/**
* @deprecated Use {@link TrainerFactory#getSequenceTrainer(Map, Map)} to get an {@link
* EventModelSequenceTrainer} instead.
*/
public static MaxentModel train(
SequenceStream events, Map<String, String> trainParams, Map<String, String> reportMap)
throws IOException {
if (!TrainerFactory.isSupportSequence(trainParams)) {
throw new IllegalArgumentException("EventTrain is not supported");
}
EventModelSequenceTrainer trainer =
TrainerFactory.getEventModelSequenceTrainer(trainParams, reportMap);
return trainer.train(events);
}
public static POSModel train(
String languageCode,
ObjectStream<POSSample> samples,
TrainingParameters trainParams,
POSTaggerFactory posFactory)
throws IOException {
String beamSizeString = trainParams.getSettings().get(BeamSearch.BEAM_SIZE_PARAMETER);
int beamSize = POSTaggerME.DEFAULT_BEAM_SIZE;
if (beamSizeString != null) {
beamSize = Integer.parseInt(beamSizeString);
}
POSContextGenerator contextGenerator = posFactory.getPOSContextGenerator();
Map<String, String> manifestInfoEntries = new HashMap<String, String>();
TrainerType trainerType = TrainerFactory.getTrainerType(trainParams.getSettings());
MaxentModel posModel = null;
SequenceClassificationModel<String> seqPosModel = null;
if (TrainerType.EVENT_MODEL_TRAINER.equals(trainerType)) {
ObjectStream<Event> es = new POSSampleEventStream(samples, contextGenerator);
EventTrainer trainer =
TrainerFactory.getEventTrainer(trainParams.getSettings(), manifestInfoEntries);
posModel = trainer.train(es);
} else if (TrainerType.EVENT_MODEL_SEQUENCE_TRAINER.equals(trainerType)) {
POSSampleSequenceStream ss = new POSSampleSequenceStream(samples, contextGenerator);
EventModelSequenceTrainer trainer =
TrainerFactory.getEventModelSequenceTrainer(
trainParams.getSettings(), manifestInfoEntries);
posModel = trainer.train(ss);
} else if (TrainerType.SEQUENCE_TRAINER.equals(trainerType)) {
SequenceTrainer trainer =
TrainerFactory.getSequenceModelTrainer(trainParams.getSettings(), manifestInfoEntries);
// TODO: This will probably cause issue, since the feature generator uses the outcomes array
POSSampleSequenceStream ss = new POSSampleSequenceStream(samples, contextGenerator);
seqPosModel = trainer.train(ss);
} else {
throw new IllegalArgumentException("Trainer type is not supported: " + trainerType);
}
if (posModel != null) {
return new POSModel(languageCode, posModel, beamSize, manifestInfoEntries, posFactory);
} else {
return new POSModel(languageCode, seqPosModel, manifestInfoEntries, posFactory);
}
}