Class InfoGainSplitCriterionMultilabel

  • All Implemented Interfaces:
    Configurable, Serializable, SplitCriterion, MOAObject, OptionHandler

    public class InfoGainSplitCriterionMultilabel
    extends InfoGainSplitCriterion
    Class for computing splitting criteria using information gain with respect to distributions of class values for Multilabel data. The split criterion is used as a parameter on decision trees and decision stumps.
    Version:
    $Revision: 1 $
    Author:
    Richard Kirkby (rkirkby@cs.waikato.ac.nz), Jesse Read (jesse@tsc.uc3m.es)
    See Also:
    Serialized Form
    • Constructor Detail

      • InfoGainSplitCriterionMultilabel

        public InfoGainSplitCriterionMultilabel()
    • Method Detail

      • computeEntropy

        public static double computeEntropy​(double[] dist)