Class Hierarchy
- java.lang.Object
- weka.classifiers.AbstractClassifier (implements weka.core.CapabilitiesHandler, weka.classifiers.Classifier, java.lang.Cloneable, 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>)
- weka.core.AbstractInstance (implements weka.core.Instance, weka.core.RevisionHandler, java.io.Serializable)
- weka.core.DenseInstance
- weka.core.SparseInstance
- moa.clusterers.macro.AbstractMacroClusterer
- moa.clusterers.macro.dbscan.DBScan
- moa.AbstractMOAObject (implements moa.MOAObject)
- moa.recommender.rc.data.AbstractRecommenderData (implements moa.recommender.rc.data.RecommenderData)
- javax.swing.table.AbstractTableModel (implements java.io.Serializable, javax.swing.table.TableModel)
- moa.core.AutoClassDiscovery
- moa.recommender.rc.predictor.impl.BaselinePredictor (implements moa.recommender.rc.predictor.RatingPredictor)
- 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.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.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>)
- moa.clusterers.macro.dbscan.DenseMicroCluster
- moa.recommender.rc.utils.DenseVector.DenseVectorIterator (implements java.util.Iterator<E>)
- moa.clusterers.outliers.utils.mtree.DistanceFunctions
- moa.DoTask
- moa.clusterers.outliers.AnyOut.util.EMProjectedClustering
- moa.clusterers.outliers.AnyOut.util.EMTopDownTreeBuilder
- moa.clusterers.clustree.Entry
- moa.core.utils.EvalUtils
- java.util.EventObject (implements java.io.Serializable)
- moa.evaluation.EWMAClassificationPerformanceEvaluator.Estimator
- moa.evaluation.FadingFactorClassificationPerformanceEvaluator.Estimator
- javax.swing.filechooser.FileFilter
- moa.classifiers.trees.FIMTDD.FIMTDDPerceptron
- 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
- java.io.InputStream (implements java.io.Closeable)
- moa.clusterers.outliers.AbstractC.ISBIndex
- moa.clusterers.outliers.MCOD.ISBIndex
- moa.clusterers.outliers.Angiulli.ISBIndex
- moa.clusterers.outliers.SimpleCOD.ISBIndex
- moa.clusterers.outliers.AbstractC.ISBIndex.ISBNode
- moa.clusterers.outliers.MCOD.ISBIndex.ISBNode (implements java.lang.Comparable<T>)
- moa.clusterers.outliers.Angiulli.ISBIndex.ISBNode
- moa.clusterers.outliers.SimpleCOD.ISBIndex.ISBNode (implements java.lang.Comparable<T>)
- moa.clusterers.outliers.AbstractC.ISBIndex.ISBSearchResult
- moa.clusterers.outliers.MCOD.ISBIndex.ISBSearchResult
- moa.clusterers.outliers.Angiulli.ISBIndex.ISBSearchResult
- moa.clusterers.outliers.SimpleCOD.ISBIndex.ISBSearchResult
- moa.classifiers.lazy.neighboursearch.kdtrees.KDTreeNode (implements weka.core.RevisionHandler, 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.MembershipMatrix
- moa.recommender.rc.data.impl.MemRecommenderData.RatingIterator (implements java.util.Iterator<E>)
- 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.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
- moa.classifiers.lazy.neighboursearch.NormalizableDistance (implements moa.classifiers.lazy.neighboursearch.DistanceFunction)
- moa.tasks.NullMonitor (implements moa.tasks.TaskMonitor)
- moa.classifiers.meta.OnlineAccuracyUpdatedEnsemble.ClassifierWithMemory
- java.io.OutputStream (implements java.io.Closeable, java.io.Flushable)
- 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)
- moa.recommender.rc.utils.Rating
- moa.streams.filters.ReplacingMissingValuesFilter.MapUtil
- moa.classifiers.rules.core.Rule.Builder (implements java.io.Serializable)
- 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)
- 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
- 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.clusterers.outliers.AbstractC.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.Angiulli.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)
- moa.core.StringUtils
- moa.clusterers.outliers.AbstractC.Test
- moa.clusterers.outliers.MCOD.Test
- moa.clusterers.outliers.Angiulli.Test
- moa.clusterers.outliers.SimpleCOD.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.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.gui.visualization.WekaExplorer
- moa.evaluation.WindowClassificationPerformanceEvaluator.Estimator
- moa.evaluation.WindowRegressionPerformanceEvaluator.Estimator
Interface Hierarchy
Enum Hierarchy
Copyright © 2014 University of Waikato, Hamilton, NZ. All Rights Reserved.