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//
// svm_model
//
package org.machinelearning.svm.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
};