Package org.fnlp.ml.classifier.bayes

Examples of org.fnlp.ml.classifier.bayes.BayesClassifier.classify()

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        bayes.fS_CS(percents_cs[test]);
      int count=0;
      for(int i=0;i<testset.size();i++){
        Instance data = testset.getInstance(i);
        Integer gold = (Integer) data.getTarget();
        Predict<String> pres=bayes.classify(data, Type.STRING, 3);
        String pred_label=pres.getLabel();
        String gold_label = bayes.getLabel(gold);
       
        if(pred_label.equals(gold_label)){
          count++;
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        bayes.fS_CS_Max(percents_csmax[test]);
      int count=0;
      for(int i=0;i<testset.size();i++){
        Instance data = testset.getInstance(i);
        Integer gold = (Integer) data.getTarget();
        Predict<String> pres=bayes.classify(data, Type.STRING, 3);
        String pred_label=pres.getLabel();
        String gold_label = bayes.getLabel(gold);
       
        if(pred_label.equals(gold_label)){
          count++;
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        bayes.fS_IG(percents_ig[test]);
      int count=0;
      for(int i=0;i<testset.size();i++){
        Instance data = testset.getInstance(i);
        Integer gold = (Integer) data.getTarget();
        Predict<String> pres=bayes.classify(data, Type.STRING, 3);
        String pred_label=pres.getLabel();
        String gold_label = bayes.getLabel(gold);
       
        if(pred_label.equals(gold_label)){
          count++;
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    System.out.println("Testing Bayes...");
    int count=0;
    for(int i=0;i<testset.size();i++){
      Instance data = testset.getInstance(i);
      Integer gold = (Integer) data.getTarget();
      Predict<String> pres=bayes.classify(data, Type.STRING, 3);
      String pred_label=pres.getLabel();
//      String pred_label = bayes.getStringLabel(data);
      String gold_label = bayes.getLabel(gold);
     
      if(pred_label.equals(gold_label)){
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    System.out.println("===================");
    for(int i=0;i<testset.size();i++){
      Instance data = testset.getInstance(i);
     
      Integer gold = (Integer) data.getTarget();
      Predict<String> pres=bayes.classify(data, Type.STRING, 3);
      String pred_label=pres.getLabel();
//      String pred_label = bayes.getStringLabel(data);
      String gold_label = bayes.getLabel(gold);
     
      if(pred_label.equals(gold_label))
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