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>)
- moa.clusterers.macro.AbstractMacroClusterer
- moa.clusterers.macro.dbscan.DBScan
- moa.AbstractMOAObject (implements moa.MOAObject)
- com.github.javacliparser.AbstractOption (implements com.github.javacliparser.Option)
- moa.recommender.rc.data.AbstractRecommenderData (implements moa.recommender.rc.data.RecommenderData)
- javax.swing.table.AbstractTableModel (implements java.io.Serializable, javax.swing.table.TableModel)
- moa.classifiers.meta.AdaptiveRandomForest.TrainingRunnable (implements java.util.concurrent.Callable<V>, java.lang.Runnable)
- moa.evaluation.AdwinClassificationPerformanceEvaluator.AdwinEstimator (implements moa.evaluation.BasicClassificationPerformanceEvaluator.Estimator)
- com.yahoo.labs.samoa.instances.ArffLoader
- 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.recommender.rc.predictor.impl.BRISMFPredictor (implements moa.recommender.rc.utils.Updatable)
- moa.clusterers.streamkm.BucketManager
- moa.clusterers.streamkm.BucketManager.Bucket
- 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)
- 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
- moa.clusterers.outliers.AnyOut.util.DataObject
- moa.clusterers.outliers.AnyOut.util.DataSet (implements java.lang.Iterable<T>)
- 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.clusterers.outliers.AnyOut.util.EMProjectedClustering
- moa.clusterers.outliers.AnyOut.util.EMTopDownTreeBuilder
- moa.clusterers.clustree.Entry (implements java.io.Serializable)
- java.util.EventObject (implements java.io.Serializable)
- moa.evaluation.EWMAClassificationPerformanceEvaluator.EWMAEstimator (implements moa.evaluation.BasicClassificationPerformanceEvaluator.Estimator)
- moa.evaluation.FadingFactorClassificationPerformanceEvaluator.FadingFactorEstimator (implements moa.evaluation.BasicClassificationPerformanceEvaluator.Estimator)
- javax.swing.filechooser.FileFilter
- moa.classifiers.trees.FIMTDD.FIMTDDPerceptron (implements java.io.Serializable)
- moa.classifiers.core.attributeclassobservers.FIMTDDNumericAttributeClassObserver.Node (implements java.io.Serializable)
- 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.gui.colorGenerator.HSVColorGenerator (implements moa.gui.colorGenerator.ColorGenerator)
- moa.classifiers.trees.iadem.Iadem2.Node (implements java.io.Serializable)
- 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)
- java.io.InputStream (implements java.io.Closeable)
- 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.InstanceInformation (implements java.io.Serializable)
- com.yahoo.labs.samoa.instances.Instances (implements java.io.Serializable)
- moa.clusterers.outliers.SimpleCOD.ISBIndex
- moa.clusterers.outliers.Angiulli.ISBIndex
- moa.clusterers.outliers.MCOD.ISBIndex
- moa.clusterers.outliers.AbstractC.ISBIndex
- moa.clusterers.outliers.SimpleCOD.ISBIndex.ISBNode (implements java.lang.Comparable<T>)
- moa.clusterers.outliers.Angiulli.ISBIndex.ISBNode
- moa.clusterers.outliers.MCOD.ISBIndex.ISBNode (implements java.lang.Comparable<T>)
- moa.clusterers.outliers.AbstractC.ISBIndex.ISBNode
- moa.clusterers.outliers.SimpleCOD.ISBIndex.ISBSearchResult
- moa.clusterers.outliers.Angiulli.ISBIndex.ISBSearchResult
- moa.clusterers.outliers.MCOD.ISBIndex.ISBSearchResult
- moa.clusterers.outliers.AbstractC.ISBIndex.ISBSearchResult
- moa.classifiers.multilabel.trees.ISOUPTree.MultitargetPerceptron
- com.github.javacliparser.JavaCLIParser (implements java.io.Serializable)
- moa.classifiers.lazy.neighboursearch.kdtrees.KDTreeNode (implements java.io.Serializable)
- moa.classifiers.lazy.neighboursearch.kdtrees.KDTreeNodeSplitter (implements java.io.Serializable)
- moa.clusterers.KMeans
- moa.classifiers.meta.LimAttClassifier.CombinationGenerator
- moa.gui.LineGraphViewPanel.PlotLine
- moa.MakeObject
- moa.clusterers.outliers.MCOD.MCODBase.EventItem (implements java.lang.Comparable<T>)
- moa.clusterers.outliers.MCOD.MCODBase.EventQueue
- moa.evaluation.preview.MeanPreviewCollection
- 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
- 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)
- 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.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.tasks.NullMonitor (implements moa.tasks.TaskMonitor)
- moa.classifiers.meta.OnlineAccuracyUpdatedEnsemble.ClassifierWithMemory
- com.github.javacliparser.Options (implements java.io.Serializable)
- java.io.OutputStream (implements java.io.Closeable, java.io.Flushable)
- moa.classifiers.meta.OzaBag.TrainingRunnable (implements java.util.concurrent.Callable<V>, java.lang.Runnable)
- moa.classifiers.meta.OzaBagAdwin.DetectingRunnable (implements java.util.concurrent.Callable<V>, java.lang.Runnable)
- moa.classifiers.meta.OzaBagAdwin.TrainingRunnable (implements java.util.concurrent.Callable<V>, java.lang.Runnable)
- moa.classifiers.rules.driftdetection.PageHinkleyTest (implements java.io.Serializable)
- moa.recommender.rc.utils.Pair<T,U> (implements java.lang.Comparable<T>, java.io.Serializable)
- moa.clusterers.outliers.utils.mtree.utils.Pair<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)
- java.util.Random (implements java.io.Serializable)
- 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.recommender.rc.utils.Rating
- 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.core.driftdetection.SeqDrift2ChangeDetector.Block
- moa.classifiers.core.driftdetection.SeqDrift2ChangeDetector.Repository
- moa.classifiers.core.driftdetection.SeqDrift2ChangeDetector.Reservoir
- moa.core.SerializeUtils
- com.github.javacliparser.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)
- 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.core.Statistics
- moa.clusterers.outliers.SimpleCOD.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.AbstractC.StreamObj (implements java.lang.Comparable<T>, moa.clusterers.outliers.utils.mtree.DistanceFunctions.EuclideanCoordinate)
- moa.core.StringUtils
- com.github.javacliparser.StringUtils
- moa.clusterers.outliers.SimpleCOD.Test
- moa.clusterers.outliers.Angiulli.Test
- moa.clusterers.outliers.MCOD.Test
- moa.clusterers.outliers.AbstractC.Test
- moa.clusterers.outliers.TestSpeed
- java.lang.Thread (implements java.lang.Runnable)
- java.lang.Throwable (implements java.io.Serializable)
- moa.core.TimingUtils
- moa.clusterers.streamkm.TreeCoreset
- moa.clusterers.streamkm.TreeCoreset.treeNode
- moa.core.Utils
- moa.classifiers.rules.core.Utils
- moa.clusterers.outliers.utils.mtree.utils.Utils
- moa.recommender.rc.utils.Vector (implements java.io.Serializable)
- 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
Interface Hierarchy
Enum Hierarchy
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