/**
* Train the classifier with this instance.
*
* @param fv
* @param clazz
*/
public void train(FeatureVector<E> fv, E clazz) {
if (!trained.contains(fv.getId())) {
LabeledFeatureVector<E> lfv = new LabeledFeatureVector<E>(clazz, fv.getId());
lfv.putAll(fv);
lfv.setQid(fv.getQid());
lfv.setRank(fv.getRank());
train.add(lfv);
trained.add(fv.getId());
}
}
/**
* Get the training data.
*
* @return
*/
public TrainRelation<E> getTrainingData(E clazz) {
TrainRelation<E> subRelation =
new TrainRelation<E>("sub-relation", (Metadata) train.getMetadata().clone());
for (LabeledFeatureVector<E> lfv : train) {
if (lfv.getLabel().equals(clazz)) {
subRelation.add(lfv);
}
}
return subRelation;
}