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

Include dependency graph for svm.cpp:

Classes
class	Cache
struct	decision_function
struct	Cache::head_t
class	Kernel
class	ONE_CLASS_Q
class	QMatrix
struct	Solver::SolutionInfo
class	Solver
class	Solver_NU
class	SVC_Q
struct	svm_model
class	SVR_Q
Defines
#define	INF HUGE_VAL
#define	Malloc(type, n) (type )malloc((n)sizeof(type))
#define	TAU 1e-12
Typedefs
typedef float	Qfloat
typedef signed char	schar
Functions
template<class S , class T >
void	clone (T &dst, S src, int n)
void	info (char *fmt,...)
void	info_flush ()
template<class T >
T	max (T x, T y)
template<class T >
T	min (T x, T y)
void	multiclass_probability (int k, double *r, double p)
double	powi (double base, int times)
double	sigmoid_predict (double decision_value, double A, double B)
void	sigmoid_train (int l, const double dec_values, const double labels, double &A, double &B)
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_epsilon_svr (const svm_problem prob, const svm_parameter param, double alpha, Solver::SolutionInfo si)
static void	solve_nu_svc (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 void	solve_one_class (const svm_problem prob, const svm_parameter param, double alpha, Solver::SolutionInfo si)
void	svm_binary_svc_probability (const svm_problem prob, const svm_parameter param, double Cp, double Cn, double &probA, double &probB)
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_model (svm_model *model)
void	svm_destroy_param (svm_parameter *param)
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)
void	svm_group_classes (const svm_problem prob, int nr_class_ret, int label_ret, int start_ret, int *count_ret, int perm)
svm_model *	svm_load_model (const char *model_file_name)
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)
void	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)
double	svm_svr_probability (const svm_problem prob, const svm_parameter param)
svm_model *	svm_train (const svm_problem prob, const svm_parameter param)
decision_function	svm_train_one (const svm_problem prob, const svm_parameter param, double Cp, double Cn)
template<class T >
void	swap (T &x, T &y)
Variables
const char *	kernel_type_table []
const char *	svm_type_table []

Define Documentation

#define INF HUGE_VAL

Definition at line 34 of file svm.cpp.

#define Malloc	(	type,
		n
	)	(type )malloc((n)sizeof(type))

Definition at line 36 of file svm.cpp.

#define TAU 1e-12

Definition at line 35 of file svm.cpp.

Typedef Documentation

typedef float Qfloat

Definition at line 9 of file svm.cpp.

typedef signed char schar

Definition at line 10 of file svm.cpp.

Function Documentation

template<class S , class T >

void clone	(	T *&	dst,
		S *	src,
		int	n
	)		`[inline]`

Definition at line 18 of file svm.cpp.

void info	(	char *	fmt,
			...
	)

Definition at line 50 of file svm.cpp.

void info_flush ( )

Definition at line 51 of file svm.cpp.

template<class T >

T max	(	T	x,
		T	y
	)		`[inline]`

Definition at line 15 of file svm.cpp.

template<class T >

T min	(	T	x,
		T	y
	)		`[inline]`

Definition at line 12 of file svm.cpp.

void multiclass_probability	(	int	k,
		double **	r,
		double *	p
	)

Definition at line 1843 of file svm.cpp.

double powi	(	double	base,
		int	times
	)		`[inline]`

Definition at line 23 of file svm.cpp.

double sigmoid_predict	(	double	decision_value,
		double	A,
		double	B
	)

Definition at line 1833 of file svm.cpp.

void sigmoid_train	(	int	l,
		const double *	dec_values,
		const double *	labels,
		double &	A,
		double &	B
	)

Definition at line 1720 of file svm.cpp.

static void solve_c_svc	(	const svm_problem *	prob,
		const svm_parameter *	param,
		double *	alpha,
		Solver::SolutionInfo *	si,
		double	Cp,
		double	Cn
	)		`[static]`

Definition at line 1431 of file svm.cpp.

static void solve_epsilon_svr	(	const svm_problem *	prob,
		const svm_parameter *	param,
		double *	alpha,
		Solver::SolutionInfo *	si
	)		`[static]`

Definition at line 1553 of file svm.cpp.

static void solve_nu_svc	(	const svm_problem *	prob,
		const svm_parameter *	param,
		double *	alpha,
		Solver::SolutionInfo *	si
	)		`[static]`

Definition at line 1466 of file svm.cpp.

static void solve_nu_svr	(	const svm_problem *	prob,
		const svm_parameter *	param,
		double *	alpha,
		Solver::SolutionInfo *	si
	)		`[static]`

Definition at line 1591 of file svm.cpp.

static void solve_one_class	(	const svm_problem *	prob,
		const svm_parameter *	param,
		double *	alpha,
		Solver::SolutionInfo *	si
	)		`[static]`

Definition at line 1521 of file svm.cpp.

void svm_binary_svc_probability	(	const svm_problem *	prob,
		const svm_parameter *	param,
		double	Cp,
		double	Cn,
		double &	probA,
		double &	probB
	)

Definition at line 1907 of file svm.cpp.

const char* svm_check_parameter	(	const svm_problem *	prob,
		const svm_parameter *	param
	)

Definition at line 2916 of file svm.cpp.

int svm_check_probability_model ( const svm_model * model )

Definition at line 3034 of file svm.cpp.

void svm_cross_validation	(	const svm_problem *	prob,
		const svm_parameter *	param,
		int	nr_fold,
		double *	target
	)

Definition at line 2325 of file svm.cpp.

void svm_destroy_model ( svm_model * model )

Definition at line 2894 of file svm.cpp.

void svm_destroy_param ( svm_parameter * param )

Definition at line 2910 of file svm.cpp.

void svm_get_labels	(	const svm_model *	model,
		int *	label
	)

Definition at line 2451 of file svm.cpp.

int svm_get_nr_class ( const svm_model * model )

Definition at line 2446 of file svm.cpp.

int svm_get_svm_type ( const svm_model * model )

Definition at line 2441 of file svm.cpp.

double svm_get_svr_probability ( const svm_model * model )

Definition at line 2458 of file svm.cpp.

void svm_group_classes	(	const svm_problem *	prob,
		int *	nr_class_ret,
		int **	label_ret,
		int **	start_ret,
		int **	count_ret,
		int *	perm
	)

Definition at line 2028 of file svm.cpp.

svm_model* svm_load_model ( const char * model_file_name ) [read]

Definition at line 2705 of file svm.cpp.

double svm_predict	(	const svm_model *	model,
		const svm_node *	x
	)

Definition at line 2525 of file svm.cpp.

double svm_predict_probability	(	const svm_model *	model,
		const svm_node *	x,
		double *	prob_estimates
	)

Definition at line 2569 of file svm.cpp.

void svm_predict_values	(	const svm_model *	model,
		const svm_node *	x,
		double *	dec_values
	)

Definition at line 2470 of file svm.cpp.

int svm_save_model	(	const char *	model_file_name,
		const svm_model *	model
	)

Definition at line 2618 of file svm.cpp.

double svm_svr_probability	(	const svm_problem *	prob,
		const svm_parameter *	param
	)

Definition at line 1994 of file svm.cpp.

svm_model* svm_train	(	const svm_problem *	prob,
		const svm_parameter *	param
	)

Definition at line 2088 of file svm.cpp.

decision_function svm_train_one	(	const svm_problem *	prob,
		const svm_parameter *	param,
		double	Cp,
		double	Cn
	)

Definition at line 1638 of file svm.cpp.

template<class T >

void swap	(	T &	x,
		T &	y
	)		`[inline]`

Definition at line 17 of file svm.cpp.

Variable Documentation

const char* kernel_type_table[]

Initial value:

{
        "linear","polynomial","rbf","sigmoid","precomputed",NULL
}

Definition at line 2613 of file svm.cpp.

const char* svm_type_table[]

Initial value:

{
        "c_svc","nu_svc","one_class","epsilon_svr","nu_svr",NULL
}

Definition at line 2608 of file svm.cpp.

Classes

Defines

Typedefs

Functions

Variables

Define Documentation

Typedef Documentation

Function Documentation

Variable Documentation