Examples of weka.classifiers.functions.SMO.buildClassifier()

weka.classifiers.functions.SMO.buildClassifier()
Method for building the classifier. Implements a one-against-one wrapper for multi-class problems. @param insts the set of training instances @throws Exception if the classifier can't be built successfully

      smo.setC(1.0); //same as default value for jkms
      RBFKernel rbf = new RBFKernel();
      rbf.setGamma(0.1); //same as default value for jkms
      smo.setKernel(rbf);
      
      smo.buildClassifier(train);
      
      
      Evaluation eval = new Evaluation(train);
      eval.evaluateModel(smo, test);

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        // smo.setNormalizeData(numAttrLeft < 40);
        smo.setFilterType(new SelectedTag(m_smoFilterType, SMO.TAGS_FILTER));
        smo.setEpsilon(m_smoPParameter);
        smo.setToleranceParameter(m_smoTParameter);
        smo.setC(m_smoCParameter);
        smo.buildClassifier(trainCopy);
                                
        // Find the attribute with maximum weight^2
        double[] weightsSparse = smo.sparseWeights()[0][1];
        int[] indicesSparse = smo.sparseIndices()[0][1];
        double[] weights = new double[trainCopy.numAttributes()];

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