How to use

opennlp.tools.ml.perceptron.BinaryPerceptronModelWriter

constructor

private void init(AbstractModel model, DataOutputStream dos) {
 if (model.getModelType() == ModelType.Perceptron) {
  delegateWriter = new BinaryPerceptronModelWriter(model, dos);
 } else if (model.getModelType() == ModelType.Maxent) {
  delegateWriter = new BinaryGISModelWriter(model, dos);
 } else if (model.getModelType() == ModelType.MaxentQn) {
  delegateWriter = new BinaryQNModelWriter(model, dos);
 }
 if (model.getModelType() == ModelType.NaiveBayes) {
  delegateWriter = new BinaryNaiveBayesModelWriter(model, dos);
 }
}

@Test
public void testModelSerialization() throws IOException {
 TrainingParameters trainParams = new TrainingParameters();
 trainParams.put(AbstractTrainer.ALGORITHM_PARAM, PerceptronTrainer.PERCEPTRON_VALUE);
 trainParams.put(AbstractTrainer.CUTOFF_PARAM, 1);
 trainParams.put("UseSkippedAveraging", true);
 EventTrainer trainer = TrainerFactory.getEventTrainer(trainParams, null);
 AbstractModel model = (AbstractModel) trainer.train(PrepAttachDataUtil.createTrainingStream());
 PrepAttachDataUtil.testModel(model, 0.773706362961129);
 // serialize and load model, then check if it still works as expected
 ByteArrayOutputStream modelBytes = new ByteArrayOutputStream();
 BinaryPerceptronModelWriter writer = new BinaryPerceptronModelWriter(model,
   new DataOutputStream(modelBytes));
 writer.persist();
 writer.close();
 MaxentModel restoredModel = new BinaryPerceptronModelReader(
   new DataInputStream(new ByteArrayInputStream(modelBytes.toByteArray()))).getModel();
 PrepAttachDataUtil.testModel(restoredModel, 0.773706362961129);
}

private void init(AbstractModel model, EncryptedDataOutputStream dos) {
 if (model.getModelType() == ModelType.Perceptron) {
  delegateWriter = new BinaryPerceptronModelWriter(model, dos);
 } else if (model.getModelType() == ModelType.Maxent) {
  delegateWriter = new BinaryGISModelWriter(model, dos);
 } else if (model.getModelType() == ModelType.MaxentQn) {
  delegateWriter = new BinaryQNModelWriter(model, dos);
 }
 if (model.getModelType() == ModelType.NaiveBayes) {
  delegateWriter = new BinaryNaiveBayesModelWriter(model, dos);
 }
}

private void init(AbstractModel model, DataOutputStream dos) {
 if (model.getModelType() == ModelType.Perceptron) {
  delegateWriter = new BinaryPerceptronModelWriter(model, dos);
 } else if (model.getModelType() == ModelType.Maxent) {
  delegateWriter = new BinaryGISModelWriter(model, dos);
 } else if (model.getModelType() == ModelType.MaxentQn) {
  delegateWriter = new BinaryQNModelWriter(model, dos);
 }
 if (model.getModelType() == ModelType.NaiveBayes) {
  delegateWriter = new BinaryNaiveBayesModelWriter(model, dos);
 }
}