Package opennlp.tools.ml.model

Examples of opennlp.tools.ml.model.AbstractModel

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   * This particular example would of course be useful when you generally want
   * to create models which take up less space (.bin.gz), but want to be able to
   * inspect a few of them as plain text files.
   */
  public static void main(String[] args) throws IOException {
    AbstractModel m = new SuffixSensitiveGISModelReader(new File(args[0]))
        .getModel();
    new SuffixSensitiveGISModelWriter(m, new File(args[1])).persist();
  }
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    String languageCode = args[ai++];
    String packageName = args[ai++];
    String modelName = args[ai];

    AbstractModel model = new GenericModelReader(new File(modelName)).getModel();
    SentenceModel packageModel = new SentenceModel(languageCode, model,
        useTokenEnd, abbreviations, (char[]) null);
    packageModel.serialize(new FileOutputStream(packageName));
  }
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      modelWriter.persist();
      modelWriter.close();
     
      GenericModelReader modelReader = new GenericModelReader(new BinaryFileDataReader(
          new ByteArrayInputStream(modelBytes.toByteArray())));
      AbstractModel readModel = modelReader.getModel();
      QNModel deserModel = (QNModel) readModel;
     
      assertTrue(trainedModel.equals(deserModel));
     
      String[] features2Classify = new String[] {
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public class QNPrepAttachTest {

  @Test
  public void testQNOnPrepAttachData() throws IOException {
    AbstractModel model =
        new QNTrainer(true).trainModel(
            100, new TwoPassDataIndexer(createTrainingStream(), 1));

    testModel(model, 0.8155484030700668);
  }
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public class MaxentPrepAttachTest {

  @Test
  public void testMaxentOnPrepAttachData() throws IOException {
    AbstractModel model =
        new GISTrainer(true).trainModel(100,
        new TwoPassDataIndexer(createTrainingStream(), 1), 1);

    testModel(model, 0.7997028967566229);
  }
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    testModel(model, 0.7997028967566229);
  }

  @Test
  public void testMaxentOnPrepAttachData2Threads() throws IOException {
    AbstractModel model =
        new GISTrainer(true).trainModel(100,
            new TwoPassDataIndexer(createTrainingStream(), 1),
            new UniformPrior(), 1, 2);

    testModel(model, 0.7997028967566229);
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Related Classes of opennlp.tools.ml.model.AbstractModel

  • opennlp.tools.chunker.ChunkerModel
  • opennlp.tools.cmdline.parser.BuildModelUpdaterTool
  • opennlp.tools.cmdline.parser.CheckModelUpdaterTool
  • opennlp.tools.ml.maxent.GIS
  • opennlp.tools.ml.maxent.GISModel
  • opennlp.tools.ml.maxent.io.SuffixSensitiveGISModelReader
  • opennlp.tools.ml.maxent.MaxentPrepAttachTest
  • opennlp.tools.ml.maxent.quasinewton.QNPrepAttachTest
  • opennlp.tools.ml.maxent.quasinewton.QNTrainerTest
  • opennlp.tools.ml.perceptron.PerceptronModel
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