//// svm_model//package libsvm;public class svm_model{	svm_parameter param;	// parameter	int nr_class;		// number of classes, = 2 in regression/one class svm	int l;			// total #SV	svm_node[][] SV;	// SVs (SV[l])	double[][] sv_coef;	// coefficients for SVs in decision functions (sv_coef[n-1][l])	double[] rho;		// constants in decision functions (rho[n*(n-1)/2])	// for classification only	int[] label;		// label of each class (label[n])	int[] nSV;		// number of SVs for each class (nSV[n])				// nSV[0] + nSV[1] + ... + nSV[n-1] = l};