List of usage examples for weka.core Instance copy
public Instance copy(double[] values);
From source file:cn.ict.zyq.bestConf.bestConf.BestConf.java
License:Open Source License
public static void testCOMT2() throws Exception { BestConf bestconf = new BestConf(); Instances trainingSet = DataIOFile.loadDataFromArffFile("data/trainingBestConf0.arff"); trainingSet.setClassIndex(trainingSet.numAttributes() - 1); Instances samplePoints = LHSInitializer.getMultiDimContinuous(bestconf.getAttributes(), InitialSampleSetSize, false); samplePoints.insertAttributeAt(trainingSet.classAttribute(), samplePoints.numAttributes()); samplePoints.setClassIndex(samplePoints.numAttributes() - 1); COMT2 comt = new COMT2(samplePoints, COMT2Iteration); comt.buildClassifier(trainingSet);// w w w.ja v a2 s. c o m Evaluation eval = new Evaluation(trainingSet); eval.evaluateModel(comt, trainingSet); System.err.println(eval.toSummaryString()); Instance best = comt.getInstanceWithPossibleMaxY(samplePoints.firstInstance()); Instances bestInstances = new Instances(trainingSet, 2); bestInstances.add(best); DataIOFile.saveDataToXrffFile("data/trainingBestConf_COMT2.arff", bestInstances); //now we output the training set with the class value updated as the predicted value Instances output = new Instances(trainingSet, trainingSet.numInstances()); Enumeration<Instance> enu = trainingSet.enumerateInstances(); while (enu.hasMoreElements()) { Instance ins = enu.nextElement(); double[] values = ins.toDoubleArray(); values[values.length - 1] = comt.classifyInstance(ins); output.add(ins.copy(values)); } DataIOFile.saveDataToXrffFile("data/trainingBestConf0_predict.xrff", output); }