ECOCPAK v0.9
Data Structures | Defines | Typedefs | Functions | Variables
svm.cpp File Reference
#include <math.h>
#include <stdio.h>
#include <stdlib.h>
#include <ctype.h>
#include <float.h>
#include <string.h>
#include <stdarg.h>
#include "svm.h"

Data Structures

class  Cache
struct  Cache::head_t
class  QMatrix
class  Kernel
class  Solver
struct  Solver::SolutionInfo
class  Solver_NU
class  SVC_Q
class  ONE_CLASS_Q
class  SVR_Q
struct  decision_function

Defines

#define INF   HUGE_VAL
#define TAU   1e-12
#define Malloc(type, n)   (type *)malloc((n)*sizeof(type))

Typedefs

typedef float Qfloat
typedef signed char schar

Functions

template<class T >
static T min (T x, T y)
template<class T >
static T max (T x, T y)
template<class T >
static void swap (T &x, T &y)
template<class S , class T >
static void clone (T *&dst, S *src, int n)
static double powi (double base, int times)
static void print_string_stdout (const char *s)
static void info (const char *fmt,...)
static void solve_c_svc (const svm_problem *prob, const svm_parameter *param, double *alpha, Solver::SolutionInfo *si, double Cp, double Cn)
static void solve_nu_svc (const svm_problem *prob, const svm_parameter *param, double *alpha, Solver::SolutionInfo *si)
static void solve_one_class (const svm_problem *prob, const svm_parameter *param, double *alpha, Solver::SolutionInfo *si)
static void solve_epsilon_svr (const svm_problem *prob, const svm_parameter *param, double *alpha, Solver::SolutionInfo *si)
static void solve_nu_svr (const svm_problem *prob, const svm_parameter *param, double *alpha, Solver::SolutionInfo *si)
static decision_function svm_train_one (const svm_problem *prob, const svm_parameter *param, double Cp, double Cn)
static void sigmoid_train (int l, const double *dec_values, const double *labels, double &A, double &B)
static double sigmoid_predict (double decision_value, double A, double B)
static void multiclass_probability (int k, double **r, double *p)
static void svm_binary_svc_probability (const svm_problem *prob, const svm_parameter *param, double Cp, double Cn, double &probA, double &probB)
static double svm_svr_probability (const svm_problem *prob, const svm_parameter *param)
static void svm_group_classes (const svm_problem *prob, int *nr_class_ret, int **label_ret, int **start_ret, int **count_ret, int *perm)
svm_modelsvm_train (const svm_problem *prob, const svm_parameter *param)
void svm_cross_validation (const svm_problem *prob, const svm_parameter *param, int nr_fold, double *target)
int svm_get_svm_type (const svm_model *model)
int svm_get_nr_class (const svm_model *model)
void svm_get_labels (const svm_model *model, int *label)
double svm_get_svr_probability (const svm_model *model)
double svm_predict_values (const svm_model *model, const svm_node *x, double *dec_values)
double svm_predict (const svm_model *model, const svm_node *x)
double svm_predict_probability (const svm_model *model, const svm_node *x, double *prob_estimates)
int svm_save_model (const char *model_file_name, const svm_model *model)
static char * readline (FILE *input)
svm_modelsvm_load_model (const char *model_file_name)
void svm_free_model_content (svm_model *model_ptr)
void svm_free_and_destroy_model (svm_model **model_ptr_ptr)
void svm_destroy_param (svm_parameter *param)
const char * svm_check_parameter (const svm_problem *prob, const svm_parameter *param)
int svm_check_probability_model (const svm_model *model)
void svm_set_print_string_function (void(*print_func)(const char *))

Variables

int libsvm_version = LIBSVM_VERSION
static void(* svm_print_string )(const char *) = &print_string_stdout
static const char * svm_type_table []
static const char * kernel_type_table []
static char * line = NULL
static int max_line_len

Define Documentation

#define INF   HUGE_VAL
#define Malloc (   type,
 
)    (type *)malloc((n)*sizeof(type))
#define TAU   1e-12

Typedef Documentation

typedef float Qfloat
typedef signed char schar

Function Documentation

template<class S , class T >
static void clone ( T *&  dst,
S *  src,
int  n 
) [inline, static]
static void info ( const char *  fmt,
  ... 
) [static]
template<class T >
static T max ( x,
y 
) [inline, static]
template<class T >
static T min ( x,
y 
) [inline, static]
static void multiclass_probability ( int  k,
double **  r,
double *  p 
) [static]
static double powi ( double  base,
int  times 
) [inline, static]
static void print_string_stdout ( const char *  s) [static]
static char* readline ( FILE *  input) [static]
static double sigmoid_predict ( double  decision_value,
double  A,
double  B 
) [static]
static void sigmoid_train ( int  l,
const double *  dec_values,
const double *  labels,
double &  A,
double &  B 
) [static]
static void solve_c_svc ( const svm_problem prob,
const svm_parameter param,
double *  alpha,
Solver::SolutionInfo si,
double  Cp,
double  Cn 
) [static]
static void solve_epsilon_svr ( const svm_problem prob,
const svm_parameter param,
double *  alpha,
Solver::SolutionInfo si 
) [static]
static void solve_nu_svc ( const svm_problem prob,
const svm_parameter param,
double *  alpha,
Solver::SolutionInfo si 
) [static]
static void solve_nu_svr ( const svm_problem prob,
const svm_parameter param,
double *  alpha,
Solver::SolutionInfo si 
) [static]
static void solve_one_class ( const svm_problem prob,
const svm_parameter param,
double *  alpha,
Solver::SolutionInfo si 
) [static]
static void svm_binary_svc_probability ( const svm_problem prob,
const svm_parameter param,
double  Cp,
double  Cn,
double &  probA,
double &  probB 
) [static]
const char* svm_check_parameter ( const svm_problem prob,
const svm_parameter param 
)
int svm_check_probability_model ( const svm_model model)
void svm_cross_validation ( const svm_problem prob,
const svm_parameter param,
int  nr_fold,
double *  target 
)
void svm_destroy_param ( svm_parameter param)
void svm_free_and_destroy_model ( svm_model **  model_ptr_ptr)
void svm_free_model_content ( svm_model model_ptr)
void svm_get_labels ( const svm_model model,
int *  label 
)
int svm_get_nr_class ( const svm_model model)
int svm_get_svm_type ( const svm_model model)
double svm_get_svr_probability ( const svm_model model)
static void svm_group_classes ( const svm_problem prob,
int *  nr_class_ret,
int **  label_ret,
int **  start_ret,
int **  count_ret,
int *  perm 
) [static]
svm_model* svm_load_model ( const char *  model_file_name) [read]
double svm_predict ( const svm_model model,
const svm_node x 
)
double svm_predict_probability ( const svm_model model,
const svm_node x,
double *  prob_estimates 
)
double svm_predict_values ( const svm_model model,
const svm_node x,
double *  dec_values 
)
int svm_save_model ( const char *  model_file_name,
const svm_model model 
)
void svm_set_print_string_function ( void(*)(const char *)  print_func)
static double svm_svr_probability ( const svm_problem prob,
const svm_parameter param 
) [static]
svm_model* svm_train ( const svm_problem prob,
const svm_parameter param 
)
static decision_function svm_train_one ( const svm_problem prob,
const svm_parameter param,
double  Cp,
double  Cn 
) [static]
template<class T >
static void swap ( T &  x,
T &  y 
) [inline, static]

Variable Documentation

const char* kernel_type_table[] [static]
Initial value:
{
        "linear","polynomial","rbf","sigmoid","precomputed",NULL
}
int libsvm_version = LIBSVM_VERSION
char* line = NULL [static]
int max_line_len [static]
void(* svm_print_string)(const char *) = &print_string_stdout [static]
const char* svm_type_table[] [static]
Initial value:
{
        "c_svc","nu_svc","one_class","epsilon_svr","nu_svr",NULL
}
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