Package opennlp.model

Examples of opennlp.model.Context

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    int[] activeOutcomes;
    double[] activeParameters;
    double value = 1;
    for (int ci = 0; ci < context.length; ci++) {
      if (context[ci] >= 0) {
        Context predParams = params[context[ci]];
        activeOutcomes = predParams.getOutcomes();
        activeParameters = predParams.getParameters();
        if (values != null) {
          value = values[ci];
        }
        for (int ai = 0; ai < activeOutcomes.length; ai++) {
          int oid = activeOutcomes[ai];
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    double[] activeParameters;
    int[] activeOutcomes;
    double value = 1;
    for (int ci = 0; ci < context.length; ci++) {
      if (context[ci] >= 0) {
        Context predParams = params[context[ci]];
        activeOutcomes = predParams.getOutcomes();
        activeParameters = predParams.getParameters();
        if (values != null) {
          value = values[ci];
        }
        for (int ai = 0; ai < activeOutcomes.length; ai++) {
          int oid = activeOutcomes[ai];
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      for (int j = 0; j < outcomePatterns[i][0]; j++) {
        double[] contextParameters = new double[outcomePatterns[i].length - 1];
        for (int k = 1; k < outcomePatterns[i].length; k++) {
          contextParameters[k - 1] = readDouble();
        }
        params[pid] = new Context(outcomePattern, contextParameters);
        pid++;
      }
    }
    return params;
  }
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  Context[] params = new Context[numContext];
 
  for (int i = 0; i < numContext; i++) {
    int[] outcomePattern = getIntArrayParams();
    double[] parameters = getDoubleArrayParams();
    params[i] = new Context(outcomePattern, parameters);
  }
  return params;
  }
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      int[] outcomePattern = outcomePatterns[ci];
      double[] alpha = new double[outcomePattern.length];
      for (int oi = 0; oi < outcomePattern.length; oi++) {
        alpha[oi] = parameters[ci + (outcomePattern[oi] * monitor.getPredLabels().length)];
      }
      params[ci] = new Context(outcomePattern, alpha);
    }
    this.evalParams = new EvalParameters(params, monitor.getOutcomeLabels().length);
    this.prior = new UniformPrior();
    this.modelType = ModelType.MaxentQn;
   
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    double[] activeParameters;
    int[] activeOutcomes;
    double value = 1;
    for (int ci = 0; ci < context.length; ci++) {
      if (context[ci] >= 0) {
        Context predParams = params[context[ci]];
        activeOutcomes = predParams.getOutcomes();
        activeParameters = predParams.getParameters();
        if (values != null) {
          value = values[ci];
        }
        for (int ai = 0; ai < activeOutcomes.length; ai++) {
          int oid = activeOutcomes[ai];
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Related Classes of opennlp.model.Context

  • opennlp.maxent.GISModel
  • opennlp.maxent.io.OldFormatGISModelReader
  • opennlp.maxent.io.QNModelReader
  • opennlp.maxent.quasinewton.QNModel
  • opennlp.perceptron.PerceptronModel
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