Access support vector in LibSVM and Weka

SVLibSVM.java

import weka.classifiers.functions.LibSVM;
import weka.core.Instance;
import weka.core.Instances;
import weka.core.SelectedTag;

import libsvm.svm_model;

import java.io.BufferedReader;
import java.io.FileReader;
import java.lang.reflect.Field;

public class SVLibSVM {

	public static void main(String[] args) throws Exception {
		BufferedReader reader = new BufferedReader(new FileReader("data/diabetes.arff"));
		Instances data = new Instances(reader);
		reader.close();
		data.setClassIndex(data.numAttributes() - 1);

		// create Model
		LibSVM libsvmModel = new LibSVM();
		libsvmModel.setKernelType(new SelectedTag(LibSVM.KERNELTYPE_LINEAR, LibSVM.TAGS_KERNELTYPE));

		// train classifier
		libsvmModel.buildClassifier(data);

		// extract trained model via reflection, type is libsvm.svm_model
		// see https://github.com/cjlin1/libsvm/blob/master/java/libsvm/svm_model.java
		svm_model model = getModel(libsvmModel);

		// get the indices of the support vectors in the training data
		// Note: this indices start count at 1 insteadof 0
		int[] indices = model.sv_indices;

		for (int i : indices) {
			// indices start counting by 1 insteadof 0 so instance i-1
			Instance supportVector = data.instance(i - 1);
			System.out.println(i + ": " + supportVector);
		}
	}

	public static svm_model getModel(LibSVM svm) throws IllegalAccessException, NoSuchFieldException {
		Field modelField = svm.getClass().getDeclaredField("m_Model");
		modelField.setAccessible(true);
		return (svm_model) modelField.get(svm);
	}

}