Examples of fS_CS()


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

    float[] percents_cs=new float[]{1.0f,0.9f,0.8f,0.7f,0.5f,0.3f,0.2f,0.1f};
    int[] counts_cs=new int[10];
    for(int test=0;test<percents_cs.length;test++){
      System.out.println("Testing Bayes"+percents_cs[test]+"...");
      if(test!=0)
        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);
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Examples of org.fnlp.ml.feature.FeatureSelect.fS_CS()

    System.out.print("Loading model...\n");
    knn =KNNClassifier.loadFrom(knnModelFile);
    System.out.print("..Loading model compelte!\n");
    System.out.println("Testing Knn...\n");
    int count=0;
    fs.fS_CS(tf, 0.1f);
    knn.setFs(fs);
    for(int i=0;i<testset.size();i++){
      Instance data = testset.getInstance(i);
      Integer gold = (Integer) data.getTarget();
      Predict<String> pres=(Predict<String>) knn.classify(data, Type.STRING, 3);
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Examples of org.fnlp.ml.feature.FeatureSelect.fS_CS()

    int[] counts_cs=new int[10];
    for(int test=0;test<percents_cs.length;test++){
      long time_st=System.currentTimeMillis();
      System.out.println("Testing Bayes"+percents_cs[test]+"...");
      if(test!=0){
        fs.fS_CS(tf, percents_cs[test]);
        knn.setFs(fs);
      }
      count=0;
      for(int i=0;i<testset.size();i++){
        Instance data = testset.getInstance(i);
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