrift.CDTaskManagerPanel.ProgressCellRenderer (implements javax.swing.table.TableCellRenderer)
- moa.gui.MultiLabelTaskManagerPanel.ProgressCellRenderer (implements javax.swing.table.TableCellRenderer)
- moa.gui.MultiTargetTaskManagerPanel.ProgressCellRenderer (implements javax.swing.table.TableCellRenderer)
- moa.gui.RegressionTaskManagerPanel.ProgressCellRenderer (implements javax.swing.table.TableCellRenderer)
- moa.gui.TaskManagerPanel.ProgressCellRenderer (implements javax.swing.table.TableCellRenderer)
- moa.gui.experimentertab.TaskManagerTabPanel.ProgressCellRenderer (implements javax.swing.table.TableCellRenderer)
- javax.swing.text.JTextComponent (implements javax.accessibility.Accessible, javax.swing.Scrollable)
- javax.swing.JTextField (implements javax.swing.SwingConstants)
- com.github.javacliparser.gui.StringOptionEditComponent (implements com.github.javacliparser.gui.OptionEditComponent)
- com.github.javacliparser.gui.ListOptionEditComponent
- com.github.javacliparser.gui.RangeOptionEditComponent
- com.github.javacliparser.gui.StringOptionEditComponent (implements com.github.javacliparser.gui.OptionEditComponent)
- javax.swing.JTextField (implements javax.swing.SwingConstants)
- javax.swing.AbstractButton (implements java.awt.ItemSelectable, javax.swing.SwingConstants)
- java.awt.Window (implements javax.accessibility.Accessible)
- java.awt.Frame (implements java.awt.MenuContainer)
- javax.swing.JFrame (implements javax.accessibility.Accessible, javax.swing.RootPaneContainer, javax.swing.WindowConstants)
- moa.gui.experimentertab.ImageViewer
- moa.gui.experimentertab.PreviewExperiments
- moa.gui.experimentertab.RankingGraph
- moa.gui.experimentertab.SummaryViewer
- javax.swing.JFrame (implements javax.accessibility.Accessible, javax.swing.RootPaneContainer, javax.swing.WindowConstants)
- java.awt.Frame (implements java.awt.MenuContainer)
- javax.swing.JComponent (implements java.io.Serializable)
- java.awt.Container
- moa.clusterers.outliers.utils.mtree.ComposedSplitFunction<DATA> (implements moa.clusterers.outliers.utils.mtree.SplitFunction<DATA>)
- moa.clusterers.streamkm.CoresetCostTriple
- moa.clusterers.kmeanspm.CoresetKMeans
- moa.classifiers.core.statisticaltests.Cramer.CramerTest
- moa.clusterers.kmeanspm.CuckooHashing<T>
- moa.classifiers.meta.DACC.Pair (implements java.lang.Comparable<T>, java.io.Serializable)
- weka.datagenerators.DataGenerator (implements weka.core.OptionHandler, weka.core.Randomizable, weka.core.RevisionHandler, java.io.Serializable)
- weka.datagenerators.ClassificationGenerator
- weka.datagenerators.classifiers.classification.MOA
- weka.datagenerators.ClassificationGenerator
- moa.clusterers.outliers.AnyOut.util.DataObject
- moa.clusterers.outliers.AnyOut.util.DataSet (implements java.lang.Iterable<T>)
- weka.core.Defaults (implements java.io.Serializable)
- moa.gui.featureanalysis.VisualizeFeaturesPanel.PreprocessDefaults
- com.yahoo.labs.samoa.instances.DenseInstanceData (implements com.yahoo.labs.samoa.instances.InstanceData)
- moa.clusterers.macro.dbscan.DenseMicroCluster
- moa.recommender.rc.utils.DenseVector.DenseVectorIterator (implements java.util.Iterator<E>)
- moa.options.DependentOptionsUpdater (implements javax.swing.event.ChangeListener, java.io.Serializable)
- moa.clusterers.kmeanspm.DietzfelbingerHash
- moa.clusterers.outliers.utils.mtree.DistanceFunctions
- moa.DoTask
- moa.classifiers.trees.EFDT.FoundNode
- moa.clusterers.outliers.AnyOut.util.EMProjectedClustering
- moa.clusterers.outliers.AnyOut.util.EMTopDownTreeBuilder
- moa.clusterers.meta.EnsembleClustererAbstract.EnsembleRunnable (implements java.util.concurrent.Callable<V>, java.lang.Runnable)
- moa.clusterers.clustree.Entry (implements java.io.Serializable)
- java.util.EventObject (implements java.io.Serializable)
- moa.streams.clustering.ClusterEvent
- moa.evaluation.EWMAClassificationPerformanceEvaluator.EWMAEstimator (implements moa.evaluation.BasicClassificationPerformanceEvaluator.Estimator)
- moa.gui.experimentertab.ExperimeterCLI
- moa.evaluation.FadingFactorClassificationPerformanceEvaluator.FadingFactorEstimator (implements moa.evaluation.BasicClassificationPerformanceEvaluator.Estimator)
- moa.gui.experimentertab.statisticaltests.Fichero
- javax.swing.filechooser.FileFilter
- moa.gui.FileExtensionFilter
- moa.classifiers.trees.FIMTDD.FIMTDDPerceptron (implements java.io.Serializable)
- moa.classifiers.core.attributeclassobservers.FIMTDDNumericAttributeClassObserver.Node (implements java.io.Serializable)
- moa.classifiers.rules.core.attributeclassobservers.FIMTDDNumericAttributeClassLimitObserver.Node
- moa.core.Globals
- moa.core.GreenwaldKhannaQuantileSummary.Tuple (implements java.io.Serializable)
- moa.gui.GUIDefaults (implements java.io.Serializable)
- moa.gui.GUIUtils
- moa.recommender.rc.utils.Hash
- moa.classifiers.core.driftdetection.HDDM_W_Test.SampleInfo
- moa.classifiers.trees.HoeffdingOptionTree.FoundNode
- moa.classifiers.trees.HoeffdingTree.FoundNode
- moa.classifiers.oneclass.HSTreeNode (implements java.io.Serializable)
- moa.gui.colorGenerator.HSVColorGenerator (implements moa.gui.colorGenerator.ColorGenerator)
- moa.classifiers.trees.iadem.Iadem2.Node (implements java.io.Serializable)
- moa.classifiers.trees.iadem.Iadem2.LeafNode
- moa.classifiers.trees.iadem.Iadem2.LeafNodeNB
- moa.classifiers.trees.iadem.Iadem2.LeafNodeNBKirkby
- moa.classifiers.trees.iadem.Iadem2.LeafNodeWeightedVote
- moa.classifiers.trees.iadem.Iadem3.AdaptiveLeafNode (implements java.io.Serializable)
- moa.classifiers.trees.iadem.Iadem3.AdaptiveLeafNodeNB
- moa.classifiers.trees.iadem.Iadem3.AdaptiveLeafNodeNBAdaptive
- moa.classifiers.trees.iadem.Iadem3.AdaptiveLeafNodeWeightedVote
- moa.classifiers.trees.iadem.Iadem3.AdaptiveLeafNodeNBKirkby
- moa.classifiers.trees.iadem.Iadem3.AdaptiveLeafNodeNBAdaptive
- moa.classifiers.trees.iadem.Iadem3.AdaptiveLeafNodeNB
- moa.classifiers.trees.iadem.Iadem2.LeafNodeNB
- moa.classifiers.trees.iadem.Iadem2.SplitNode
- moa.classifiers.trees.iadem.Iadem3.AdaptiveSplitNode (implements java.io.Serializable)
- moa.classifiers.trees.iadem.Iadem2.VirtualNode
- moa.classifiers.trees.iadem.Iadem2.NominalVirtualNode
- moa.classifiers.trees.iadem.Iadem3.AdaptiveNominalVirtualNode (implements moa.classifiers.trees.iadem.Iadem3.restartsVariablesAtDrift, java.io.Serializable)
- moa.classifiers.trees.iadem.Iadem2.NumericVirtualNode
- moa.classifiers.trees.iadem.Iadem3.AdaptiveNumericVirtualNode (implements moa.classifiers.trees.iadem.Iadem3.restartsVariablesAtDrift, java.io.Serializable)
- moa.classifiers.trees.iadem.Iadem2.NominalVirtualNode
- moa.classifiers.trees.iadem.Iadem2.LeafNode
- moa.classifiers.trees.iadem.IademCommonProcedures (implements java.io.Serializable)
- moa.classifiers.trees.iadem.IademSplitCriterion (implements java.io.Serializable)
- moa.classifiers.trees.iadem.IademVFMLNumericAttributeClassObserver.Bin (implements java.io.Serializable)
- moa.gui.experimentertab.ImageChart
- java.io.InputStream (implements java.io.Closeable)
- java.io.FilterInputStream
- moa.core.InputStreamProgressMonitor
- java.io.FilterInputStream
- moa.core.InstanceExample (implements moa.core.Example<T>)
- com.yahoo.labs.samoa.instances.InstanceImpl (implements com.yahoo.labs.samoa.instances.MultiLabelInstance)
- com.yahoo.labs.samoa.instances.DenseInstance
- moa.gui.visualization.DataPoint
- moa.evaluation.CMM_GTAnalysis.CMMPoint
- moa.gui.visualization.DataPoint
- moa.core.MultilabelInstance
- com.yahoo.labs.samoa.instances.SparseInstance
- com.yahoo.labs.samoa.instances.FilteredSparseInstance
- com.yahoo.labs.samoa.instances.DenseInstance
- com.yahoo.labs.samoa.instances.InstanceInformation (implements java.io.Serializable)
- com.yahoo.labs.samoa.instances.Instances (implements java.io.Serializable)
- com.yahoo.labs.samoa.instances.InstancesHeader
- moa.core.MultilabelInstancesHeader
- com.yahoo.labs.samoa.instances.InstancesHeader
- moa.clusterers.meta.IntegerParameter (implements moa.clusterers.meta.IParameter)
- moa.clusterers.outliers.AbstractC.ISBIndex
- moa.clusterers.outliers.Angiulli.ISBIndex
- moa.clusterers.outliers.MCOD.ISBIndex
- moa.clusterers.outliers.SimpleCOD.ISBIndex
- moa.clusterers.outliers.AbstractC.ISBIndex.ISBNode
- moa.clusterers.outliers.Angiulli.ISBIndex.ISBNode
- moa.clusterers.outliers.Angiulli.ApproxSTORM.ISBNodeAppr
- moa.clusterers.outliers.Angiulli.ExactSTORM.ISBNodeExact
- moa.clusterers.outliers.MCOD.ISBIndex.ISBNode (implements java.lang.Comparable<T>)
- moa.clusterers.outliers.SimpleCOD.ISBIndex.ISBNode (implements java.lang.Comparable<T>)
- moa.clusterers.outliers.AbstractC.ISBIndex.ISBSearchResult
- moa.clusterers.outliers.Angiulli.ISBIndex.ISBSearchResult
- moa.clusterers.outliers.MCOD.ISBIndex.ISBSearchResult
- moa.clusterers.outliers.SimpleCOD.ISBIndex.ISBSearchResult
- moa.classifiers.multilabel.trees.ISOUPTree.MultitargetPerceptron (implements java.io.Serializable)
- moa.classifiers.multilabel.trees.ISOUPTree.Node (implements java.io.Serializable)
- moa.classifiers.multilabel.trees.ISOUPTree.InnerNode
- moa.classifiers.multilabel.trees.ISOUPTree.SplitNode
- moa.classifiers.multilabel.trees.ISOUPTree.LeafNode
- moa.classifiers.multilabel.trees.ISOUPTree.InnerNode
- com.github.javacliparser.JavaCLIParser (implements java.io.Serializable)
- moa.options.OptionsHandler
- moa.classifiers.lazy.neighboursearch.kdtrees.KDTreeNode (implements java.io.Serializable)
- moa.classifiers.lazy.neighboursearch.kdtrees.KDTreeNodeSplitter (implements java.io.Serializable)
- moa.classifiers.lazy.neighboursearch.kdtrees.KMeansInpiredMethod
- moa.classifiers.lazy.neighboursearch.kdtrees.MedianOfWidestDimension
- moa.classifiers.lazy.neighboursearch.kdtrees.MidPointOfWidestDimension
- moa.classifiers.lazy.neighboursearch.kdtrees.SlidingMidPointOfWidestSide
- moa.clusterers.KMeans
- moa.classifiers.meta.LimAttClassifier.CombinationGenerator
- moa.gui.LineGraphViewPanel.PlotLine
- moa.gui.LookAndFeel
- moa.MakeObject
- moa.clusterers.outliers.MCOD.MCODBase.EventItem (implements java.lang.Comparable<T>)
- moa.clusterers.outliers.MCOD.MCODBase.EventQueue
- moa.evaluation.preview.MeanPreviewCollection
- moa.gui.experimentertab.Measure
- moa.evaluation.MembershipMatrix
- moa.recommender.rc.data.impl.MemRecommenderData.RatingIterator (implements java.util.Iterator<E>)
- moa.classifiers.rules.featureranking.messages.MeritCheckMessage (implements moa.classifiers.rules.featureranking.messages.FeatureRankingMessage)
- moa.classifiers.rules.featureranking.MeritFeatureRanking.RuleInformation
- moa.clusterers.kmeanspm.Metric
- moa.clusterers.outliers.MCOD.MicroCluster (implements java.lang.Comparable<T>, moa.clusterers.outliers.utils.mtree.DistanceFunctions.EuclideanCoordinate)
- moa.cluster.Miniball
- moa.core.MiscUtils
- moa.classifiers.deeplearning.MLP.NormalizeInfo
- weka.core.MOAUtils
- moa.clusterers.outliers.utils.mtree.MTree<DATA>
- moa.clusterers.outliers.utils.mtree.MTree.Query (implements java.lang.Iterable<T>)
- moa.clusterers.outliers.utils.mtree.MTree.ResultItem
- moa.classifiers.rules.multilabel.attributeclassobservers.MultiLabelBSTree.Node (implements java.io.Serializable)
- moa.classifiers.rules.multilabel.attributeclassobservers.MultiLabelBSTreeFloat.Node (implements java.io.Serializable)
- moa.classifiers.rules.multilabel.attributeclassobservers.MultiLabelBSTreePCT.Node (implements java.io.Serializable)
- com.yahoo.labs.samoa.instances.MultiLabelPrediction (implements com.yahoo.labs.samoa.instances.Prediction, java.io.Serializable)
- moa.classifiers.rules.multilabel.core.voting.MultiLabelVote
- moa.evaluation.MultiTargetWindowRegressionPerformanceEvaluator.Estimator
- moa.evaluation.MultiTargetWindowRegressionPerformanceRelativeMeasuresEvaluator.Estimator
- moa.clusterers.outliers.MyBaseOutlierDetector.Outlier (implements java.lang.Comparable<T>)
- moa.clusterers.outliers.MyBaseOutlierDetector.OutlierNotifier
- moa.clusterers.outliers.MyBaseOutlierDetector.StdPrintMsg (implements moa.clusterers.outliers.MyBaseOutlierDetector.PrintMsg)
- moa.classifiers.lazy.neighboursearch.NearestNeighbourSearch (implements java.io.Serializable)
- moa.classifiers.lazy.neighboursearch.KDTree
- moa.classifiers.lazy.neighboursearch.LinearNNSearch
- moa.classifiers.lazy.neighboursearch.NearestNeighbourSearch.MyHeap
- moa.classifiers.lazy.neighboursearch.NearestNeighbourSearch.MyHeapElement
- moa.classifiers.lazy.neighboursearch.NearestNeighbourSearch.NeighborList
- moa.classifiers.lazy.neighboursearch.NearestNeighbourSearch.NeighborNode
- moa.clusterers.clustree.Node (implements java.io.Serializable)
- moa.classifiers.lazy.neighboursearch.NormalizableDistance (implements moa.classifiers.lazy.neighboursearch.DistanceFunction)
- moa.classifiers.lazy.neighboursearch.EuclideanDistance (implements java.lang.Cloneable)
- moa.tasks.ipynb.NotebookBuilder
- moa.tasks.ipynb.NotebookCellBuilder
- moa.tasks.ipynb.CodeCellBuilder
- moa.tasks.ipynb.MarkDownCellBuilder
- moa.tasks.ipynb.RawCellBuilder
- moa.tasks.NullMonitor (implements moa.tasks.TaskMonitor)
- moa.clusterers.meta.NumericalParameter (implements moa.clusterers.meta.IParameter)
- moa.classifiers.meta.OnlineAccuracyUpdatedEnsemble.ClassifierWithMemory
- com.github.javacliparser.Options (implements java.io.Serializable)
- moa.tasks.ipynb.OptionsString
- moa.clusterers.meta.OrdinalParameter (implements moa.clusterers.meta.IParameter)
- java.io.OutputStream (implements java.io.Closeable, java.io.Flushable)
- com.github.javacliparser.SerializeUtils.ByteCountingOutputStream
- moa.core.SerializeUtils.ByteCountingOutputStream
- moa.classifiers.rules.driftdetection.PageHinkleyTest (implements java.io.Serializable)
- moa.classifiers.rules.driftdetection.PageHinkleyFading
- moa.clusterers.outliers.utils.mtree.utils.Pair<T>
- moa.recommender.rc.utils.Pair<T,U> (implements java.lang.Comparable<T>, java.io.Serializable)
- moa.gui.experimentertab.statisticaltests.Pareja (implements java.lang.Comparable<T>)
- moa.clusterers.outliers.utils.mtree.PartitionFunctions
- moa.clusterers.outliers.utils.mtree.PartitionFunctions.BalancedPartition<DATA> (implements moa.clusterers.outliers.utils.mtree.PartitionFunction<DATA>)
- moa.clusterers.streamkm.Point
- moa.clusterers.outliers.utils.mtree.PromotionFunctions
- moa.clusterers.outliers.utils.mtree.PromotionFunctions.RandomPromotion<DATA> (implements moa.clusterers.outliers.utils.mtree.PromotionFunction<DATA>)
- moa.core.PropertiesReader
- java.beans.PropertyEditorSupport (implements java.beans.PropertyEditor)
- weka.gui.MOAClassOptionEditor
- moa.gui.experimentertab.statisticaltests.PValuePerTwoAlgorithm
- java.util.Random (implements java.io.Serializable)
- moa.clusterers.streamkm.MTRandom
- moa.streams.generators.RandomRBFGenerator.Centroid (implements java.io.Serializable)
- moa.streams.generators.RandomTreeGenerator.Node (implements java.io.Serializable)
- com.yahoo.labs.samoa.instances.Range (implements java.io.Serializable)
- moa.gui.experimentertab.statisticaltests.RankPerAlgorithm (implements java.lang.Comparable<T>)
- moa.recommender.rc.utils.Rating
- moa.gui.experimentertab.ReadFile
- moa.gui.experimentertab.statisticaltests.Relation
- moa.streams.filters.ReplacingMissingValuesFilter.MapUtil
- moa.classifiers.rules.core.Rule.Builder (implements java.io.Serializable)
- moa.classifiers.rules.featureranking.messages.RuleExpandedMessage (implements moa.classifiers.rules.featureranking.messages.FeatureRankingMessage)
- moa.gui.visualization.RunOutlierVisualizer (implements java.awt.event.ActionListener, moa.streams.clustering.ClusterEventListener, java.lang.Runnable)
- moa.gui.visualization.RunVisualizer (implements java.awt.event.ActionListener, moa.streams.clustering.ClusterEventListener, java.lang.Runnable)
- com.yahoo.labs.samoa.instances.SamoaToWekaInstanceConverter (implements java.io.Serializable)
- moa.classifiers.core.driftdetection.SEEDChangeDetector.SEED
- moa.classifiers.core.driftdetection.SEEDChangeDetector.SEEDBlock
- moa.classifiers.core.driftdetection.SEEDChangeDetector.SEEDWindow
- moa.streams.filters.Selection
- moa.classifiers.trees.SelfOptimisingBaseTree.FIMTDDPerceptron (implements java.io.Serializable)
- moa.classifiers.core.driftdetection.SeqDrift2ChangeDetector.Block
- moa.classifiers.core.driftdetection.SeqDrift2ChangeDetector.Repository
- moa.classifiers.core.driftdetection.SeqDrift2ChangeDetector.Reservoir
- com.github.javacliparser.SerializeUtils
- moa.core.SerializeUtils
- moa.clusterers.clustree.util.SimpleBudget (implements moa.clusterers.clustree.util.Budget)
- moa.clusterers.outliers.SimpleCOD.SimpleCODBase.EventItem (implements java.lang.Comparable<T>)
- moa.clusterers.outliers.SimpleCOD.SimpleCODBase.EventQueue
- moa.core.SizeOf
- com.yahoo.labs.samoa.instances.SparseInstanceData (implements com.yahoo.labs.samoa.instances.InstanceData)
- com.yahoo.labs.samoa.instances.FilteredSparseInstanceData
- moa.recommender.rc.utils.SparseVector.SparseVectorIterator (implements java.util.Iterator<E>)
- moa.clusterers.outliers.utils.mtree.SplitFunction.SplitResult<DATA>
- moa.tasks.StandardTaskMonitor (implements moa.tasks.TaskMonitor)
- moa.gui.experimentertab.statisticaltests.StatisticalTest
- moa.core.Statistics
- moa.gui.experimentertab.Stream
- moa.classifiers.meta.StreamingGradientBoostedTrees.SGBT.BoostingCommittee (implements java.io.Serializable)
- moa.classifiers.meta.StreamingGradientBoostedTrees.SGBT.GradHess (implements java.io.Serializable)
- moa.classifiers.meta.StreamingGradientBoostedTrees.SGBT.Objective
- moa.classifiers.meta.StreamingGradientBoostedTrees.SGBT.SoftmaxCrossEntropy (implements java.io.Serializable)
- moa.classifiers.meta.StreamingGradientBoostedTrees.SGBT.SquaredError (implements java.io.Serializable)
- moa.classifiers.meta.StreamingRandomPatches.StreamingRandomPatchesClassifier
- moa.clusterers.outliers.AbstractC.StreamObj (implements java.lang.Comparable<T>, moa.clusterers.outliers.utils.mtree.DistanceFunctions.EuclideanCoordinate)
- moa.clusterers.outliers.Angiulli.StreamObj (implements java.lang.Comparable<T>, moa.clusterers.outliers.utils.mtree.DistanceFunctions.EuclideanCoordinate)
- moa.clusterers.outliers.MCOD.StreamObj (implements java.lang.Comparable<T>, moa.clusterers.outliers.utils.mtree.DistanceFunctions.EuclideanCoordinate)
- moa.clusterers.outliers.SimpleCOD.StreamObj (implements java.lang.Comparable<T>, moa.clusterers.outliers.utils.mtree.DistanceFunctions.EuclideanCoordinate)
- com.github.javacliparser.StringUtils
- moa.core.StringUtils
- moa.gui.experimentertab.Summary
- moa.gui.experimentertab.SummaryTable
- moa.clusterers.outliers.AbstractC.Test
- moa.clusterers.outliers.Angiulli.Test
- moa.clusterers.outliers.MCOD.Test
- moa.clusterers.outliers.SimpleCOD.Test
- moa.clusterers.outliers.TestSpeed
- java.lang.Thread (implements java.lang.Runnable)
- moa.gui.experimentertab.ExpTaskThread
- moa.tasks.TaskThread
- moa.tasks.meta.ALTaskThread
- java.lang.Throwable (implements java.io.Serializable)
- java.lang.Exception
- moa.classifiers.trees.iadem.IademException (implements java.io.Serializable)
- moa.options.RequiredOptionNotSpecifiedException
- java.lang.Exception
- moa.core.TimingUtils
- moa.clusterers.streamkm.TreeCoreset
- moa.clusterers.streamkm.TreeCoreset.treeNode
- moa.clusterers.meta.TruncatedNormal
- moa.classifiers.rules.core.Utils
- moa.clusterers.outliers.utils.mtree.utils.Utils
- moa.core.Utils
- moa.recommender.rc.utils.Vector (implements java.io.Serializable)
- moa.recommender.rc.utils.DenseVector
- moa.recommender.rc.utils.SparseVector
- moa.classifiers.core.attributeclassobservers.VFMLNumericAttributeClassObserver.Bin (implements java.io.Serializable)
- moa.classifiers.rules.core.voting.Vote
- moa.classifiers.rules.featureranking.WeightedMajorityFeatureRanking.RuleInformation
- moa.gui.visualization.WekaExplorer
- com.yahoo.labs.samoa.instances.WekaToSamoaInstanceConverter (implements java.io.Serializable)
- moa.core.WekaUtils
- moa.evaluation.WindowAUCImbalancedPerformanceEvaluator.Estimator
- moa.evaluation.WindowAUCImbalancedPerformanceEvaluator.Estimator.Score (implements java.lang.Comparable<T>)
- moa.evaluation.WindowAUCImbalancedPerformanceEvaluator.SimpleEstimator
- moa.evaluation.WindowClassificationPerformanceEvaluator.WindowEstimator (implements moa.evaluation.BasicClassificationPerformanceEvaluator.Estimator)
- moa.evaluation.WindowRegressionPerformanceEvaluator.Estimator
- weka.classifiers.AbstractClassifier (implements weka.core.BatchPredictor, weka.core.CapabilitiesHandler, weka.core.CapabilitiesIgnorer, weka.classifiers.Classifier, java.lang.Cloneable, weka.core.CommandlineRunnable, weka.core.OptionHandler, weka.core.RevisionHandler, java.io.Serializable)
Interface Hierarchy
- moa.streams.generators.AgrawalGenerator.ClassFunction
- moa.classifiers.rules.functions.AMRulesClassifierFunction
- moa.classifiers.rules.multilabel.functions.AMRulesFunction
- moa.streams.generators.AssetNegotiationGenerator.ClassFunction
- moa.gui.AWTRenderable
- moa.clusterers.Clusterer (also extends moa.MOAObject, moa.options.OptionHandler)
- moa.learners.Learner<E> (also extends moa.MOAObject, moa.options.OptionHandler)
- moa.classifiers.rules.functions.AMRulesLearner
- moa.classifiers.rules.functions.AMRulesRegressorFunction (also extends moa.classifiers.Regressor)
- moa.classifiers.Classifier
- moa.classifiers.active.ALClassifier
- moa.learners.featureanalysis.FeatureImportanceClassifier
- moa.classifiers.MultiLabelLearner
- moa.classifiers.MultiLabelClassifier
- moa.classifiers.MultiTargetLearnerSemiSupervised
- moa.classifiers.MultiTargetRegressor
- moa.learners.LearnerSemiSupervised<E>
- moa.classifiers.rules.functions.AMRulesLearner
- moa.gui.AWTRenderer
- moa.gui.AWTInteractiveRenderer
- moa.clusterers.clustree.util.Budget
- moa.classifiers.active.budget.BudgetManager
- java.util.concurrent.Callable<V>
- moa.classifiers.core.statisticaltests.StatisticalTest (also extends moa.options.OptionHandler)
- moa.capabilities.CapabilitiesHandler
- moa.streams.ExampleStream<E> (also extends moa.MOAObject)
- moa.streams.InstanceStream
- moa.streams.generators.cd.ConceptDriftGenerator
- moa.streams.MultiTargetInstanceStream
- moa.streams.filters.MultiLabelStreamFilter
- moa.streams.filters.StreamFilter
- moa.streams.InstanceStream
- moa.evaluation.LearningPerformanceEvaluator<E> (also extends moa.MOAObject)
- moa.evaluation.ClassificationPerformanceEvaluator
- moa.evaluation.ALClassificationPerformanceEvaluator
- moa.evaluation.MultiLabelPerformanceEvaluator
- moa.evaluation.MultiTargetPerformanceEvaluator
- moa.evaluation.RegressionPerformanceEvaluator
- moa.evaluation.ClassificationPerformanceEvaluator
- moa.streams.ExampleStream<E> (also extends moa.MOAObject)
- moa.evaluation.ClassificationMeasureCollection
- moa.gui.colorGenerator.ColorGenerator
- moa.recommender.dataset.Dataset
- moa.classifiers.lazy.neighboursearch.DistanceFunction
- moa.clusterers.outliers.utils.mtree.DistanceFunction<DATA>
- moa.clusterers.outliers.utils.mtree.DistanceFunctions.EuclideanCoordinate
- moa.classifiers.trees.EFDT.EFDTNode
- moa.classifiers.rules.core.voting.ErrorWeightedVote
- moa.classifiers.rules.multilabel.core.voting.ErrorWeightedVoteMultiLabel
- java.util.EventListener
- moa.streams.clustering.ClusterEventListener
- moa.core.Example<T>
- moa.classifiers.rules.featureranking.messages.FeatureRankingMessage
- moa.classifiers.trees.HoeffdingAdaptiveTree.NewNode
- moa.classifiers.trees.iadem.Iadem3.restartsVariablesAtDrift
- moa.clusterers.macro.IDenseMacroCluster
- moa.clusterers.macro.IMacroClusterer
- moa.clusterers.meta.IParameter
- moa.streams.generators.MixedGenerator.ClassFunction
- moa.classifiers.MultiClassClassifier
- moa.classifiers.OneClassClassifier
- moa.clusterers.outliers.MyBaseOutlierDetector.PrintMsg
- moa.clusterers.outliers.MyBaseOutlierDetector.ProgressInfo
- moa.core.ObjectRepository
- moa.classifiers.rules.multilabel.core.ObserverMOAObject
- moa.classifiers.rules.featureranking.FeatureRanking
- com.github.javacliparser.gui.OptionEditComponent
- moa.clusterers.outliers.utils.mtree.PartitionFunction<DATA>
- moa.classifiers.rules.core.Predicate
- com.yahoo.labs.samoa.instances.Prediction
- moa.clusterers.outliers.utils.mtree.PromotionFunction<DATA>
- moa.recommender.data.RecommenderData
- moa.classifiers.Regressor
- moa.classifiers.rules.functions.AMRulesRegressorFunction (also extends moa.classifiers.rules.functions.AMRulesLearner)
- moa.tasks.ResultPreviewListener
- moa.streams.generators.SEAGenerator.ClassFunction
- moa.classifiers.SemiSupervisedLearner
- java.io.Serializable
- moa.evaluation.BasicClassificationPerformanceEvaluator.Estimator
- com.github.javacliparser.Configurable
- moa.options.OptionHandler (also extends moa.MOAObject)
- moa.classifiers.rules.core.anomalydetection.AnomalyDetector
- moa.classifiers.core.attributeclassobservers.AttributeClassObserver
- moa.classifiers.core.attributeclassobservers.DiscreteAttributeClassObserver
- moa.classifiers.trees.iadem.IademNumericAttributeObserver
- moa.classifiers.core.attributeclassobservers.NumericAttributeClassObserver
- moa.classifiers.rules.multilabel.attributeclassobservers.AttributeStatisticsObserver
- moa.classifiers.rules.multilabel.attributeclassobservers.NominalStatisticsObserver
- moa.classifiers.rules.multilabel.attributeclassobservers.NumericStatisticsObserver
- moa.classifiers.core.driftdetection.ChangeDetector
- moa.clusterers.Clusterer (also extends moa.gui.AWTRenderable, moa.MOAObject)
- moa.classifiers.rules.multilabel.inputselectors.InputAttributesSelector
- moa.learners.Learner<E> (also extends moa.gui.AWTRenderable, moa.MOAObject)
- moa.classifiers.rules.functions.AMRulesLearner
- moa.classifiers.rules.functions.AMRulesRegressorFunction (also extends moa.classifiers.Regressor)
- moa.classifiers.Classifier
- moa.classifiers.active.ALClassifier
- moa.learners.featureanalysis.FeatureImportanceClassifier
- moa.classifiers.MultiLabelLearner
- moa.classifiers.MultiLabelClassifier
- moa.classifiers.MultiTargetLearnerSemiSupervised
- moa.classifiers.MultiTargetRegressor
- moa.learners.LearnerSemiSupervised<E>
- moa.classifiers.rules.functions.AMRulesLearner
- moa.classifiers.rules.multilabel.errormeasurers.MultiLabelErrorMeasurer
- moa.classifiers.rules.multilabel.errormeasurers.MultiTargetErrorMeasurer
- moa.classifiers.rules.multilabel.core.splitcriteria.MultiLabelSplitCriterion
- moa.classifiers.rules.multilabel.outputselectors.OutputAttributesSelector
- moa.classifiers.rules.core.anomalydetection.probabilityfunctions.ProbabilityFunction
- moa.classifiers.core.splitcriteria.SplitCriterion
- moa.classifiers.rules.core.splitcriteria.AMRulesSplitCriterion
- moa.classifiers.core.statisticaltests.StatisticalTest (also extends java.util.concurrent.Callable<V>)
- moa.options.OptionHandler (also extends moa.MOAObject)
- com.yahoo.labs.samoa.instances.Instance
- com.yahoo.labs.samoa.instances.MultiLabelInstance
- com.yahoo.labs.samoa.instances.InstanceData
- moa.MOAObject
- moa.clusterers.Clusterer (also extends moa.gui.AWTRenderable, moa.options.OptionHandler)
- moa.streams.ExampleStream<E> (also extends moa.capabilities.CapabilitiesHandler)
- moa.streams.InstanceStream
- moa.streams.generators.cd.ConceptDriftGenerator
- moa.streams.MultiTargetInstanceStream
- moa.streams.filters.MultiLabelStreamFilter
- moa.streams.filters.StreamFilter
- moa.streams.InstanceStream
- moa.classifiers.rules.multilabel.instancetransformers.InstanceTransformer
- moa.learners.Learner<E> (also extends moa.gui.AWTRenderable, moa.options.OptionHandler)
- moa.classifiers.rules.functions.AMRulesLearner
- moa.classifiers.rules.functions.AMRulesRegressorFunction (also extends moa.classifiers.Regressor)
- moa.classifiers.Classifier
- moa.classifiers.active.ALClassifier
- moa.learners.featureanalysis.FeatureImportanceClassifier
- moa.classifiers.MultiLabelLearner
- moa.classifiers.MultiLabelClassifier
- moa.classifiers.MultiTargetLearnerSemiSupervised
- moa.classifiers.MultiTargetRegressor
- moa.learners.LearnerSemiSupervised<E>
- moa.classifiers.rules.functions.AMRulesLearner
- moa.evaluation.LearningPerformanceEvaluator<E> (also extends moa.capabilities.CapabilitiesHandler)
- moa.evaluation.ClassificationPerformanceEvaluator
- moa.evaluation.ALClassificationPerformanceEvaluator
- moa.evaluation.MultiLabelPerformanceEvaluator
- moa.evaluation.MultiTargetPerformanceEvaluator
- moa.evaluation.RegressionPerformanceEvaluator
- moa.evaluation.ClassificationPerformanceEvaluator
- moa.options.OptionHandler (also extends com.github.javacliparser.Configurable)
- moa.classifiers.rules.core.anomalydetection.AnomalyDetector
- moa.classifiers.core.attributeclassobservers.AttributeClassObserver
- moa.classifiers.core.attributeclassobservers.DiscreteAttributeClassObserver
- moa.classifiers.trees.iadem.IademNumericAttributeObserver
- moa.classifiers.core.attributeclassobservers.NumericAttributeClassObserver
- moa.classifiers.rules.multilabel.attributeclassobservers.AttributeStatisticsObserver
- moa.classifiers.rules.multilabel.attributeclassobservers.NominalStatisticsObserver
- moa.classifiers.rules.multilabel.attributeclassobservers.NumericStatisticsObserver
- moa.classifiers.core.driftdetection.ChangeDetector
- moa.clusterers.Clusterer (also extends moa.gui.AWTRenderable, moa.MOAObject)
- moa.classifiers.rules.multilabel.inputselectors.InputAttributesSelector
- moa.learners.Learner<E> (also extends moa.gui.AWTRenderable, moa.MOAObject)
- moa.classifiers.rules.functions.AMRulesLearner
- moa.classifiers.rules.functions.AMRulesRegressorFunction (also extends moa.classifiers.Regressor)
- moa.classifiers.Classifier
- moa.classifiers.active.ALClassifier
- moa.learners.featureanalysis.FeatureImportanceClassifier
- moa.classifiers.MultiLabelLearner
- moa.classifiers.MultiLabelClassifier
- moa.classifiers.MultiTargetLearnerSemiSupervised
- moa.classifiers.MultiTargetRegressor
- moa.learners.LearnerSemiSupervised<E>
- moa.classifiers.rules.functions.AMRulesLearner
- moa.classifiers.rules.multilabel.errormeasurers.MultiLabelErrorMeasurer
- moa.classifiers.rules.multilabel.errormeasurers.MultiTargetErrorMeasurer
- moa.classifiers.rules.multilabel.core.splitcriteria.MultiLabelSplitCriterion
- moa.classifiers.rules.multilabel.outputselectors.OutputAttributesSelector
- moa.classifiers.rules.core.anomalydetection.probabilityfunctions.ProbabilityFunction
- moa.classifiers.core.splitcriteria.SplitCriterion
- moa.classifiers.rules.core.splitcriteria.AMRulesSplitCriterion
- moa.classifiers.core.statisticaltests.StatisticalTest (also extends java.util.concurrent.Callable<V>)
- moa.tasks.Task
- com.github.javacliparser.Option
- moa.recommender.predictor.RatingPredictor
- moa.recommender.rc.predictor.RatingPredictor
- moa.recommender.rc.data.RecommenderData
- moa.streams.generators.SineGenerator.ClassFunction
- moa.clusterers.outliers.utils.mtree.SplitFunction<DATA>
- moa.streams.generators.STAGGERGenerator.ClassFunction
- moa.tasks.TaskCompletionListener
- moa.tasks.TaskMonitor
- moa.recommender.rc.utils.Updatable
Enum Hierarchy
- java.lang.Object
- java.lang.Enum<E> (implements java.lang.Comparable<T>, java.io.Serializable)
- moa.capabilities.Capability
- moa.gui.experimentertab.ExpPreviewPanel.TypePanel
- moa.gui.experimentertab.ExpTaskThread.Status
- moa.clusterers.outliers.MCOD.ISBIndex.ISBNode.NodeType
- moa.tasks.Plot.LegendLocation
- moa.tasks.Plot.LegendType
- moa.tasks.Plot.PlotStyle
- moa.tasks.Plot.Terminal
- moa.gui.experimentertab.PlotTab.LegendType
- moa.gui.experimentertab.PlotTab.PlotStyle
- moa.gui.experimentertab.PlotTab.Terminal
- moa.gui.PreviewPanel.TypePanel
- moa.tasks.TaskThread.Status
- java.lang.Enum<E> (implements java.lang.Comparable<T>, java.io.Serializable)