List of averageTokenAccuracy() Examples

Examples of averageTokenAccuracy()

Examples of cc.mallet.fst.CRF.averageTokenAccuracy()

      // parameters
      // purturbed toward
      // the gradient
    } else {
      System.out.println("Training Accuracy before training = "
          + crf.averageTokenAccuracy(lists[0]));
      System.out.println("Testing  Accuracy before training = "
          + crf.averageTokenAccuracy(lists[1]));
      System.out.println("Training...");
      crft.trainIncremental(lists[0]);
      System.out.println("Training Accuracy after training = "

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Examples of cc.mallet.fst.CRF.averageTokenAccuracy()

      // the gradient
    } else {
      System.out.println("Training Accuracy before training = "
          + crf.averageTokenAccuracy(lists[0]));
      System.out.println("Testing  Accuracy before training = "
          + crf.averageTokenAccuracy(lists[1]));
      System.out.println("Training...");
      crft.trainIncremental(lists[0]);
      System.out.println("Training Accuracy after training = "
          + crf.averageTokenAccuracy(lists[0]));
      System.out.println("Testing  Accuracy after training = "

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Examples of cc.mallet.fst.CRF.averageTokenAccuracy()

      System.out.println("Testing  Accuracy before training = "
          + crf.averageTokenAccuracy(lists[1]));
      System.out.println("Training...");
      crft.trainIncremental(lists[0]);
      System.out.println("Training Accuracy after training = "
          + crf.averageTokenAccuracy(lists[0]));
      System.out.println("Testing  Accuracy after training = "
          + crf.averageTokenAccuracy(lists[1]));
      System.out.println("Training results:");
      for (int i = 0; i < lists[0].size(); i++) {
        Instance inst = lists[0].get(i);

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Examples of cc.mallet.fst.CRF.averageTokenAccuracy()

      System.out.println("Training...");
      crft.trainIncremental(lists[0]);
      System.out.println("Training Accuracy after training = "
          + crf.averageTokenAccuracy(lists[0]));
      System.out.println("Testing  Accuracy after training = "
          + crf.averageTokenAccuracy(lists[1]));
      System.out.println("Training results:");
      for (int i = 0; i < lists[0].size(); i++) {
        Instance inst = lists[0].get(i);
        Sequence input = (Sequence) inst.getData();
        Sequence output = crf.transduce(input);

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Examples of cc.mallet.fst.CRF.averageTokenAccuracy()

      Optimizable.ByGradientValue minable = crft
          .getOptimizableCRF(lists[0]);
      TestOptimizable.testValueAndGradient(minable);
    } else {
      System.out.println("Training Accuracy before training = "
          + crf.averageTokenAccuracy(lists[0]));
      System.out.println("Testing  Accuracy before training = "
          + crf.averageTokenAccuracy(lists[1]));
      savedCRF = crf;
      System.out.println("Training serialized crf.");
      crft.trainIncremental(lists[0]);

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Examples of cc.mallet.fst.CRF.averageTokenAccuracy()

      TestOptimizable.testValueAndGradient(minable);
    } else {
      System.out.println("Training Accuracy before training = "
          + crf.averageTokenAccuracy(lists[0]));
      System.out.println("Testing  Accuracy before training = "
          + crf.averageTokenAccuracy(lists[1]));
      savedCRF = crf;
      System.out.println("Training serialized crf.");
      crft.trainIncremental(lists[0]);
      double preTrainAcc = crf.averageTokenAccuracy(lists[0]);
      double preTestAcc = crf.averageTokenAccuracy(lists[1]);

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Examples of cc.mallet.fst.CRF.averageTokenAccuracy()

      System.out.println("Testing  Accuracy before training = "
          + crf.averageTokenAccuracy(lists[1]));
      savedCRF = crf;
      System.out.println("Training serialized crf.");
      crft.trainIncremental(lists[0]);
      double preTrainAcc = crf.averageTokenAccuracy(lists[0]);
      double preTestAcc = crf.averageTokenAccuracy(lists[1]);
      System.out.println("Training Accuracy after training = "
          + preTrainAcc);
      System.out.println("Testing  Accuracy after training = "
          + preTestAcc);

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Examples of cc.mallet.fst.CRF.averageTokenAccuracy()

          + crf.averageTokenAccuracy(lists[1]));
      savedCRF = crf;
      System.out.println("Training serialized crf.");
      crft.trainIncremental(lists[0]);
      double preTrainAcc = crf.averageTokenAccuracy(lists[0]);
      double preTestAcc = crf.averageTokenAccuracy(lists[1]);
      System.out.println("Training Accuracy after training = "
          + preTrainAcc);
      System.out.println("Testing  Accuracy after training = "
          + preTestAcc);
      try {

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Examples of cc.mallet.fst.CRF.averageTokenAccuracy()

                  + cnfe);
        }
        System.err.println("Read in CRF.");
        crf = savedCRF;


        double postTrainAcc = crf.averageTokenAccuracy(lists[0]);
        double postTestAcc = crf.averageTokenAccuracy(lists[1]);
        System.out.println("Training Accuracy after saving = "
            + postTrainAcc);
        System.out.println("Testing  Accuracy after saving = "
            + postTestAcc);

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Examples of cc.mallet.fst.CRF.averageTokenAccuracy()

        }
        System.err.println("Read in CRF.");
        crf = savedCRF;


        double postTrainAcc = crf.averageTokenAccuracy(lists[0]);
        double postTestAcc = crf.averageTokenAccuracy(lists[1]);
        System.out.println("Training Accuracy after saving = "
            + postTrainAcc);
        System.out.println("Testing  Accuracy after saving = "
            + postTestAcc);

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