#ifndef _LIBSVM_H#define _LIBSVM_H#ifdef __cplusplusextern "C" {#endifstruct 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, MATRIX };	/* kernel_type */struct svm_parameter{	int svm_type;	int kernel_type;	double 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 */};struct svm_model *svm_train(const struct svm_problem *prob,			    const struct svm_parameter *param);int svm_save_model(const char *model_file_name, const struct svm_model *model);void svm_copy_model(double *ALPHAY,double *SVs,double *BIAS,double *NSV,double *NLABEL, struct svm_model *model);int get_svm_model_l(struct svm_model* model);int get_svm_model_nrclass(struct svm_model* model);void svm_copy_model(double ALPHAY[],double SVs[],double BIAS[],double NSV[],double NLABEL[],struct svm_model* model);struct svm_model *svm_read_model(double ALPHAY[],double SVs[],double BIAS[],double NSV[],double NLABEL[], double params[], int n, int l);struct svm_model *svm_load_model(const char *model_file_name);double svm_predict(const struct svm_model *model, const struct svm_node *x);void svm_destroy_model(struct svm_model *model);const char *svm_check_parameter(const struct svm_problem *prob, const struct svm_parameter *param);int kernel_type_matrix(struct svm_model *model);#ifdef __cplusplus}#endif#endif /* _LIBSVM_H */