Package weka.classifiers.meta

Examples of weka.classifiers.meta.FilteredClassifier.buildClassifier()

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        // filtered classifier
        FilteredClassifier fc = new FilteredClassifier();
        fc.setFilter(rm);
        fc.setClassifier(j48);
        // train using stock_training_data.arff:
        fc.buildClassifier(training_data);
        // test using stock_testing_data.arff:
        for (int i = 0; i < testing_data.numInstances(); i++) {
          double pred = fc.classifyInstance(testing_data.instance(i));
          System.out.print("given value: " + testing_data.classAttribute().value((int)testing_data.instance(i).classValue()));
          System.out.println(". predicted value: " + testing_data.classAttribute().value((int) pred));
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        classifier_aset.add(cluster_attr);
        fc.setFilter(classifier_aset.createFilter(newData));
        fc.setClassifier(j48);
       
        // Bombs away!
        fc.buildClassifier(newData);
       
        return (fc);
    }
   
   
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            FilteredClassifier filteredClassifier = new FilteredClassifier();
            filteredClassifier.setFilter(removeIDFilter);
            filteredClassifier.setClassifier(classifier);
              
            // Build the classifier
            filteredClassifier.buildClassifier(train);
            
            // Evaluate
            eval.evaluateModel(classifier, test);
           
            // Add predictions
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          FilteredClassifier filteredClassifier = new FilteredClassifier();
          filteredClassifier.setFilter(removeIDFilter);
          filteredClassifier.setClassifier(classifier);
            
          // Build the classifier
          filteredClassifier.buildClassifier(train);
          
          // Evaluate
          eval.evaluateModel(filteredClassifier, test);
         
          // Add predictions
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            FilteredClassifier filteredClassifier = new FilteredClassifier();
            filteredClassifier.setFilter(removeIDFilter);
            filteredClassifier.setClassifier(classifier);
              
            // Build the classifier
            filteredClassifier.buildClassifier(train);
            
            // Evaluate
            eval.evaluateModel(classifier, test);
           
            // Add predictions
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        FilteredClassifier filteredClassifier = new FilteredClassifier();
        filteredClassifier.setFilter(removeIDFilter);
        filteredClassifier.setClassifier(classifier);
          
        // Build the classifier
        filteredClassifier.buildClassifier(train);
   
        // Prepare the output buffer
        AbstractOutput output = new PlainText();
        output.setBuffer(new StringBuffer());
        output.setHeader(test);
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          FilteredClassifier filteredClassifier = new FilteredClassifier();
          filteredClassifier.setFilter(removeIDFilter);
          filteredClassifier.setClassifier(classifier);
            
          // Build the classifier
          filteredClassifier.buildClassifier(train);
         
          // Evaluate
          eval.evaluateModel(filteredClassifier, test);
         
          // Add predictions
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  classifier.setClassifier(new ZeroR());
      }
      classifier.setFilter(filter);
     
      if (!m_classifiers.containsKey(node.m_left.getString() + "|" + node.m_right.getString())) {
  classifier.buildClassifier(data);
  m_classifiers.put(node.m_left.getString() + "|" + node.m_right.getString(), classifier);
      } else {
  classifier=(FilteredClassifier)m_classifiers.get(node.m_left.getString() + "|" +
               node.m_right.getString());
      }
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