1 package libsvm; 2 public class svm_parameter implements Cloneable,java.io.Serializable 3 { 4 /* svm_type */ 5 public static final int C_SVC = 0; 6 public static final int NU_SVC = 1; 7 public static final int ONE_CLASS = 2; 8 public static final int EPSILON_SVR = 3; 9 public static final int NU_SVR = 4; 10 11 /* kernel_type */ 12 public static final int LINEAR = 0; 13 public static final int POLY = 1; 14 public static final int RBF = 2; 15 public static final int SIGMOID = 3; 16 public static final int PRECOMPUTED = 4; 17 18 public int svm_type; 19 public int kernel_type; 20 public int degree; // for poly 21 public double gamma; // for poly/rbf/sigmoid 22 public double coef0; // for poly/sigmoid 23 24 // these are for training only 25 public double cache_size; // in MB 26 public double eps; // stopping criteria 27 public double C; // for C_SVC, EPSILON_SVR and NU_SVR 28 public int nr_weight; // for C_SVC 29 public int[] weight_label; // for C_SVC 30 public double[] weight; // for C_SVC 31 public double nu; // for NU_SVC, ONE_CLASS, and NU_SVR 32 public double p; // for EPSILON_SVR 33 public int shrinking; // use the shrinking heuristics 34 public int probability; // do probability estimates 35 clone()36 public Object clone() 37 { 38 try 39 { 40 return super.clone(); 41 } catch (CloneNotSupportedException e) 42 { 43 return null; 44 } 45 } 46 47 } 48