#include <math.h>
#include <stdio.h>
#include <stdlib.h>
#include <ctype.h>
#include <float.h>
#include <string.h>
#include <stdarg.h>
#include <limits.h>
#include <locale.h>
#include <mitkLocaleSwitch.h>
#include "svm.h"

Macros
#define	INF

#define	TAU

#define	Malloc(type, n)

#define	FSCANF(_stream, _format, _var)

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)

static void	remove_zero_weight (svm_problem newprob, const svm_problem prob)

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)

void	svm_get_sv_indices (const svm_model model, int indices)

int	svm_get_nr_sv (const svm_model *model)

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)

bool	read_model_header (FILE fp, svm_model model)

svm_model *	svm_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

static void(*	svm_print_string )(const char *)

static const char *	svm_type_table []

static const char *	kernel_type_table []

static char *	line

static int	max_line_len