svm.h in rb-libsvm-1.0.9

- old
+ new

@@ -1,9 +1,9 @@
 #ifndef _LIBSVM_H
 #define _LIBSVM_H
 
-#define LIBSVM_VERSION 312
+#define LIBSVM_VERSION 313
 
 #ifdef __cplusplus
 extern "C" {
 #endif
 
@@ -57,10 +57,11 @@
 	struct svm_node **SV;		/* SVs (SV[l]) */
 	double **sv_coef;	/* coefficients for SVs in decision functions (sv_coef[k-1][l]) */
 	double *rho;		/* constants in decision functions (rho[k*(k-1)/2]) */
 	double *probA;		/* pariwise probability information */
 	double *probB;
+	int *sv_indices;        /* sv_indices[0,...,nSV-1] are values in [1,...,num_traning_data] to indicate SVs in the training set */
 
 	/* for classification only */
 
 	int *label;		/* label of each class (label[k]) */
 	int *nSV;		/* number of SVs for each class (nSV[k]) */
@@ -77,9 +78,11 @@
 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);
+void svm_get_sv_indices(const struct svm_model *model, int *sv_indices);
+int svm_get_nr_sv(const struct svm_model *model);
 double svm_get_svr_probability(const struct svm_model *model);
 
 double svm_predict_values(const struct svm_model *model, const struct svm_node *x, double* dec_values);
 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);