Package opennlp.model

Examples of opennlp.model.GenericModelReader

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      modelFileName = args[ai++];
      dataFileName = args[ai++];

      ModelApplier predictor = null;
      try {
        MaxentModel m = new GenericModelReader(new File(modelFileName)).getModel();
        predictor = new ModelApplier(m);
      } catch (Exception e) {
        e.printStackTrace();
        System.exit(0);
      }
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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);
    packageModel.serialize(new FileOutputStream(packageName));
  }
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      dataFileName = "";
      modelFileName = "weatherModel.txt";
  }
  Predict predictor = null;
  try {
      MaxentModel m = new GenericModelReader(new File(modelFileName)).getModel();
    predictor = new Predict(m);
  } catch (Exception e) {
      e.printStackTrace();
      System.exit(0);
  }
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    String lang = args[1];
    String packageName = args[2];
    String modelName = args[3];

    AbstractModel chunkerModel = new GenericModelReader(
        new BinaryFileDataReader(new FileInputStream(modelName))).getModel();

    ChunkerModel packageModel = new ChunkerModel(lang, chunkerModel);
    packageModel.serialize(new FileOutputStream(packageName));
  }
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public class GenericModelSerializer implements ArtifactSerializer<AbstractModel> {

  public AbstractModel create(InputStream in) throws IOException,
      InvalidFormatException {
    return new GenericModelReader(new BinaryFileDataReader(in)).getModel();
  }
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    String lang = args[1];
    String packageName = args[2];
    String modelName = args[3];

    AbstractModel chunkerModel = new GenericModelReader(
        new BinaryFileDataReader(new FileInputStream(modelName))).getModel();

    ChunkerModel packageModel = new ChunkerModel(lang, chunkerModel);
    packageModel.serialize(new FileOutputStream(packageName));
  }
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public class GenericModelSerializer implements ArtifactSerializer<AbstractModel> {

  public AbstractModel create(InputStream in) throws IOException,
      InvalidFormatException {
    return new GenericModelReader(new BinaryFileDataReader(in)).getModel();
  }
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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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      ByteArrayOutputStream modelBytes = new ByteArrayOutputStream();
      GenericModelWriter modelWriter = new GenericModelWriter(trainedModel, new DataOutputStream(modelBytes));
      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[] {"feature2","feature3", "feature3", "feature3","feature3", "feature3", "feature3","feature3", "feature3", "feature3","feature3", "feature3"};
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    return new ParserModel(getLanguage(), getBuildModel(), getCheckModel(), getAttachModel(),
        getParserTaggerModel(), chunkModel, getHeadRules(), getParserType());
  }
 
  private static AbstractModel readModel(String fileName) throws FileNotFoundException, IOException {
    return new GenericModelReader(new BinaryFileDataReader(new FileInputStream(fileName))).
        getModel();
  }
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Related Classes of opennlp.model.GenericModelReader

  • opennlp.maxent.io.GISModelReader
  • opennlp.maxent.io.QNModelReader
  • opennlp.maxent.ModelApplier
  • opennlp.maxent.quasinewton.QNTrainerTest
  • opennlp.perceptron.PerceptronModelReader
  • opennlp.tools.chunker.ChunkerModel
  • opennlp.tools.parser.ParserModel
  • opennlp.tools.sentdetect.SentenceModel
  • opennlp.tools.util.model.GenericModelSerializer
  • Predict
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