weka.experiment
Interface SemiSupSplitEvaluator

All Known Implementing Classes:
EnsembleClassifierSplitEvaluator, SemiSupClassifierSplitEvaluator

public interface SemiSupSplitEvaluator

Interface to a split evaluator that can exploit unlabeled data.


Method Summary
 java.lang.Object[] getResult(Instances train, Instances unlabeled, Instances test)
          Gets the results for the supplied train and test datasets.
 

Method Detail

getResult

public java.lang.Object[] getResult(Instances train,
                                    Instances unlabeled,
                                    Instances test)
                             throws java.lang.Exception
Gets the results for the supplied train and test datasets.

Parameters:
train - the training Instances.
unlabeled - the unlabeled training Instances.
test - the testing Instances.
Returns:
the results stored in an array. The objects stored in the array may be Strings, Doubles, or null (for the missing value).
Throws:
java.lang.Exception - if a problem occurs while getting the results