code: //
  // svm_model
  //
  package libsvm;
  public class svm_model implements java.io.Serializable
  {
  	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])
  	double[] probA;         // pariwise probability information
  	double[] probB;
  
  	// 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
  };
  