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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"

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Classes
class	Cache
struct	Cache::head_t
class	Kernel
class	Solver
struct	Solver::SolutionInfo
class	Solver_NU
class	SVC_Q
class	ONE_CLASS_Q
class	SVR_Q
struct	decision_function
struct	svm_model
Defines
#define	INF   HUGE_VAL
#define	Malloc(type, n)   (type *)malloc((n)*sizeof(type))
Typedefs
typedef float	Qfloat
typedef signed char	schar
Functions
template<class T>
T	min (T x, T y)
template<class T>
T	max (T x, T y)
template<class T>
void	swap (T &x, T &y)
template<class S, class T>
void	clone (T *&dst, S *src, int n)
void	info (char *fmt,...)
void	info_flush ()
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)
decision_function	svm_train_one (const svm_problem *prob, const svm_parameter *param, double Cp, double Cn)
void	sigmoid_train (int l, const double *dec_values, const double *labels, double &A, double &B)
double	sigmoid_predict (double decision_value, double A, double B)
void	multiclass_probability (int k, double **r, double *p)
void	svm_binary_svc_probability (const svm_problem *prob, const svm_parameter *param, double Cp, double Cn, double &probA, double &probB)
double	svm_svr_probability (const svm_problem *prob, const svm_parameter *param)
svm_model *	svm_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)
void	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)
svm_model *	svm_load_model (const char *model_file_name)
void	svm_destroy_model (svm_model *model)
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)
Variables
const char *	svm_type_table []
const char *	kernel_type_table []

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