Examples of opennlp.tools.ml.model.MaxentModel.eval()

Class opennlp.tools.ml.model.MaxentModel

Examples of opennlp.tools.ml.model.MaxentModel.eval()

opennlp.tools.ml.model.MaxentModel.eval()
Evaluates a context. @param context A list of String names of the contextual predicateswhich are to be evaluated together. @return an array of the probabilities for each of the differentoutcomes, all of which sum to 1.


    if (modelPackage.getPosModel() != null) {


      MaxentModel posModel = modelPackage.getPosModel();


      double[] probs = posModel.eval(contextGen.getContext(index,
          words.toArray(new String[words.size()]),
          tags.toArray(new String[tags.size()]),null));


      String[] orderedTags = new String[probs.length];
      for (int i = 0; i < probs.length; i++) {

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    MaxentModel smallModel = GIS.trainModel(100,
        new OnePassRealValueDataIndexer(smallEventStream, 0), false);
    String[] contexts = smallTest.split(" ");
    float[] values = RealValueFileEventStream.parseContexts(contexts);
    double[] smallResults = smallModel.eval(contexts, values);


    String smallResultString = smallModel.getAllOutcomes(smallResults);
    System.out.println("smallResults: " + smallResultString);


    StringReader largeReader = new StringReader(largeValues);

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    MaxentModel largeModel = GIS.trainModel(100,
        new OnePassRealValueDataIndexer(largeEventStream, 0), false);
    contexts = largeTest.split(" ");
    values = RealValueFileEventStream.parseContexts(contexts);
    double[] largeResults = largeModel.eval(contexts, values);


    String largeResultString = smallModel.getAllOutcomes(largeResults);
    System.out.println("largeResults: " + largeResultString);


    assertEquals(smallResults.length, largeResults.length);

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