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)