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)