svm.h

libsvm可视化程序

#ifndef _LIBSVM_H
#define _LIBSVM_H

#ifdef __cplusplus
extern "C" {
#endif

struct svm_node
{
	int index;
	double value;
};
/*struct svm_node 用来存储单一向量中的单个特征，例如：
向量x1={ 0.002, 0.345, 4, 5.677};
那么用struct svm_node 来存储时就使用一个包含5 个svm_node 的数组来存储此4 维向量，
内存映象如下：
1       2       3    4   -1
0.002 0.345 4．000 5.677 空
（类型转换不再说明）*/

struct svm_problem//存储本次参加运算的所有样本，及其所属类别。
{
	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 */
};
//最主要的驱动函数，训练数据
struct svm_model *svm_train(const struct svm_problem *prob, const struct svm_parameter *param);

void svm_cross_validation(const struct svm_problem *prob, const struct svm_parameter *param, int nr_fold, double *target);
//保存数据
int svm_save_model(const char *model_file_name, const struct svm_model *model);
//装入数据
struct svm_model *svm_load_model(const char *model_file_name);

int svm_get_svm_type(const struct svm_model *model);
int svm_get_nr_class(const struct svm_model *model);
void svm_get_labels(const struct svm_model *model, int *label);
double svm_get_svr_probability(const struct svm_model *model);

void svm_predict_values(const struct svm_model *model, const struct svm_node *x, double* dec_values);
//预测
double svm_predict(const struct svm_model *model, const struct svm_node *x);
double svm_predict_probability(const struct svm_model *model, const struct svm_node *x, double* prob_estimates);
//销毁数据，释放申请的内存
void svm_destroy_model(struct svm_model *model);
void svm_destroy_param(struct svm_parameter *param);
//检查数据
const char *svm_check_parameter(const struct svm_problem *prob, const struct svm_parameter *param);
int svm_check_probability_model(const struct svm_model *model);

#ifdef __cplusplus
}
#endif

#endif /* _LIBSVM_H */