Hierarchy For Package weka.classifiers.meta

Package Hierarchies:

• All Packages

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.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.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.FilteredClassifier (implements weka.core.BatchPredictor, weka.core.Drawable, weka.classifiers.IterativeClassifier, weka.core.PartitionGenerator, weka.core.WeightedAttributesHandler, weka.core.WeightedInstancesHandler)
          • weka.classifiers.meta.FilteredClassifierExt (implements weka.classifiers.AbstainingClassifier, weka.classifiers.IntervalEstimator, adams.core.StoppableWithFeedback, weka.classifiers.ThreadSafeClassifier, weka.core.WeightedInstancesHandler)
        • 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

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