Hierarchy For All Packages
- Package Hierarchies:
- classifiers, classifiers.stbarts, classifiers.usm.distance, classifiers.vdm, confidenceMachine, confidenceMachine.tcm, coreComponents, evaluationMethods, probabilityMachine, probabilityMachine.vpm, weka.associations, weka.associations.tertius, weka.attributeSelection, weka.classifiers, weka.classifiers.bayes, weka.classifiers.evaluation, weka.classifiers.functions, weka.classifiers.functions.neural, weka.classifiers.functions.pace, weka.classifiers.functions.supportVector, weka.classifiers.lazy, weka.classifiers.lazy.kstar, weka.classifiers.meta, weka.classifiers.misc, weka.classifiers.rules, weka.classifiers.rules.part, weka.classifiers.trees, weka.classifiers.trees.adtree, weka.classifiers.trees.j48, weka.classifiers.trees.lmt, weka.classifiers.trees.m5, weka.clusterers, weka.core, weka.core.converters, weka.datagenerators, weka.estimators, weka.experiment, weka.filters, weka.filters.supervised.attribute, weka.filters.supervised.instance, weka.filters.unsupervised.attribute, weka.filters.unsupervised.instance, weka.gui, weka.gui.beans, weka.gui.boundaryvisualizer, weka.gui.experiment, weka.gui.explorer, weka.gui.graphvisualizer, weka.gui.streams, weka.gui.treevisualizer, weka.gui.visualize
Class Hierarchy
- class java.lang.Object
- class java.util.AbstractCollection (implements java.util.Collection)
- class java.util.AbstractList (implements java.util.List)
- class java.util.Vector (implements java.lang.Cloneable, java.util.List, java.util.RandomAccess, java.io.Serializable)
- class weka.core.converters.AbstractLoader (implements weka.core.converters.Loader)
- class weka.classifiers.bayes.ADNode
- class classifiers.AlphaProb_SMO.BinarySMO (implements java.io.Serializable)
- class coreComponents.ArffCreator
- class weka.attributeSelection.ASEvaluation (implements java.io.Serializable)
- class weka.attributeSelection.ASSearch (implements java.io.Serializable)
- class weka.associations.Associator (implements java.lang.Cloneable, java.io.Serializable)
- class weka.core.Attribute (implements weka.core.Copyable, java.io.Serializable)
- class weka.gui.visualize.AttributePanelEvent
- class weka.attributeSelection.AttributeSelection (implements java.io.Serializable)
- class weka.core.AttributeStats (implements java.io.Serializable)
- class weka.experiment.AveragingResultProducer (implements weka.core.AdditionalMeasureProducer, weka.core.OptionHandler, weka.experiment.ResultListener, weka.experiment.ResultProducer)
- class weka.gui.beans.BeanConnection (implements java.io.Serializable)
- class weka.gui.beans.BeanInstance (implements java.io.Serializable)
- class weka.attributeSelection.BestFirst.Link2 (implements java.io.Serializable)
- class weka.gui.graphvisualizer.BIFParser (implements weka.gui.graphvisualizer.GraphConstants)
- class weka.classifiers.BVDecompose (implements weka.core.OptionHandler)
- class weka.classifiers.BVDecomposeSegCVSub (implements weka.core.OptionHandler)
- class evaluationMethods.CalculateLoss (implements weka.core.OptionHandler)
- class weka.classifiers.CheckClassifier (implements weka.core.OptionHandler)
- class weka.core.CheckOptionHandler
- class weka.classifiers.Classifier (implements java.lang.Cloneable, weka.core.OptionHandler, java.io.Serializable)
- class weka.classifiers.meta.AdditiveRegression (implements weka.core.AdditionalMeasureProducer, weka.core.OptionHandler, weka.core.WeightedInstancesHandler)
- class weka.classifiers.trees.ADTree (implements weka.core.AdditionalMeasureProducer, weka.core.Drawable, weka.classifiers.IterativeClassifier, weka.core.OptionHandler, weka.core.WeightedInstancesHandler)
- class classifiers.AlphaProb_SMO (implements weka.core.WeightedInstancesHandler)
- class classifiers.AltDist_IBk (implements weka.core.OptionHandler, weka.classifiers.UpdateableClassifier, weka.core.WeightedInstancesHandler)
- class weka.classifiers.bayes.AODE (implements weka.core.OptionHandler, weka.core.WeightedInstancesHandler)
- class weka.classifiers.meta.AttributeSelectedClassifier (implements weka.core.AdditionalMeasureProducer, weka.core.Drawable, weka.core.OptionHandler)
- class classifiers.stbarts.BartsRMI
- class weka.classifiers.bayes.BayesNet (implements weka.core.Drawable, weka.core.OptionHandler, weka.core.WeightedInstancesHandler)
- class weka.classifiers.bayes.ComplementNaiveBayes (implements weka.core.OptionHandler, weka.core.WeightedInstancesHandler)
- class confidenceMachine.ConfidenceClassifier
- class weka.classifiers.rules.ConjunctiveRule (implements weka.core.OptionHandler, weka.core.WeightedInstancesHandler)
- class weka.classifiers.meta.CostSensitiveClassifier (implements weka.core.Drawable, weka.core.OptionHandler)
- class weka.classifiers.trees.DecisionStump (implements weka.classifiers.Sourcable, weka.core.WeightedInstancesHandler)
- class weka.classifiers.rules.DecisionTable (implements weka.core.AdditionalMeasureProducer, weka.core.OptionHandler, weka.core.WeightedInstancesHandler)
- class weka.classifiers.meta.Decorate (implements weka.core.OptionHandler)
- class weka.classifiers.meta.FilteredClassifier (implements weka.core.Drawable)
- class weka.classifiers.misc.FLR (implements weka.core.AdditionalMeasureProducer, java.io.Serializable, weka.core.Summarizable)
- class weka.classifiers.misc.HyperPipes
- class weka.classifiers.lazy.IB1 (implements weka.classifiers.UpdateableClassifier)
- class weka.classifiers.lazy.IBk (implements weka.core.OptionHandler, weka.classifiers.UpdateableClassifier, weka.core.WeightedInstancesHandler)
- class weka.classifiers.trees.Id3
- class weka.classifiers.trees.J48 (implements weka.core.AdditionalMeasureProducer, weka.core.Drawable, weka.core.Matchable, weka.core.OptionHandler, weka.classifiers.Sourcable, weka.core.Summarizable, weka.core.WeightedInstancesHandler)
- class weka.classifiers.rules.JRip (implements weka.core.AdditionalMeasureProducer, weka.core.OptionHandler, weka.core.WeightedInstancesHandler)
- class weka.classifiers.lazy.KStar (implements weka.classifiers.lazy.kstar.KStarConstants, weka.classifiers.UpdateableClassifier)
- class weka.classifiers.lazy.LBR
- class weka.classifiers.functions.LeastMedSq (implements weka.core.OptionHandler)
- class weka.classifiers.functions.LinearRegression (implements weka.core.OptionHandler, weka.core.WeightedInstancesHandler)
- class weka.classifiers.trees.LMT (implements weka.core.AdditionalMeasureProducer, weka.core.Drawable, weka.core.OptionHandler)
- class weka.classifiers.functions.Logistic (implements weka.core.OptionHandler, weka.core.WeightedInstancesHandler)
- class weka.classifiers.trees.lmt.LogisticBase (implements weka.core.WeightedInstancesHandler)
- class weka.classifiers.trees.lmt.LMTNode
- class weka.classifiers.trees.m5.M5Base (implements weka.core.AdditionalMeasureProducer, weka.core.OptionHandler)
- class weka.classifiers.trees.M5P (implements weka.core.Drawable)
- class weka.classifiers.rules.M5Rules
- class weka.classifiers.meta.MultiClassClassifier (implements weka.core.OptionHandler)
- class weka.classifiers.functions.MultilayerPerceptron (implements weka.core.OptionHandler, weka.core.WeightedInstancesHandler)
- class weka.classifiers.MultipleClassifiersCombiner
- class weka.classifiers.bayes.NaiveBayes (implements weka.core.OptionHandler, weka.core.WeightedInstancesHandler)
- class weka.classifiers.bayes.NaiveBayesMultinomial (implements weka.core.WeightedInstancesHandler)
- class weka.classifiers.bayes.NaiveBayesSimple
- class weka.classifiers.rules.NNge (implements weka.core.OptionHandler, weka.classifiers.UpdateableClassifier)
- class weka.classifiers.rules.OneR (implements weka.core.OptionHandler)
- class weka.classifiers.meta.OrdinalClassClassifier (implements weka.core.OptionHandler)
- class weka.classifiers.functions.PaceRegression (implements weka.core.OptionHandler, weka.core.WeightedInstancesHandler)
- class weka.classifiers.rules.PART (implements weka.core.AdditionalMeasureProducer, weka.core.OptionHandler, weka.core.Summarizable, weka.core.WeightedInstancesHandler)
- class classifiers.PC_SMO (implements weka.core.WeightedInstancesHandler)
- class weka.classifiers.trees.m5.PreConstructedLinearModel (implements java.io.Serializable)
- class weka.classifiers.rules.Prism
- class weka.classifiers.meta.RacedIncrementalLogitBoost (implements weka.core.OptionHandler, weka.classifiers.UpdateableClassifier)
- class weka.classifiers.trees.RandomForest (implements weka.core.AdditionalMeasureProducer, weka.core.OptionHandler, weka.core.Randomizable, weka.core.WeightedInstancesHandler)
- class weka.classifiers.RandomizableClassifier (implements weka.core.Randomizable)
- class weka.classifiers.trees.RandomTree (implements weka.core.OptionHandler, weka.core.Randomizable, weka.core.WeightedInstancesHandler)
- class weka.classifiers.functions.RBFNetwork (implements weka.core.OptionHandler)
- class weka.classifiers.trees.REPTree (implements weka.core.AdditionalMeasureProducer, weka.core.Drawable, weka.core.OptionHandler, weka.classifiers.Sourcable, weka.core.WeightedInstancesHandler)
- class weka.classifiers.rules.Ridor (implements weka.core.AdditionalMeasureProducer, weka.core.OptionHandler, weka.core.WeightedInstancesHandler)
- class weka.classifiers.trees.m5.RuleNode
- class weka.classifiers.functions.SimpleLinearRegression (implements weka.core.WeightedInstancesHandler)
- class weka.classifiers.functions.SimpleLogistic (implements weka.core.AdditionalMeasureProducer, weka.core.OptionHandler, weka.core.WeightedInstancesHandler)
- class weka.classifiers.SingleClassifierEnhancer
- class weka.classifiers.functions.SMO (implements weka.core.WeightedInstancesHandler)
- class weka.classifiers.functions.SMOreg (implements weka.core.OptionHandler, weka.core.WeightedInstancesHandler)
- class weka.classifiers.meta.ThresholdSelector (implements weka.core.Drawable, weka.core.OptionHandler)
- class weka.classifiers.trees.UserClassifier (implements weka.core.Drawable, weka.gui.treevisualizer.TreeDisplayListener, weka.gui.visualize.VisualizePanelListener)
- class probabilityMachine.VennProbabilityClassifier
- class weka.classifiers.misc.VFI (implements weka.core.OptionHandler, weka.core.WeightedInstancesHandler)
- class weka.classifiers.functions.VotedPerceptron (implements weka.core.OptionHandler)
- class weka.classifiers.functions.Winnow (implements weka.classifiers.UpdateableClassifier)
- class weka.classifiers.rules.ZeroR (implements weka.core.WeightedInstancesHandler)
- class weka.classifiers.rules.part.ClassifierDecList (implements java.io.Serializable)
- class weka.experiment.ClassifierSplitEvaluator (implements weka.core.AdditionalMeasureProducer, weka.core.OptionHandler, weka.experiment.SplitEvaluator)
- class weka.classifiers.trees.j48.ClassifierSplitModel (implements java.lang.Cloneable, java.io.Serializable)
- class weka.classifiers.trees.j48.ClassifierTree (implements weka.core.Drawable, java.io.Serializable)
- class weka.clusterers.Clusterer (implements java.lang.Cloneable, java.io.Serializable)
- class weka.clusterers.ClusterEvaluation
- class weka.datagenerators.ClusterGenerator (implements java.io.Serializable)
- class weka.gui.treevisualizer.Colors
- class java.awt.Component (implements java.awt.image.ImageObserver, java.awt.MenuContainer, java.io.Serializable)
- class java.awt.Container
- class javax.swing.JComponent (implements java.io.Serializable)
- class javax.swing.JLabel (implements javax.accessibility.Accessible, javax.swing.SwingConstants)
- class javax.swing.DefaultListCellRenderer (implements javax.swing.ListCellRenderer, java.io.Serializable)
- class javax.swing.JPanel (implements javax.accessibility.Accessible)
- class weka.gui.beans.AbstractDataSink (implements weka.gui.beans.BeanCommon, weka.gui.beans.DataSink, weka.gui.beans.DataSourceListener, java.io.Serializable, weka.gui.beans.TestSetListener, weka.gui.beans.TrainingSetListener, weka.gui.beans.Visible)
- class weka.gui.beans.AbstractDataSource (implements java.beans.beancontext.BeanContextChild, weka.gui.beans.DataSource, java.io.Serializable, weka.gui.beans.Visible)
- class weka.gui.beans.AbstractEvaluator (implements weka.gui.beans.BeanCommon, java.io.Serializable, weka.gui.beans.Visible)
- class weka.gui.beans.AbstractTestSetProducer (implements weka.gui.beans.BeanCommon, java.io.Serializable, weka.gui.beans.TestSetProducer, weka.gui.beans.Visible)
- class weka.gui.beans.AbstractTrainAndTestSetProducer (implements weka.gui.beans.BeanCommon, weka.gui.beans.DataSourceListener, java.io.Serializable, weka.gui.beans.TestSetProducer, weka.gui.beans.TrainingSetProducer, weka.gui.beans.Visible)
- class weka.gui.beans.CrossValidationFoldMaker (implements weka.gui.beans.DataSourceListener, weka.gui.beans.EventConstraints, java.io.Serializable, weka.gui.beans.TestSetListener, weka.gui.beans.TrainingSetListener, weka.gui.beans.UserRequestAcceptor)
- class weka.gui.beans.TrainTestSplitMaker (implements weka.gui.beans.DataSourceListener, weka.gui.beans.EventConstraints, java.io.Serializable, weka.gui.beans.TestSetListener, weka.gui.beans.TrainingSetListener, weka.gui.beans.UserRequestAcceptor)
- class weka.gui.beans.AbstractTrainingSetProducer (implements weka.gui.beans.BeanCommon, java.io.Serializable, weka.gui.beans.TrainingSetProducer, weka.gui.beans.Visible)
- class weka.gui.experiment.AlgorithmListPanel (implements java.awt.event.ActionListener)
- class weka.gui.explorer.AssociationsPanel
- class weka.gui.AttributeListPanel
- class weka.gui.AttributeSelectionPanel
- class weka.gui.explorer.AttributeSelectionPanel
- class weka.gui.AttributeSummaryPanel
- class weka.gui.AttributeVisualizationPanel
- class weka.gui.beans.BeanVisual (implements java.io.Serializable)
- class weka.gui.boundaryvisualizer.BoundaryPanel
- class weka.gui.boundaryvisualizer.BoundaryVisualizer
- class weka.gui.beans.ClassAssigner (implements weka.gui.beans.BeanCommon, weka.gui.beans.DataSource, weka.gui.beans.DataSourceListener, weka.gui.beans.EventConstraints, weka.gui.beans.InstanceListener, java.io.Serializable, weka.gui.beans.TestSetListener, weka.gui.beans.TestSetProducer, weka.gui.beans.TrainingSetListener, weka.gui.beans.TrainingSetProducer, weka.gui.beans.Visible)
- class weka.gui.beans.ClassAssignerCustomizer (implements java.beans.Customizer)
- class weka.gui.beans.Classifier (implements weka.gui.beans.BeanCommon, weka.gui.beans.EventConstraints, weka.gui.beans.InstanceListener, java.io.Serializable, weka.gui.beans.TestSetListener, weka.gui.beans.TrainingSetListener, weka.gui.beans.UserRequestAcceptor, weka.gui.beans.Visible, weka.gui.beans.WekaWrapper)
- class weka.gui.beans.ClassifierCustomizer (implements java.beans.Customizer)
- class weka.gui.explorer.ClassifierPanel
- class weka.gui.visualize.ClassPanel
- class weka.gui.explorer.ClustererPanel
- class weka.gui.beans.CrossValidationFoldMakerCustomizer (implements java.beans.Customizer)
- class weka.gui.experiment.DatasetListPanel (implements java.awt.event.ActionListener)
- class weka.gui.beans.DataVisualizer (implements java.beans.beancontext.BeanContextChild, weka.gui.beans.DataSourceListener, java.io.Serializable, weka.gui.beans.TestSetListener, weka.gui.beans.TrainingSetListener, weka.gui.beans.UserRequestAcceptor, weka.gui.beans.Visible)
- class weka.gui.experiment.DistributeExperimentPanel
- class weka.gui.experiment.Experimenter
- class weka.gui.explorer.Explorer
- class weka.gui.beans.Filter (implements weka.gui.beans.BeanCommon, weka.gui.beans.DataSource, weka.gui.beans.DataSourceListener, weka.gui.beans.EventConstraints, weka.gui.beans.InstanceListener, java.io.Serializable, weka.gui.beans.TestSetListener, weka.gui.beans.TestSetProducer, weka.gui.beans.TrainingSetListener, weka.gui.beans.TrainingSetProducer, weka.gui.beans.UserRequestAcceptor, weka.gui.beans.Visible, weka.gui.beans.WekaWrapper)
- class weka.gui.beans.FilterCustomizer (implements java.beans.Customizer)
- class weka.gui.experiment.GeneratorPropertyIteratorPanel (implements java.awt.event.ActionListener)
- class weka.gui.GenericArrayEditor (implements java.beans.PropertyEditor)
- class weka.gui.GenericObjectEditor.GOEPanel
- class weka.gui.beans.GraphViewer (implements weka.gui.beans.GraphListener, java.io.Serializable, weka.gui.beans.UserRequestAcceptor, weka.gui.beans.Visible)
- class weka.gui.graphvisualizer.GraphVisualizer (implements weka.gui.graphvisualizer.GraphConstants, weka.gui.graphvisualizer.LayoutCompleteEventListener)
- class weka.gui.experiment.HostListPanel (implements java.awt.event.ActionListener)
- class weka.gui.streams.InstanceCounter (implements weka.gui.streams.InstanceListener, java.io.Serializable)
- class weka.gui.streams.InstanceLoader (implements java.awt.event.ActionListener, weka.gui.streams.InstanceProducer, java.io.Serializable)
- class weka.gui.InstancesSummaryPanel
- class weka.gui.streams.InstanceTable (implements weka.gui.streams.InstanceListener, java.io.Serializable)
- class weka.gui.streams.InstanceViewer (implements weka.gui.streams.InstanceListener, java.io.Serializable)
- class weka.gui.beans.KnowledgeFlow (implements java.beans.PropertyChangeListener)
- class weka.gui.beans.LoaderCustomizer (implements java.beans.Customizer)
- class weka.gui.LogPanel (implements weka.gui.Logger, weka.gui.TaskLogger)
- class weka.gui.visualize.MatrixPanel
- class weka.gui.visualize.Plot2D
- class weka.gui.beans.PredictionAppender (implements weka.gui.beans.BatchClassifierListener, weka.gui.beans.BeanCommon, weka.gui.beans.DataSource, weka.gui.beans.EventConstraints, weka.gui.beans.IncrementalClassifierListener, java.io.Serializable, weka.gui.beans.Visible)
- class weka.gui.beans.PredictionAppenderCustomizer (implements java.beans.Customizer)
- class weka.gui.explorer.PreprocessPanel
- class weka.gui.PropertyPanel
- class weka.gui.PropertySheetPanel (implements java.beans.PropertyChangeListener)
- class weka.gui.ResultHistoryPanel
- class weka.gui.experiment.ResultsPanel
- class weka.gui.experiment.RunNumberPanel
- class weka.gui.experiment.RunPanel (implements java.awt.event.ActionListener)
- class weka.gui.SetInstancesPanel
- class weka.gui.experiment.SetupModePanel
- class weka.gui.experiment.SetupPanel
- class weka.gui.experiment.SimpleSetupPanel
- class weka.gui.beans.StripChart (implements weka.gui.beans.BeanCommon, weka.gui.beans.ChartListener, java.io.Serializable, weka.gui.beans.UserRequestAcceptor, weka.gui.beans.Visible)
- class weka.gui.beans.StripChartCustomizer (implements java.beans.Customizer)
- class weka.gui.beans.TextViewer (implements java.beans.beancontext.BeanContextChild, weka.gui.beans.DataSourceListener, java.io.Serializable, weka.gui.beans.TestSetListener, weka.gui.beans.TextListener, weka.gui.beans.TrainingSetListener, weka.gui.beans.UserRequestAcceptor, weka.gui.beans.Visible)
- class weka.gui.beans.TrainTestSplitMakerCustomizer (implements java.beans.Customizer)
- class weka.gui.treevisualizer.TreeVisualizer (implements java.awt.event.ActionListener, java.awt.event.ItemListener, java.awt.event.MouseListener, java.awt.event.MouseMotionListener)
- class weka.gui.visualize.VisualizePanel
- class weka.gui.WekaTaskMonitor (implements weka.gui.TaskLogger)
- class javax.swing.JPopupMenu (implements javax.accessibility.Accessible, javax.swing.MenuElement)
- class javax.swing.JScrollPane (implements javax.accessibility.Accessible, javax.swing.ScrollPaneConstants)
- class java.awt.Panel (implements javax.accessibility.Accessible)
- class java.awt.Window (implements javax.accessibility.Accessible)
- class java.awt.Dialog
- class javax.swing.JDialog (implements javax.accessibility.Accessible, javax.swing.RootPaneContainer, javax.swing.WindowConstants)
- class java.awt.Frame (implements java.awt.MenuContainer)
- class weka.gui.GUIChooser
- class javax.swing.JFrame (implements javax.accessibility.Accessible, javax.swing.RootPaneContainer, javax.swing.WindowConstants)
- class weka.gui.SimpleCLI (implements java.awt.event.ActionListener)
- class weka.attributeSelection.ConsistencySubsetEval.hashKey (implements java.io.Serializable)
- class weka.core.ContingencyTables
- class weka.core.converters.ConverterUtils (implements java.io.Serializable)
- class weka.classifiers.trees.m5.CorrelationSplitInfo (implements java.lang.Cloneable, java.io.Serializable, weka.classifiers.trees.m5.SplitEvaluate)
- class weka.classifiers.evaluation.CostCurve
- class weka.gui.CostMatrixEditor (implements java.beans.PropertyEditor)
- class evaluationMethods.CreateReliabilityCurve (implements weka.core.OptionHandler)
- class evaluationMethods.CreateROCCurve (implements weka.core.OptionHandler)
- class weka.experiment.CrossValidationResultProducer (implements weka.core.AdditionalMeasureProducer, weka.core.OptionHandler, weka.experiment.ResultProducer)
- class evaluationMethods.CrossValidEvaluation
- class weka.experiment.CSVResultListener (implements weka.core.OptionHandler, weka.experiment.ResultListener)
- class weka.experiment.DatabaseUtils (implements java.io.Serializable)
- class coreComponents.DataToArff (implements weka.core.OptionHandler)
- class weka.estimators.DDConditionalEstimator (implements weka.estimators.ConditionalEstimator)
- class weka.classifiers.rules.DecisionTable.hashKey (implements java.io.Serializable)
- class weka.classifiers.rules.DecisionTable.Link
- class java.util.Dictionary
- class java.util.Hashtable (implements java.lang.Cloneable, java.util.Map, java.io.Serializable)
- class java.util.Properties
- class weka.estimators.DiscreteEstimator (implements weka.estimators.Estimator)
- class weka.classifiers.bayes.DiscreteEstimatorBayes (implements weka.estimators.Estimator, weka.classifiers.bayes.Scoreable)
- class weka.classifiers.functions.pace.DiscreteFunction
- class coreComponents.DistanceMetric
- class weka.classifiers.trees.j48.Distribution (implements java.lang.Cloneable, java.io.Serializable)
- class weka.estimators.DKConditionalEstimator (implements weka.estimators.ConditionalEstimator)
- class weka.estimators.DNConditionalEstimator (implements weka.estimators.ConditionalEstimator)
- class weka.gui.graphvisualizer.DotParser (implements weka.gui.graphvisualizer.GraphConstants)
- class weka.classifiers.functions.pace.DoubleVector (implements java.lang.Cloneable)
- class coreComponents.DoubleWithIndex
- class coreComponents.DoubleWithIndexComparator (implements java.util.Comparator)
- class weka.gui.treevisualizer.Edge
- class evaluationMethods.EstimatorEvaluation (implements weka.core.Summarizable)
- class weka.classifiers.Evaluation (implements weka.core.Summarizable)
- class weka.classifiers.evaluation.EvaluationUtils
- class java.util.EventObject (implements java.io.Serializable)
- class weka.experiment.Experiment (implements weka.core.OptionHandler, java.io.Serializable)
- class weka.core.FastVector (implements weka.core.Copyable, java.io.Serializable)
- class weka.core.FastVector.FastVectorEnumeration (implements java.util.Enumeration)
- class javax.swing.filechooser.FileFilter
- class weka.filters.Filter (implements java.io.Serializable)
- class weka.filters.unsupervised.attribute.AbstractTimeSeries (implements weka.core.OptionHandler, weka.filters.UnsupervisedFilter)
- class weka.filters.unsupervised.attribute.Add (implements weka.core.OptionHandler, weka.filters.StreamableFilter, weka.filters.UnsupervisedFilter)
- class weka.filters.unsupervised.attribute.AddCluster (implements weka.core.OptionHandler, weka.filters.UnsupervisedFilter)
- class weka.filters.unsupervised.attribute.AddExpression (implements weka.core.OptionHandler, weka.filters.StreamableFilter, weka.filters.UnsupervisedFilter)
- class weka.filters.unsupervised.attribute.AddNoise (implements weka.core.OptionHandler, weka.filters.UnsupervisedFilter)
- class weka.filters.AllFilter
- class weka.filters.supervised.attribute.AttributeSelection (implements weka.core.OptionHandler, weka.filters.SupervisedFilter)
- class weka.filters.supervised.attribute.ClassOrder (implements weka.core.OptionHandler, weka.filters.SupervisedFilter)
- class weka.filters.unsupervised.attribute.ClusterMembership (implements weka.core.OptionHandler, weka.filters.UnsupervisedFilter)
- class weka.filters.unsupervised.attribute.Copy (implements weka.core.OptionHandler, weka.filters.StreamableFilter, weka.filters.UnsupervisedFilter)
- class weka.filters.supervised.attribute.Discretize (implements weka.core.OptionHandler, weka.filters.SupervisedFilter, weka.core.WeightedInstancesHandler)
- class weka.filters.unsupervised.attribute.FirstOrder (implements weka.core.OptionHandler, weka.filters.StreamableFilter, weka.filters.UnsupervisedFilter)
- class weka.filters.unsupervised.attribute.MakeIndicator (implements weka.core.OptionHandler, weka.filters.StreamableFilter, weka.filters.UnsupervisedFilter)
- class weka.filters.unsupervised.attribute.MergeTwoValues (implements weka.core.OptionHandler, weka.filters.StreamableFilter, weka.filters.UnsupervisedFilter)
- class weka.filters.supervised.attribute.NominalToBinary (implements weka.core.OptionHandler, weka.filters.SupervisedFilter)
- class weka.filters.unsupervised.attribute.NominalToBinary (implements weka.core.OptionHandler, weka.filters.UnsupervisedFilter)
- class weka.filters.unsupervised.instance.NonSparseToSparse (implements weka.filters.StreamableFilter, weka.filters.UnsupervisedFilter)
- class weka.filters.NullFilter
- class weka.filters.unsupervised.attribute.NumericTransform (implements weka.core.OptionHandler, weka.filters.StreamableFilter, weka.filters.UnsupervisedFilter)
- class weka.filters.unsupervised.attribute.Obfuscate (implements weka.filters.StreamableFilter, weka.filters.UnsupervisedFilter)
- class weka.filters.unsupervised.attribute.PotentialClassIgnorer
- class weka.filters.unsupervised.instance.Randomize (implements weka.core.OptionHandler, weka.filters.UnsupervisedFilter)
- class weka.filters.unsupervised.attribute.RandomProjection (implements weka.core.OptionHandler, weka.filters.UnsupervisedFilter)
- class weka.filters.unsupervised.attribute.Remove (implements weka.core.OptionHandler, weka.filters.StreamableFilter, weka.filters.UnsupervisedFilter)
- class weka.filters.unsupervised.instance.RemoveFolds (implements weka.core.OptionHandler, weka.filters.UnsupervisedFilter)
- class weka.filters.unsupervised.instance.RemoveMisclassified (implements weka.core.OptionHandler, weka.filters.UnsupervisedFilter)
- class weka.filters.unsupervised.instance.RemovePercentage (implements weka.core.OptionHandler, weka.filters.UnsupervisedFilter)
- class weka.filters.unsupervised.instance.RemoveRange (implements weka.core.OptionHandler, weka.filters.UnsupervisedFilter)
- class weka.filters.unsupervised.attribute.RemoveType (implements weka.core.OptionHandler, weka.filters.StreamableFilter, weka.filters.UnsupervisedFilter)
- class weka.filters.unsupervised.attribute.RemoveUseless (implements weka.core.OptionHandler, weka.filters.UnsupervisedFilter)
- class weka.filters.unsupervised.instance.RemoveWithValues (implements weka.core.OptionHandler, weka.filters.StreamableFilter, weka.filters.UnsupervisedFilter)
- class weka.filters.supervised.instance.Resample (implements weka.core.OptionHandler, weka.filters.SupervisedFilter)
- class weka.filters.unsupervised.instance.Resample (implements weka.core.OptionHandler, weka.filters.UnsupervisedFilter)
- class weka.filters.unsupervised.instance.SparseToNonSparse (implements weka.filters.StreamableFilter, weka.filters.UnsupervisedFilter)
- class weka.filters.supervised.instance.SpreadSubsample (implements weka.core.OptionHandler, weka.filters.SupervisedFilter)
- class weka.filters.supervised.instance.StratifiedRemoveFolds (implements weka.core.OptionHandler, weka.filters.SupervisedFilter)
- class weka.filters.unsupervised.attribute.StringToNominal (implements weka.core.OptionHandler, weka.filters.UnsupervisedFilter)
- class weka.filters.unsupervised.attribute.StringToWordVector (implements weka.core.OptionHandler, weka.filters.UnsupervisedFilter)
- class weka.filters.unsupervised.attribute.SwapValues (implements weka.core.OptionHandler, weka.filters.StreamableFilter, weka.filters.UnsupervisedFilter)
- class java.text.Format (implements java.lang.Cloneable, java.io.Serializable)
- class java.text.NumberFormat
- class java.text.DecimalFormat
- class coreComponents.GeneralUtils
- class weka.datagenerators.Generator (implements java.io.Serializable)
- class weka.datagenerators.RDG1 (implements weka.core.OptionHandler, java.io.Serializable)
- class weka.gui.GenericObjectEditor (implements weka.gui.CustomPanelSupplier, java.beans.PropertyEditor)
- class weka.gui.graphvisualizer.GraphEdge
- class weka.gui.graphvisualizer.GraphNode (implements weka.gui.graphvisualizer.GraphConstants)
- class weka.gui.graphvisualizer.HierarchicalBCEngine (implements weka.gui.graphvisualizer.GraphConstants, weka.gui.graphvisualizer.LayoutEngine)
- class weka.gui.HierarchyPropertyParser (implements java.io.Serializable)
- class weka.classifiers.trees.m5.Impurity
- class weka.core.Instance (implements weka.core.Copyable, java.io.Serializable)
- class weka.gui.streams.InstanceJoiner (implements weka.gui.streams.InstanceProducer, weka.gui.streams.SerialInstanceListener, java.io.Serializable)
- class weka.core.Instances (implements java.io.Serializable)
- class weka.classifiers.functions.pace.IntVector (implements java.lang.Cloneable)
- class weka.associations.ItemSet (implements java.io.Serializable)
- class weka.estimators.KDConditionalEstimator (implements weka.estimators.ConditionalEstimator)
- class weka.gui.boundaryvisualizer.KDDataGenerator (implements weka.gui.boundaryvisualizer.DataGenerator, java.io.Serializable)
- class weka.classifiers.functions.supportVector.Kernel (implements java.io.Serializable)
- class weka.classifiers.functions.supportVector.PolyKernel
- class weka.classifiers.functions.supportVector.RBFKernel
- class weka.estimators.KernelEstimator (implements weka.estimators.Estimator)
- class java.awt.event.KeyAdapter (implements java.awt.event.KeyListener)
- class weka.estimators.KKConditionalEstimator (implements weka.estimators.ConditionalEstimator)
- class weka.classifiers.lazy.kstar.KStarCache (implements java.io.Serializable)
- class weka.classifiers.lazy.kstar.KStarCache.CacheTable (implements java.io.Serializable)
- class weka.classifiers.lazy.kstar.KStarCache.TableEntry (implements java.io.Serializable)
- class weka.classifiers.lazy.kstar.KStarNominalAttribute (implements weka.classifiers.lazy.kstar.KStarConstants)
- class weka.classifiers.lazy.kstar.KStarNumericAttribute (implements weka.classifiers.lazy.kstar.KStarConstants)
- class weka.classifiers.lazy.kstar.KStarWrapper
- class weka.classifiers.lazy.LBR.Indexes (implements java.io.Serializable)
- class weka.experiment.LearningRateResultProducer (implements weka.core.AdditionalMeasureProducer, weka.core.OptionHandler, weka.experiment.ResultListener, weka.experiment.ResultProducer)
- class weka.classifiers.functions.neural.LinearUnit (implements weka.classifiers.functions.neural.NeuralMethod)
- class weka.associations.tertius.Literal (implements java.io.Serializable)
- class weka.associations.tertius.LiteralSet (implements java.lang.Cloneable, java.io.Serializable)
- class weka.associations.tertius.Body
- class weka.associations.tertius.Head
- class weka.estimators.MahalanobisEstimator (implements weka.estimators.Estimator)
- class weka.classifiers.rules.part.MakeDecList (implements java.io.Serializable)
- class weka.classifiers.evaluation.MarginCurve
- class weka.classifiers.functions.pace.Maths
- class coreComponents.MatlabUtils
- class weka.core.Matrix (implements java.lang.Cloneable, java.io.Serializable)
- class weka.classifiers.functions.pace.Matrix (implements java.lang.Cloneable, java.io.Serializable)
- class weka.classifiers.functions.pace.MixtureDistribution
- class weka.classifiers.trees.j48.ModelSelection (implements java.io.Serializable)
- class java.awt.event.MouseAdapter (implements java.awt.event.MouseListener)
- class weka.gui.treevisualizer.NamedColor
- class weka.estimators.NDConditionalEstimator (implements weka.estimators.ConditionalEstimator)
- class weka.classifiers.functions.neural.NeuralConnection (implements java.io.Serializable)
- class weka.classifiers.functions.neural.NeuralNode
- class weka.estimators.NNConditionalEstimator (implements weka.estimators.ConditionalEstimator)
- class weka.gui.treevisualizer.Node
- class weka.classifiers.evaluation.NominalPrediction (implements weka.classifiers.evaluation.Prediction, java.io.Serializable)
- class weka.estimators.NormalEstimator (implements weka.estimators.Estimator)
- class weka.classifiers.evaluation.NumericPrediction (implements weka.classifiers.evaluation.Prediction, java.io.Serializable)
- class evaluationMethods.OnlineEvaluation
- class weka.core.Optimization
- class weka.core.Option
- class weka.experiment.OutputZipper
- class weka.experiment.PairedStats
- class weka.experiment.PairedTTester (implements weka.core.OptionHandler)
- class weka.classifiers.bayes.ParentSet (implements java.io.Serializable)
- class coreComponents.PatternCounter
- class coreComponents.PatternCounter.PatternObject
- class weka.gui.treevisualizer.PlaceNode1 (implements weka.gui.treevisualizer.NodePlace)
- class weka.gui.treevisualizer.PlaceNode2 (implements weka.gui.treevisualizer.NodePlace)
- class weka.gui.visualize.PlotData2D
- class weka.estimators.PoissonEstimator (implements weka.estimators.Estimator)
- class weka.associations.tertius.Predicate (implements java.io.Serializable)
- class weka.classifiers.trees.adtree.PredictionNode (implements java.lang.Cloneable, java.io.Serializable)
- class java.beans.PropertyEditorSupport (implements java.beans.PropertyEditor)
- class weka.experiment.PropertyNode (implements java.io.Serializable)
- class weka.core.Queue (implements java.io.Serializable)
- class java.util.Random (implements java.io.Serializable)
- class weka.experiment.RandomSplitResultProducer (implements weka.core.AdditionalMeasureProducer, weka.core.OptionHandler, weka.experiment.ResultProducer)
- class weka.core.Range (implements java.io.Serializable)
- class weka.experiment.RegressionSplitEvaluator (implements weka.core.AdditionalMeasureProducer, weka.core.OptionHandler, weka.experiment.SplitEvaluator)
- class weka.gui.boundaryvisualizer.RemoteBoundaryVisualizerSubTask (implements weka.experiment.Task)
- class weka.experiment.RemoteExperimentEvent (implements java.io.Serializable)
- class weka.experiment.RemoteExperimentSubTask (implements weka.experiment.Task)
- class java.rmi.server.RemoteObject (implements java.rmi.Remote, java.io.Serializable)
- class java.rmi.server.RemoteServer
- class java.rmi.server.UnicastRemoteObject
- class weka.gui.boundaryvisualizer.RemoteResult (implements java.io.Serializable)
- class weka.associations.tertius.Rule (implements java.lang.Cloneable, java.io.Serializable)
- class weka.classifiers.rules.Rule (implements weka.core.Copyable, java.io.Serializable, weka.core.WeightedInstancesHandler)
- class weka.classifiers.trees.m5.Rule (implements java.io.Serializable)
- class weka.classifiers.rules.RuleStats (implements java.io.Serializable)
- class weka.gui.SaveBuffer
- class weka.core.SelectedTag
- class weka.core.SerializedObject (implements java.io.Serializable)
- class weka.classifiers.functions.neural.SigmoidUnit (implements weka.classifiers.functions.neural.NeuralMethod)
- class java.beans.SimpleBeanInfo (implements java.beans.BeanInfo)
- class weka.associations.tertius.SimpleLinkedList (implements java.io.Serializable)
- class weka.associations.tertius.SimpleLinkedList.LinkedListInverseIterator (implements java.io.Serializable)
- class weka.associations.tertius.SimpleLinkedList.LinkedListIterator (implements java.io.Serializable)
- class weka.core.SingleIndex (implements java.io.Serializable)
- class weka.classifiers.functions.supportVector.SMOset (implements java.io.Serializable)
- class weka.core.SpecialFunctions
- class weka.classifiers.trees.j48.SplitCriterion (implements java.io.Serializable)
- class weka.classifiers.trees.adtree.Splitter (implements java.lang.Cloneable, java.io.Serializable)
- class weka.core.Statistics
- class weka.experiment.Stats (implements java.io.Serializable)
- class weka.classifiers.trees.j48.Stats
- class weka.core.Stopwords
- class coreComponents.SVMToArff (implements weka.core.OptionHandler)
- class weka.gui.SysErrLog (implements weka.gui.Logger)
- class weka.core.Tag
- class weka.experiment.TaskStatusInfo (implements java.io.Serializable)
- class weka.datagenerators.Test (implements java.io.Serializable)
- class weka.classifiers.evaluation.ThresholdCurve
- class java.lang.Throwable (implements java.io.Serializable)
- class java.lang.Exception
- class weka.gui.treevisualizer.TreeBuild
- class weka.gui.treevisualizer.TreeDisplayEvent
- class weka.classifiers.evaluation.TwoClassStats
- class classifiers.usm.distance.USMComplexityCache (implements java.io.Serializable)
- class weka.core.Utils
- class weka.classifiers.trees.m5.Values
- class weka.classifiers.bayes.VaryNode
- class weka.gui.visualize.VisualizePanelEvent
- class weka.gui.visualize.VisualizeUtils
- class weka.classifiers.trees.m5.YongSplitInfo (implements java.lang.Cloneable, java.io.Serializable, weka.classifiers.trees.m5.SplitEvaluate)
Interface Hierarchy
Copyright (c)
2003 David Lindsay, Computer Learning Research Centre, Dept. Computer Science, Royal Holloway, University of London