weka.core
Interface WeightedInstancesHandler

All Known Implementing Classes:

AdaBoostM1, AdditiveRegression, AttributeSelectedClassifier, Bagging, BayesNet, BayesNetGenerator, BIFReader, DecisionStump, DecisionTable, Discretize, Discretize, EditableBayesNet, EM, GaussianProcesses, IBk, InputMappedClassifier, J48, JRip, LinearRegression, LMTNode, Logistic, LogisticBase, LogitBoost, LWL, MakeDensityBasedClusterer, MultilayerPerceptron, NaiveBayes, NaiveBayesMultinomial, NaiveBayesMultinomialText, NaiveBayesMultinomialUpdateable, NaiveBayesUpdateable, PART, PKIDiscretize, RandomCommittee, RandomForest, RandomSubSpace, RandomTree, REPTree, Rule, SGDText, SimpleKMeans, SimpleLinearRegression, SimpleLogistic, SMO, SMOreg, 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)