rdr.mulan
Interface MultiLabelClassifier

All Known Implementing Classes:

BinaryRelevanceClassifier, FlattenTrueLabelsClassifier, IncludeLabelsClassifier, MultiLabelClassifierBase, TransformationBasedMultiLabelClassifier

public interface MultiLabelClassifier

Common interface for multi-label classifiers.

Author:

Eleftherios Spyromitros-Xioufis ( espyromi@csd.auth.gr ), Jozef Vilcek

Method Summary

void	buildClassifier(weka.core.Instances instances) Builds the classifier.
int	getNumLabels() Returns a number of labels the classifier is configured for.
Prediction	predict(weka.core.Instance instance) Computes the prediction of labels for a specified input Instance.

Method Detail

getNumLabels

int getNumLabels()

Returns a number of labels the classifier is configured for. The label attributes are assumed to be the last ones in Instances training data.

Returns:

the number of labels

predict

Prediction predict(weka.core.Instance instance)
                   throws java.lang.Exception

Computes the prediction of labels for a specified input Instance.

Parameters:

instance - the input instance for which the prediction is made

Returns:

the prediction

Throws:

java.lang.Exception - if prediction was not successful

buildClassifier

void buildClassifier(weka.core.Instances instances)
                     throws java.lang.Exception

Builds the classifier.

Parameters:

instances - set of training data, upon which the classifier should be build

Throws:

java.lang.Exception - if classifier was not created successfully