if (!isValid()) {
throw new IllegalArgumentException("trainParams are not valid!");
}
HashSumEventStream hses = new HashSumEventStream(events);
DataIndexer indexer = getDataIndexer(events);
MaxentModel model = doTrain(indexer);
addToReport("Training-Eventhash", hses.calculateHashSum().toString(16));
addToReport(AbstractTrainer.TRAINER_TYPE_PARAM, EventTrainer.EVENT_VALUE);
return model;
}