code: //
  // svm_model
  //
  package libsvm;
  public class svm_model implements java.io.Serializable
  {
  	public svm_parameter param;	// parameter
  	public int nr_class;		// number of classes, = 2 in regression/one class svm
  	public int l;			// total #SV
  	public svm_node[][] SV;	// SVs (SV[l])
  	public double[][] sv_coef;	// coefficients for SVs in decision functions (sv_coef[k-1][l])
  	public double[] rho;		// constants in decision functions (rho[k*(k-1)/2])
  	public double[] probA;         // pariwise probability information
  	public double[] probB;
  	public int[] sv_indices;       // sv_indices[0,...,nSV-1] are values in [1,...,num_traning_data] to indicate SVs in the training set
  
  	// for classification only
  
  	public int[] label;		// label of each class (label[k])
  	public int[] nSV;		// number of SVs for each class (nSV[k])
  				// nSV[0] + nSV[1] + ... + nSV[k-1] = l
  };
  