| @@ -0,0 +1,47 @@ | |||||
| package libsvm; | |||||
| public class svm_parameter implements Cloneable,java.io.Serializable | |||||
| { | |||||
| /* svm_type */ | |||||
| public static final int C_SVC = 0; | |||||
| public static final int NU_SVC = 1; | |||||
| public static final int ONE_CLASS = 2; | |||||
| public static final int EPSILON_SVR = 3; | |||||
| public static final int NU_SVR = 4; | |||||
| /* kernel_type */ | |||||
| public static final int LINEAR = 0; | |||||
| public static final int POLY = 1; | |||||
| public static final int RBF = 2; | |||||
| public static final int SIGMOID = 3; | |||||
| public static final int PRECOMPUTED = 4; | |||||
| public int svm_type; | |||||
| public int kernel_type; | |||||
| public int degree; // for poly | |||||
| public double gamma; // for poly/rbf/sigmoid | |||||
| public double coef0; // for poly/sigmoid | |||||
| // these are for training only | |||||
| public double cache_size; // in MB | |||||
| public double eps; // stopping criteria | |||||
| public double C; // for C_SVC, EPSILON_SVR and NU_SVR | |||||
| public int nr_weight; // for C_SVC | |||||
| public int[] weight_label; // for C_SVC | |||||
| public double[] weight; // for C_SVC | |||||
| public double nu; // for NU_SVC, ONE_CLASS, and NU_SVR | |||||
| public double p; // for EPSILON_SVR | |||||
| public int shrinking; // use the shrinking heuristics | |||||
| public int probability; // do probability estimates | |||||
| public Object clone() | |||||
| { | |||||
| try | |||||
| { | |||||
| return super.clone(); | |||||
| } catch (CloneNotSupportedException e) | |||||
| { | |||||
| return null; | |||||
| } | |||||
| } | |||||
| } | |||||