public double[] ShapeClassification()
{
//Get single Test Instance from CSV file
CSVLoader loader = new CSVLoader();
loader.setSource(new java.io.File("GetOrientation.csv"));
Instances testinstances = loader.getDataSet();
testinstances.setClassIndex(testinstances.numAttributes() - 1);
Instance sekarang = testinstances.lastInstance();
//Get and build saved model
LibSVM modelShape = new LibSVM();
LibSVM modelOri = new LibSVM();
modelOri = (LibSVM)SerializationHelper.read("OrientationModel.model");
modelShape = (LibSVM)SerializationHelper.read("ShapeModel.model");
//Classify actual test instance
double valueShape = modelShape.classifyInstance(sekarang);
double valueOri = modelOri.classifyInstance(sekarang);
Console.WriteLine(valueOri);
Console.WriteLine(valueShape);
double[] value = new double[] { valueShape, valueOri };
return(value);
}
public double MarginClassification()
{
//Get single Test Instance from CSV file
CSVLoader loader = new CSVLoader();
loader.setSource(new java.io.File("GetMargin.csv"));
Instances testinstances = loader.getDataSet();
testinstances.setClassIndex(testinstances.numAttributes() - 1);
Instance sekarang = testinstances.lastInstance();
//Get and build saved model
LibSVM svm = new LibSVM();
svm = (LibSVM)SerializationHelper.read("MarginModel.model");
//Classify actual test instance
double clsValue = svm.classifyInstance(sekarang);
Console.WriteLine(clsValue);
return(clsValue);
}