ARLK: include/svm.h File Reference
ARLK  0.1.0
Action Recognition Library for Kinect
svm.h File Reference

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Classes

struct  svm_node
 
struct  svm_problem
 
struct  svm_parameter
 
struct  svm_model
 

Macros

#define LIBSVM_VERSION   317
 

Enumerations

enum  {
  C_SVC, NU_SVC, ONE_CLASS, EPSILON_SVR,
  NU_SVR
}
 
enum  {
  LINEAR, POLY, RBF, SIGMOID,
  PRECOMPUTED
}
 

Functions

struct svm_modelsvm_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)
 
int svm_save_model (const char *model_file_name, const struct svm_model *model)
 
struct svm_modelsvm_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)
 
void svm_free_model_content (struct svm_model *model_ptr)
 
void svm_free_and_destroy_model (struct svm_model **model_ptr_ptr)
 
void svm_destroy_param (struct svm_parameter *param)
 
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)
 
void svm_set_print_string_function (void(*print_func)(const char *))
 

Variables

int libsvm_version
 

Macro Definition Documentation

#define LIBSVM_VERSION   317

Enumeration Type Documentation

anonymous enum
Enumerator:
C_SVC 
NU_SVC 
ONE_CLASS 
EPSILON_SVR 
NU_SVR 
anonymous enum
Enumerator:
LINEAR 
POLY 
RBF 
SIGMOID 
PRECOMPUTED 

Function Documentation

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)
void svm_cross_validation ( const struct svm_problem prob,
const struct svm_parameter param,
int  nr_fold,
double *  target 
)
void svm_destroy_param ( struct svm_parameter param)
void svm_free_and_destroy_model ( struct svm_model **  model_ptr_ptr)
void svm_free_model_content ( struct svm_model model_ptr)
void svm_get_labels ( const struct svm_model model,
int *  label 
)
int svm_get_nr_class ( const struct svm_model model)
int svm_get_nr_sv ( const struct svm_model model)
void svm_get_sv_indices ( const struct svm_model model,
int *  sv_indices 
)
int svm_get_svm_type ( const struct svm_model model)
double svm_get_svr_probability ( const struct svm_model model)
struct svm_model* svm_load_model ( const char *  model_file_name)
read
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 
)
double svm_predict_values ( const struct svm_model model,
const struct svm_node x,
double *  dec_values 
)
int svm_save_model ( const char *  model_file_name,
const struct svm_model model 
)
void svm_set_print_string_function ( void(*)(const char *)  print_func)
struct svm_model* svm_train ( const struct svm_problem prob,
const struct svm_parameter param 
)
read

Variable Documentation

int libsvm_version