#ifndef _LIBSVM_H#define _LIBSVM_H#ifdef __cplusplusextern "C" {#endifstruct svm_node{	int index;	double value;};struct svm_problem{	int l, n;	double *y;	struct svm_node **x;};enum { C_SVC, KBB, SPOC, EPSILON_SVR };	/* svm_type */enum { LINEAR, POLY, RBF, SIGMOID };	/* 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, KBB, EPSILON_SVR and EPSILON_SVR */	int nr_weight;		/* for C_SVC, KBB and SPOC */	int *weight_label;	/* for C_SVC, KBB and SPOC */	double* weight;		/* for C_SVC, KBB and SPOC */	double p;	/* for EPSILON_SVR */	int shrinking;	/* use the shrinking heuristics */	int qpsize;	/* for C_SVC, KBB and EPSILON_SVR */	double Cbegin, Cstep;	/* for linear kernel */ };struct BQP{	double eps;        int n;        double *x, *C, *Q, *p;};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);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);#ifdef __cplusplus}#endif#endif /* _LIBSVM_H */