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Class Hierarchy
- class java.lang.Object
- class weka.core.converters.AbstractLoader(implements weka.core.converters.Loader)
- 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
- class weka.experiment.AveragingResultProducer(implements weka.core.AdditionalMeasureProducer, weka.core.OptionHandler, weka.experiment.ResultListener, weka.experiment.ResultProducer)
- class weka.attributeSelection.BestFirst.Link2
- class weka.classifiers.BVDecompose(implements weka.core.OptionHandler)
- class weka.classifiers.CheckClassifier(implements weka.core.OptionHandler)
- class weka.core.CheckOptionHandler
- class weka.classifiers.Classifier(implements java.lang.Cloneable, java.io.Serializable)
- class weka.classifiers.AdditiveRegression(implements weka.core.AdditionalMeasureProducer, weka.core.OptionHandler)
- class weka.classifiers.CostSensitiveClassifier(implements weka.core.Drawable, weka.core.OptionHandler)
- class weka.classifiers.CVParameterSelection(implements weka.core.OptionHandler, weka.core.Summarizable)
- class weka.classifiers.DistributionClassifier
- class weka.classifiers.AdaBoostM1(implements weka.core.OptionHandler, weka.classifiers.Sourcable, weka.core.WeightedInstancesHandler)
- class weka.classifiers.adtree.ADTree(implements weka.core.AdditionalMeasureProducer, weka.core.Drawable, weka.classifiers.IterativeClassifier, weka.core.OptionHandler, weka.core.WeightedInstancesHandler)
- class weka.classifiers.AttributeSelectedClassifier(implements weka.core.AdditionalMeasureProducer, weka.core.OptionHandler)
- class weka.classifiers.Bagging(implements weka.core.OptionHandler)
- class weka.classifiers.ClassificationViaRegression(implements weka.core.OptionHandler)
- class weka.classifiers.DecisionStump(implements weka.classifiers.Sourcable, weka.core.WeightedInstancesHandler)
- class weka.classifiers.DecisionTable(implements weka.core.AdditionalMeasureProducer, weka.core.OptionHandler, weka.core.WeightedInstancesHandler)
- class weka.classifiers.DistributionMetaClassifier(implements weka.core.OptionHandler)
- class weka.classifiers.FilteredClassifier(implements weka.core.OptionHandler)
- class weka.classifiers.HyperPipes
- class weka.classifiers.IBk(implements weka.core.OptionHandler, weka.classifiers.UpdateableClassifier, weka.core.WeightedInstancesHandler)
- class weka.classifiers.Id3
- class weka.classifiers.j48.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.KernelDensity
- class weka.classifiers.kstar.KStar(implements weka.classifiers.kstar.KStarConstants, weka.core.OptionHandler, weka.classifiers.UpdateableClassifier, weka.core.WeightedInstancesHandler)
- class weka.classifiers.Logistic(implements weka.core.OptionHandler)
- class weka.classifiers.LogitBoost(implements weka.core.OptionHandler, weka.classifiers.Sourcable)
- class weka.classifiers.MultiClassClassifier(implements weka.core.OptionHandler)
- class weka.classifiers.NaiveBayes(implements weka.core.OptionHandler, weka.core.WeightedInstancesHandler)
- class weka.classifiers.NaiveBayesSimple
- class weka.classifiers.neural.NeuralNetwork(implements weka.core.OptionHandler, weka.core.WeightedInstancesHandler)
- class weka.classifiers.j48.PART(implements weka.core.AdditionalMeasureProducer, weka.core.OptionHandler, weka.core.Summarizable, weka.core.WeightedInstancesHandler)
- class weka.classifiers.SMO(implements weka.core.OptionHandler)
- class weka.classifiers.ThresholdSelector(implements weka.core.OptionHandler)
- class weka.classifiers.UserClassifier(implements weka.core.Drawable, weka.gui.treevisualizer.TreeDisplayListener, weka.gui.visualize.VisualizePanelListener)
- class weka.classifiers.VFI(implements weka.core.OptionHandler, weka.core.WeightedInstancesHandler)
- class weka.classifiers.VotedPerceptron(implements weka.core.OptionHandler)
- class weka.classifiers.ZeroR(implements weka.core.WeightedInstancesHandler)
- class weka.classifiers.IB1(implements weka.classifiers.UpdateableClassifier)
- class weka.classifiers.LinearRegression(implements weka.core.OptionHandler, weka.core.WeightedInstancesHandler)
- class weka.classifiers.LWR(implements weka.core.OptionHandler, weka.classifiers.UpdateableClassifier, weka.core.WeightedInstancesHandler)
- class weka.classifiers.m5.M5Prime(implements weka.core.AdditionalMeasureProducer, weka.core.OptionHandler)
- class weka.classifiers.MetaCost(implements weka.core.OptionHandler)
- class weka.classifiers.MultiScheme(implements weka.core.OptionHandler)
- class weka.classifiers.OneR(implements weka.core.OptionHandler)
- class weka.classifiers.Prism
- class weka.classifiers.RegressionByDiscretization(implements weka.core.OptionHandler)
- class weka.classifiers.Stacking(implements weka.core.OptionHandler)
- class weka.classifiers.j48.ClassifierDecList(implements java.io.Serializable)
- class weka.experiment.ClassifierSplitEvaluator(implements weka.core.AdditionalMeasureProducer, weka.core.OptionHandler, weka.experiment.SplitEvaluator)
- class weka.classifiers.j48.ClassifierSplitModel(implements java.lang.Cloneable, java.io.Serializable)
- class weka.classifiers.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.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.JPanel(implements javax.accessibility.Accessible)
- 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
- class weka.core.ContingencyTables
- class weka.core.converters.ConverterUtils(implements java.io.Serializable)
- class weka.classifiers.evaluation.CostCurve
- class weka.gui.CostMatrixEditor(implements java.beans.PropertyEditor)
- class weka.experiment.CrossValidationResultProducer(implements weka.core.AdditionalMeasureProducer, weka.core.OptionHandler, weka.experiment.ResultProducer)
- class weka.experiment.CSVResultListener(implements weka.core.OptionHandler, weka.experiment.ResultListener)
- class weka.experiment.DatabaseUtils(implements java.io.Serializable)
- class weka.estimators.DDConditionalEstimator(implements weka.estimators.ConditionalEstimator)
- class weka.classifiers.DecisionTable.hashKey(implements java.io.Serializable)
- class weka.classifiers.DecisionTable.Link
- class weka.estimators.DiscreteEstimator(implements weka.estimators.Estimator)
- class weka.classifiers.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.classifiers.m5.Dvector
- class weka.gui.treevisualizer.Edge
- class weka.classifiers.m5.Errors(implements java.io.Serializable)
- 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.classifiers.m5.Function(implements java.io.Serializable)
- class weka.gui.GenericObjectEditor(implements java.beans.PropertyEditor)
- class weka.classifiers.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.associations.ItemSet(implements java.io.Serializable)
- class weka.classifiers.m5.Ivector
- class weka.estimators.KDConditionalEstimator(implements weka.estimators.ConditionalEstimator)
- class weka.estimators.KernelEstimator(implements weka.estimators.Estimator)
- class weka.estimators.KKConditionalEstimator(implements weka.estimators.ConditionalEstimator)
- class weka.classifiers.kstar.KStarCache
- class weka.classifiers.kstar.KStarCache.CacheTable
- class weka.classifiers.kstar.KStarCache.TableEntry
- class weka.classifiers.kstar.KStarNominalAttribute(implements weka.classifiers.kstar.KStarConstants)
- class weka.classifiers.kstar.KStarNumericAttribute(implements weka.classifiers.kstar.KStarConstants)
- class weka.classifiers.kstar.KStarWrapper
- class weka.experiment.LearningRateResultProducer(implements weka.core.AdditionalMeasureProducer, weka.core.OptionHandler, weka.experiment.ResultListener, weka.experiment.ResultProducer)
- class weka.classifiers.kstar.LightHashTable
- class weka.classifiers.neural.LinearUnit(implements weka.classifiers.neural.NeuralMethod)
- class weka.classifiers.m5.M5Utils
- class weka.estimators.MahalanobisEstimator(implements weka.estimators.Estimator)
- class weka.classifiers.j48.MakeDecList(implements java.io.Serializable)
- class weka.classifiers.evaluation.MarginCurve
- class weka.core.Matrix(implements java.lang.Cloneable, java.io.Serializable)
- class weka.classifiers.m5.Matrix
- class weka.classifiers.m5.Measures
- class weka.classifiers.j48.ModelSelection(implements java.io.Serializable)
- class weka.gui.treevisualizer.NamedColor
- class weka.estimators.NDConditionalEstimator(implements weka.estimators.ConditionalEstimator)
- class weka.classifiers.neural.NeuralConnection(implements java.io.Serializable)
- class weka.estimators.NNConditionalEstimator(implements weka.estimators.ConditionalEstimator)
- class weka.classifiers.m5.Node(implements java.io.Serializable)
- 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 weka.core.Option
- class weka.classifiers.m5.Options(implements java.io.Serializable)
- class weka.experiment.OutputZipper
- class weka.experiment.PairedStats
- class weka.experiment.PairedTTester(implements weka.core.OptionHandler)
- 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.classifiers.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 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.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.SaveBuffer
- class weka.core.SelectedTag
- class weka.core.SerializedObject(implements java.io.Serializable)
- class weka.classifiers.neural.SigmoidUnit(implements weka.classifiers.neural.NeuralMethod)
- class weka.core.SpecialFunctions
- class weka.classifiers.j48.SplitCriterion(implements java.io.Serializable)
- class weka.classifiers.m5.SplitInfo(implements java.io.Serializable)
- class weka.classifiers.adtree.Splitter(implements java.lang.Cloneable, java.io.Serializable)
- class weka.core.Statistics
- class weka.classifiers.j48.Stats
- class weka.experiment.Stats
- class weka.gui.SysErrLog(implements weka.gui.Logger)
- class weka.core.Tag
- class weka.experiment.TaskStatusInfo(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 weka.core.Utils
- class weka.classifiers.m5.Values
- class weka.gui.visualize.VisualizePanelEvent
- class weka.gui.visualize.VisualizeUtils
Interface Hierarchy
All Packages Index WEKA's home