Package weka.core

# Interface WeightedInstancesHandler

All Known Implementing Classes:
  `AdaBoostM1`, `AdditiveRegression`, `ADTree`, `AODE`, `AODEsr`, `AttributeSelectedClassifier`, `Bagging`, `BayesNet`, `BayesNetGenerator`, `BIFReader`, `ComplementNaiveBayes`, `ConjunctiveRule`, `DecisionStump`, `DecisionTable`, `Discretize`, `Discretize`, `DMNBtext`, `DTNB`, `EditableBayesNet`, `EM`, `FTInnerNode`, `FTLeavesNode`, `FTNode`, `FTtree`, `IBk`, `IsotonicRegression`, `J48`, `J48graft`, `JRip`, `JRip.Antd`, `JRip.NominalAntd`, `JRip.NumericAntd`, `JRip.RipperRule`, `LinearRegression`, `LMTNode`, `Logistic`, `LogisticBase`, `LogitBoost`, `LWL`, `MakeDensityBasedClusterer`, `MIOptimalBall`, `MISMO`, `MultiBoostAB`, `MultilayerPerceptron`, `NaiveBayes`, `NaiveBayesMultinomial`, `NaiveBayesMultinomialUpdateable`, `NaiveBayesUpdateable`, `NBTree`, `PaceRegression`, `PART`, `PKIDiscretize`, `RandomCommittee`, `RandomForest`, `RandomSubSpace`, `RandomTree`, `REPTree`, `Ridor`, `RotationForest`, `Rule`, `SimpleKMeans`, `SimpleLinearRegression`, `SimpleLogistic`, `SMO`, `SMOreg`, `VFI`, `ZeroR`

public interface WeightedInstancesHandler
Interface to something that makes use of the information provided by instance weights.

Version:
  $Revision: 1.5 $
Author:
  Eibe Frank (eibe@cs.waikato.ac.nz)