All Packages Index WEKA's home
Class Hierarchy
- class java.lang.Object
- class weka.core.converters.AbstractLoader(implements weka.core.converters.Loader)
- class weka.classifiers.bayes.ADNode
- class weka.core.AlgVector(implements java.lang.Cloneable, java.io.Serializable)
- class weka.clusterers.AlgVector(implements java.lang.Cloneable, java.io.Serializable)
- 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
- 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.meta.AdditiveRegression(implements weka.core.AdditionalMeasureProducer, weka.core.OptionHandler, weka.core.WeightedInstancesHandler)
- class weka.classifiers.meta.CostSensitiveClassifier(implements weka.core.Drawable, weka.core.OptionHandler)
- class weka.classifiers.meta.CVParameterSelection(implements weka.core.OptionHandler, weka.core.Summarizable)
- class weka.classifiers.DistributionClassifier
- class weka.classifiers.meta.AdaBoostM1(implements weka.core.OptionHandler, weka.classifiers.Sourcable, weka.core.WeightedInstancesHandler)
- class weka.classifiers.trees.adtree.ADTree(implements weka.core.AdditionalMeasureProducer, weka.core.Drawable, weka.classifiers.IterativeClassifier, weka.core.OptionHandler, 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.OptionHandler)
- class weka.classifiers.meta.Bagging(implements weka.core.AdditionalMeasureProducer, weka.core.OptionHandler, weka.core.Randomizable, weka.core.WeightedInstancesHandler)
- class weka.classifiers.bayes.BayesNet(implements weka.core.OptionHandler, weka.core.WeightedInstancesHandler)
- class weka.classifiers.meta.ClassificationViaRegression(implements weka.core.OptionHandler)
- class weka.classifiers.rules.ConjunctiveRule(implements weka.core.OptionHandler, weka.core.WeightedInstancesHandler)
- 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.DistributionMetaClassifier(implements weka.core.OptionHandler)
- class weka.classifiers.meta.FilteredClassifier(implements weka.core.OptionHandler)
- class weka.classifiers.misc.HyperPipes
- 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.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.KStar(implements weka.classifiers.lazy.kstar.KStarConstants, weka.core.OptionHandler, weka.classifiers.UpdateableClassifier, weka.core.WeightedInstancesHandler)
- class weka.classifiers.lazy.LBR
- class weka.classifiers.functions.Logistic(implements weka.core.OptionHandler, weka.core.WeightedInstancesHandler)
- class weka.classifiers.meta.LogitBoost(implements weka.core.OptionHandler, weka.classifiers.Sourcable, weka.core.WeightedInstancesHandler)
- class weka.classifiers.lazy.LWL(implements weka.core.OptionHandler, weka.classifiers.UpdateableClassifier, weka.core.WeightedInstancesHandler)
- class weka.classifiers.meta.MultiBoostAB(implements weka.core.OptionHandler, weka.classifiers.Sourcable, weka.core.WeightedInstancesHandler)
- class weka.classifiers.meta.MultiClassClassifier(implements weka.core.OptionHandler)
- class weka.classifiers.bayes.NaiveBayes(implements weka.core.OptionHandler, weka.core.WeightedInstancesHandler)
- class weka.classifiers.bayes.NaiveBayesSimple
- class weka.classifiers.functions.neural.NeuralNetwork(implements weka.core.OptionHandler, weka.core.WeightedInstancesHandler)
- class weka.classifiers.meta.OrdinalClassClassifier(implements weka.core.OptionHandler)
- class weka.classifiers.rules.part.PART(implements weka.core.AdditionalMeasureProducer, weka.core.OptionHandler, weka.core.Summarizable, weka.core.WeightedInstancesHandler)
- 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.trees.RandomTree(implements weka.core.OptionHandler, weka.core.Randomizable, weka.core.WeightedInstancesHandler)
- class weka.classifiers.trees.REPTree(implements weka.core.AdditionalMeasureProducer, weka.core.Drawable, weka.core.OptionHandler, weka.classifiers.Sourcable, weka.core.WeightedInstancesHandler)
- class weka.classifiers.functions.supportVector.SMO(implements weka.core.OptionHandler, weka.core.WeightedInstancesHandler)
- class weka.classifiers.meta.StackingC(implements weka.core.OptionHandler)
- class weka.classifiers.meta.ThresholdSelector(implements weka.core.OptionHandler)
- class weka.classifiers.trees.UserClassifier(implements weka.core.Drawable, weka.gui.treevisualizer.TreeDisplayListener, weka.gui.visualize.VisualizePanelListener)
- class weka.classifiers.misc.VFI(implements weka.core.OptionHandler, weka.core.WeightedInstancesHandler)
- class weka.classifiers.meta.Vote(implements weka.core.OptionHandler)
- class weka.classifiers.functions.VotedPerceptron(implements weka.core.OptionHandler)
- class weka.classifiers.rules.ZeroR(implements weka.core.WeightedInstancesHandler)
- class weka.classifiers.meta.Grading(implements weka.core.OptionHandler)
- class weka.classifiers.lazy.IB1(implements weka.classifiers.UpdateableClassifier)
- 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.m5.M5Base(implements weka.core.AdditionalMeasureProducer, weka.core.OptionHandler)
- class weka.classifiers.trees.m5.M5P(implements weka.core.Drawable)
- class weka.classifiers.rules.M5Rules
- class weka.classifiers.meta.MetaCost(implements weka.core.OptionHandler)
- class weka.classifiers.meta.MultiScheme(implements weka.core.OptionHandler)
- class weka.classifiers.rules.Nnge(implements weka.core.OptionHandler, weka.classifiers.UpdateableClassifier)
- class weka.classifiers.rules.OneR(implements weka.core.OptionHandler)
- class weka.classifiers.functions.pace.PaceRegression(implements weka.core.OptionHandler, weka.core.WeightedInstancesHandler)
- class weka.classifiers.rules.Prism
- class weka.classifiers.meta.RegressionByDiscretization(implements weka.core.OptionHandler)
- 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.supportVector.SMOreg(implements weka.core.OptionHandler, weka.core.WeightedInstancesHandler)
- class weka.classifiers.meta.Stacking(implements weka.core.OptionHandler)
- class weka.classifiers.functions.Winnow(implements weka.core.OptionHandler, weka.classifiers.UpdateableClassifier)
- 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.FarthestFirst(implements weka.core.OptionHandler)
- class weka.clusterers.SimpleKMeans(implements weka.core.OptionHandler)
- class weka.clusterers.XMeans(implements weka.core.OptionHandler)
- 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.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.AbstractDataSource(implements 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.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.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 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
- 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 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.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 weka.core.DistanceFunction(implements java.io.Serializable)
- class weka.core.EuclideanDistance(implements java.lang.Cloneable, java.io.Serializable)
- 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.classifiers.functions.pace.DoubleVector(implements java.lang.Cloneable)
- class weka.core.DynamicArrayOfPosInt
- class weka.gui.treevisualizer.Edge
- 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.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.Discretize(implements weka.core.OptionHandler, weka.filters.UnsupervisedFilter, 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.unsupervised.attribute.Normalize(implements weka.filters.UnsupervisedFilter)
- class weka.filters.NullFilter
- class weka.filters.unsupervised.attribute.NumericToBinary(implements weka.filters.StreamableFilter, weka.filters.UnsupervisedFilter)
- 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.instance.Randomize(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.unsupervised.attribute.ReplaceMissingValues(implements 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.unsupervised.attribute.Standardize(implements weka.filters.UnsupervisedFilter)
- 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 weka.gui.GenericObjectEditor(implements weka.gui.CustomPanelSupplier, java.beans.PropertyEditor)
- 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.core.KDTree(implements weka.core.OptionHandler, 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.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 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 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 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.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.classifiers.rules.Rule(implements weka.core.Copyable, weka.core.WeightedInstancesHandler)
- class weka.classifiers.trees.m5.Rule
- class weka.classifiers.rules.RuleStats
- 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.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.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.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
All Packages Index WEKA's home