Examples of noFeatureSelection()

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

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      }
      counts_cs[test]=count;
      System.out.println("Bayes Precision("+percents_cs[test]+"):"
      +((float)count/testset.size())+"("+count+"/"+testset.size()+")");
    }
    bayes.noFeatureSelection();
    float[] percents_csmax=new float[]{1.0f,0.9f,0.8f,0.7f,0.5f,0.3f,0.2f,0.1f};
    int[] counts_csmax=new int[10];
    for(int test=0;test<percents_csmax.length;test++){
      System.out.println("Testing Bayes"+percents_csmax[test]+"...");
      if(test!=0)
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Examples of org.fnlp.ml.classifier.bayes.BayesClassifier.noFeatureSelection()

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      }
      counts_csmax[test]=count;
      System.out.println("Bayes Precision("+percents_csmax[test]+"):"
      +((float)count/testset.size())+"("+count+"/"+testset.size()+")");
    }
    bayes.noFeatureSelection();
    float[] percents_ig=new float[]{1.0f,0.9f,0.8f,0.7f,0.5f,0.3f,0.2f,0.1f};
    int[] counts_ig=new int[10];
    for(int test=0;test<percents_ig.length;test++){
      System.out.println("Testing Bayes"+percents_ig[test]+"...");
      if(test!=0)
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Examples of org.fnlp.ml.classifier.knn.KNNClassifier.noFeatureSelection()

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      }
    }
    int knnCount=count;
    System.out.println("..Testing Knn Complete");
    System.out.println("Knn Precision:"+((float)knnCount/testset.size())+"("+knnCount+"/"+testset.size()+")");
    knn.noFeatureSelection();
    int flag=0;
    long time_sum=0,time_times=0;
    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++){
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Examples of org.fnlp.ml.classifier.knn.KNNClassifier.noFeatureSelection()

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      time_times++;
      System.out.println("Knn Precision("+percents_cs[test]+"):"
      +((float)count/testset.size())+"("+count+"/"+testset.size()+")"+"  "+(time_ed-time_st)+"ms");
    }
   
    knn.noFeatureSelection();
    float[] percents_csmax=new float[]{1.0f,0.9f,0.8f,0.7f,0.5f,0.3f,0.2f,0.1f};
    int[] counts_csmax=new int[10];
    for(int test=0;test<percents_csmax.length;test++){
      long time_st=System.currentTimeMillis();
      System.out.println("Testing Bayes"+percents_csmax[test]+"...");
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Examples of org.fnlp.ml.classifier.knn.KNNClassifier.noFeatureSelection()

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      time_sum+=time_ed-time_st;
      time_times++;
      System.out.println("Knn Precision("+percents_csmax[test]+"):"
      +((float)count/testset.size())+"("+count+"/"+testset.size()+")"+"  "+(time_ed-time_st)+"ms");
    }
    knn.noFeatureSelection();
    float[] percents_ig=new float[]{1.0f,0.9f,0.8f,0.7f,0.5f,0.3f,0.2f,0.1f};
    int[] counts_ig=new int[10];
    for(int test=0;test<percents_ig.length;test++){
      long time_st=System.currentTimeMillis();
      System.out.println("Testing Bayes"+percents_ig[test]+"...");
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