public static void main(String args[]) { ProblemTransformationMethod.evaluation(new RT(), args); } }
@Override public double[] distributionForInstance(Instance x) throws Exception { return m_Classifier.distributionForInstance(convertInstance(x)); }
Instance testquestion = data.get(i); data.remove(i); RT classifier = new RT(); classifier.buildClassifier(data); double[] confidences = classifier.distributionForInstance(testquestion);
@Override public void buildClassifier(Instances D) throws Exception { testCapabilities(D); if(getDebug()) System.out.println("Building classifier "+m_Classifier.getClass().getName()+" on "+D_.numInstances()+" instances (originally "+D.numInstances()+")"); m_Classifier.buildClassifier(D_);
RT Classifier = new RT(); Classifier.buildClassifier(train); double[] confidences = Classifier.distributionForInstance(ins); int argmax = -1; double max = -1;
@Override public void buildClassifier(Instances D) throws Exception { testCapabilities(D); if(getDebug()) System.out.println("Building classifier "+m_Classifier.getClass().getName()+" on "+D_.numInstances()+" instances (originally "+D.numInstances()+")"); m_Classifier.buildClassifier(D_);
public static void main(String args[]) { ProblemTransformationMethod.evaluation(new RT(), args); } }
@Override public double[] distributionForInstance(Instance x) throws Exception { return m_Classifier.distributionForInstance(convertInstance(x)); }