SVMCrossVal.git

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#ifndef _LIBSVM_H
#define _LIBSVM_H
#define LIBSVM_VERSION 288
#ifdef __cplusplus
extern "C" {
#endif
struct svm_node
{
    int index;
    double value;
};
struct svm_problem
{
    int l;
    double *y;
    struct svm_node **x;
};
enum { C_SVC, NU_SVC, ONE_CLASS, EPSILON_SVR, NU_SVR }; /* svm_type */
enum { LINEAR, POLY, RBF, SIGMOID, PRECOMPUTED }; /* kernel_type */
struct svm_parameter
{
    int svm_type;
    int kernel_type;
    int degree; /* for poly */
    double gamma;   /* for poly/rbf/sigmoid */
    double coef0;   /* for poly/sigmoid */
    /* these are for training only */
    double cache_size; /* in MB */
    double eps; /* stopping criteria */
    double C;   /* for C_SVC, EPSILON_SVR and NU_SVR */
    int nr_weight;      /* for C_SVC */
    int *weight_label;  /* for C_SVC */
    double* weight;     /* for C_SVC */
    double nu;  /* for NU_SVC, ONE_CLASS, and NU_SVR */
    double p;   /* for EPSILON_SVR */
    int shrinking;  /* use the shrinking heuristics */
    int probability; /* do probability estimates */
};
struct svm_model
{
    struct svm_parameter param; // parameter
    int nr_class;       // number of classes, = 2 in regression/one class svm
    int l;          // total #SV
 
 
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