evaluate Mallet CRF

gistfile1.java

cc.mallet.types.InstanceList.CrossValidationIterator crossValidationIt = trainingInstanceList.crossValidationIterator(folds, new Random().nextInt());
while (crossValidationIt.hasNext()) {

    InstanceList[] il = crossValidationIt.nextSplit();
    CRF crf = new CRF(trainingInstanceList.getPipe(), null);
    CRFTrainerByThreadedLabelLikelihood trainer = new CRFTrainerByThreadedLabelLikelihood(crf, threads);
    // CRFTrainerByLabelLikelihood trainer = new CRFTrainerByLabelLikelihood(crf);

    MultiSegmentationEvaluator eval = new MyMultiSegmentationEvaluator(//
       new InstanceList[] { testingSet }, new String[] { "TTesting" }, tags, continueTags);
    trainer.addEvaluator(eval);
    trainer.train(trainingSet);
}