weka.core

## Interface WeightedInstancesHandler

- All Known Implementing Classes:
    AdaBoostM1, AdditiveRegression, AttributeSelectedClassifier, Bagging, BayesNet, BayesNetGenerator, BIFReader, ClassBalancer, DecisionStump, DecisionTable, Discretize, Discretize, EditableBayesNet, EM, GaussianProcesses, HoeffdingTree, IBk, InputMappedClassifier, J48, JRip, JRip.Antd, JRip.NominalAntd, JRip.NumericAntd, JRip.RipperRule, LinearRegression, LMTNode, Logistic, LogisticBase, LogitBoost, LWL, MakeDensityBasedClusterer, MergeNominalValues, MultilayerPerceptron, NaiveBayes, NaiveBayesMultinomial, NaiveBayesMultinomialText, NaiveBayesMultinomialUpdateable, NaiveBayesUpdateable, PART, PKIDiscretize, RandomCommittee, RandomForest, RandomSubSpace, RandomTree, REPTree, Rule, SGDText, SimpleKMeans, SimpleLinearRegression, SimpleLogistic, SMO, SMOreg, WeightedInstancesHandlerWrapper, ZeroR

      public interface WeightedInstancesHandler

  Interface to something that makes use of the information provided by instance weights.
  Version:
    $Revision: 8034 $
  Author:
    Eibe Frank (eibe@cs.waikato.ac.nz)