Class Hierarchy
- java.lang.Object
- weka.classifiers.AbstractClassifier (implements weka.core.BatchPredictor, weka.core.CapabilitiesHandler, weka.core.CapabilitiesIgnorer, weka.classifiers.Classifier, java.lang.Cloneable, weka.core.CommandlineRunnable, weka.core.OptionHandler, weka.core.RevisionHandler, java.io.Serializable)
- weka.classifiers.meta.Fallback
- weka.classifiers.MultipleClassifiersCombiner
- weka.classifiers.meta.AbstainAverage (implements weka.classifiers.AbstainingClassifier, weka.core.WeightedInstancesHandler)
- weka.classifiers.meta.AbstainAverageWithClassifierWeights (implements weka.classifiers.AbstainingClassifier, weka.core.WeightedInstancesHandler)
- weka.classifiers.meta.AbstainingCascade (implements weka.core.ModelOutputHandler)
- weka.classifiers.meta.Consensus (implements weka.classifiers.AbstainingClassifier)
- weka.classifiers.meta.ConsensusOrVote (implements weka.classifiers.AbstainingClassifier, weka.core.ModelOutputHandler)
- weka.classifiers.ParallelMultipleClassifiersCombiner
- weka.classifiers.meta.PartitionedStacking
- weka.classifiers.RandomizableMultipleClassifiersCombiner (implements weka.core.Randomizable)
- weka.classifiers.meta.AbstainVote (implements weka.classifiers.AbstainingClassifier, weka.core.WeightedInstancesHandler)
- weka.classifiers.meta.ClassifierCascade
- weka.classifiers.meta.MultiScheme
- weka.classifiers.meta.LeanMultiScheme
- weka.classifiers.meta.Veto (implements weka.core.ModelOutputHandler)
- weka.classifiers.SingleClassifierEnhancer
- weka.classifiers.meta.AbstainAttributePercentile (implements weka.classifiers.AbstainingClassifier, weka.core.WeightedInstancesHandler)
- weka.classifiers.meta.AbstainingClassifierWrapper (implements weka.classifiers.AbstainingClassifier, weka.classifiers.ThreadSafeClassifier)
- weka.classifiers.meta.AbstainLeastMedianSq (implements weka.classifiers.AbstainingClassifier, weka.core.WeightedInstancesHandler)
- weka.classifiers.meta.AbstainMinimumProbability (implements weka.classifiers.AbstainingClassifier)
- weka.classifiers.meta.ClassificationViaRegressionD (implements weka.core.TechnicalInformationHandler)
- weka.classifiers.meta.Corr (implements weka.core.WeightedInstancesHandler)
- weka.classifiers.meta.FilteredClassifier (implements weka.core.BatchPredictor, weka.core.Drawable, weka.classifiers.IterativeClassifier, weka.core.PartitionGenerator)
- weka.classifiers.meta.FilteredClassifierExt (implements weka.classifiers.AbstainingClassifier, weka.classifiers.IntervalEstimator, adams.core.StoppableWithFeedback, weka.classifiers.ThreadSafeClassifier, weka.core.WeightedInstancesHandler)
- weka.classifiers.meta.HighLowSplit (implements weka.core.WeightedInstancesHandler)
- weka.classifiers.meta.HighLowSplitSingleClassifier (implements weka.core.WeightedInstancesHandler)
- weka.classifiers.IteratedSingleClassifierEnhancer
- weka.classifiers.ParallelIteratedSingleClassifierEnhancer
- weka.classifiers.RandomizableParallelIteratedSingleClassifierEnhancer (implements weka.core.Randomizable)
- weka.classifiers.meta.Bagging (implements weka.core.AdditionalMeasureProducer, weka.core.Aggregateable<E>, weka.core.PartitionGenerator, weka.core.TechnicalInformationHandler, weka.core.WeightedInstancesHandler)
- weka.classifiers.meta.InputSmearing
- weka.classifiers.meta.Bagging (implements weka.core.AdditionalMeasureProducer, weka.core.Aggregateable<E>, weka.core.PartitionGenerator, weka.core.TechnicalInformationHandler, weka.core.WeightedInstancesHandler)
- weka.classifiers.RandomizableParallelIteratedSingleClassifierEnhancer (implements weka.core.Randomizable)
- weka.classifiers.ParallelIteratedSingleClassifierEnhancer
- weka.classifiers.meta.LeastMedianSq (implements weka.core.WeightedInstancesHandler)
- weka.classifiers.meta.LogClassRegressor
- weka.classifiers.meta.LogTargetRegressor
- weka.classifiers.meta.MinMaxLimits (implements weka.classifiers.AbstainingClassifier, weka.core.WeightedInstancesHandler)
- weka.classifiers.meta.PeakTransformed (implements weka.core.WeightedInstancesHandler)
- weka.classifiers.RandomizableSingleClassifierEnhancer (implements weka.core.Randomizable)
- weka.classifiers.meta.SubsetEnsemble
- weka.classifiers.meta.VotedImbalance (implements weka.core.ModelOutputHandler)
- weka.classifiers.meta.RangeCheck (implements weka.classifiers.RangeCheckClassifier)
- weka.classifiers.meta.SumTransformed (implements weka.core.WeightedInstancesHandler)
- weka.classifiers.meta.SuppressModelOutput (implements weka.core.ModelOutputHandler)
- weka.classifiers.meta.ThreadSafeClassifierWrapper (implements weka.classifiers.AbstainingClassifier, weka.classifiers.ThreadSafeClassifier)
- weka.classifiers.meta.ThresholdedBinaryClassification (implements weka.core.ModelOutputHandler)
- weka.classifiers.meta.WeightedInstancesHandlerWrapper (implements weka.core.WeightedInstancesHandler)
- weka.classifiers.meta.SocketFacade
- weka.classifiers.AbstractClassifier (implements weka.core.BatchPredictor, weka.core.CapabilitiesHandler, weka.core.CapabilitiesIgnorer, weka.classifiers.Classifier, java.lang.Cloneable, weka.core.CommandlineRunnable, weka.core.OptionHandler, weka.core.RevisionHandler, java.io.Serializable)
Enum Hierarchy
- java.lang.Object
- java.lang.Enum<E> (implements java.lang.Comparable<T>, java.io.Serializable)
- weka.classifiers.meta.ClassifierCascade.Combination
- weka.classifiers.meta.ClassifierCascade.ThresholdCheck
- weka.classifiers.meta.MinMaxLimits.LimitHandling
- java.lang.Enum<E> (implements java.lang.Comparable<T>, java.io.Serializable)