本文整理匯總了Java中weka.core.Instance.toDoubleArray方法的典型用法代碼示例。如果您正苦於以下問題：Java Instance.toDoubleArray方法的具體用法？Java Instance.toDoubleArray怎麽用？Java Instance.toDoubleArray使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類weka.core.Instance的用法示例。
在下文中一共展示了Instance.toDoubleArray方法的1個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Java代碼示例。
示例1: testCOMT2
import weka.core.Instance; //導入方法依賴的package包/類
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);
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);
}