Examples of opennlp.tools.ml.model.Context

opennlp.tools.ml.model.Context
Class which associates a real valued parameter or expected value with a particular contextual predicate or feature. This is used to store maxent model parameters as well as model and empirical expected values.

    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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      for (int oi = 0; oi < nOutcomes; oi++) {
        double val = parameters[oi * nPredLabels + ci];
        outcomePattern.add(oi);
        alpha.add(val);
      }
      params[ci] = new Context(ArrayMath.toIntArray(outcomePattern), 
          ArrayMath.toDoubleArray(alpha));
    }
    
    return new QNModel(params, predLabels, outcomeNames);
  }

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Related Classes of opennlp.tools.ml.model.Context

opennlp.tools.ml.maxent.GISModel

opennlp.tools.ml.maxent.io.OldFormatGISModelReader

opennlp.tools.ml.maxent.quasinewton.QNTrainer

opennlp.tools.ml.perceptron.PerceptronModel

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