public static void main(String args[]) { ProblemTransformationMethod.evaluation(new PSt(), args); }
/** * Description to display in the GUI. * * @return the description */ @Override public String globalInfo() { return "Pruned Sets with a a threshold so as to be able to predict sets not seen in the training set." + "For more information see:\n" + getTechnicalInformation().toString(); }
PSt Classifier = new PSt(); Classifier.buildClassifier(data); double[] confidences = Classifier.distributionForInstance(data.get(i)); int argmax = -1; double max = -1;
Instances test = randData.testCV(folds, n); PSt pst = new PSt(); pst.buildClassifier(train); float ave_p = 0; float ave_r = 0; double[] confidences = pst.distributionForInstance(ins); int argmax = -1; double max = -1;
public static void main(String args[]) { ProblemTransformationMethod.evaluation(new PSt(), args); }
/** * Description to display in the GUI. * * @return the description */ @Override public String globalInfo() { return "Pruned Sets with a a threshold so as to be able to predict sets not seen in the training set." + "For more information see:\n" + getTechnicalInformation().toString(); }
PSt Classifier = new PSt(); FilteredClassifier fc = new FilteredClassifier(); fc.setFilter(rm);