#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 "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

class	SVR_Q

Macros
#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 >
static void	clone (T &dst, S src, int n)

static void	info (const char *fmt,...)

template<class T >
static T	max (T x, T y)

template<class T >
static T	min (T x, T y)

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

static double	powi (double base, int times)

static void	print_string_stdout (const char *s)

static char *	readline (FILE *input)

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

static 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)

static 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_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_nr_sv (const svm_model *model)

void	svm_get_sv_indices (const svm_model model, int indices)

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)

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)

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(print_func)(const char ))

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

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)

template<class T >
static void	swap (T &x, T &y)

Variables
static const char *	kernel_type_table []

int	libsvm_version = LIBSVM_VERSION

static char *	line = NULL

static int	max_line_len

static void(*	svm_print_string )(const char *) = &print_string_stdout

static const char *	svm_type_table []

Macro Definition Documentation

#define INF HUGE_VAL

Definition at line 48 of file svm.cpp.

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

Definition at line 50 of file svm.cpp.

#define TAU 1e-12

Definition at line 49 of file svm.cpp.

Typedef Documentation

typedef float Qfloat

Definition at line 12 of file svm.cpp.

typedef signed char schar

Definition at line 13 of file svm.cpp.

Function Documentation

template<class S , class T >

static void clone	(	T *&	dst,
		S *	src,
		int	n
	)

inlinestatic

Definition at line 32 of file svm.cpp.

static void info	(	const char *	fmt,
			...
	)

static

Definition at line 59 of file svm.cpp.

template<class T >

static T max	(	T	x,
		T	y
	)

inlinestatic

Definition at line 21 of file svm.cpp.

template<class T >

static T min	(	T	x,
		T	y
	)

inlinestatic

Definition at line 15 of file svm.cpp.

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

static

Definition at line 1859 of file svm.cpp.

static double powi	(	double	base,
		int	times
	)

inlinestatic

Definition at line 37 of file svm.cpp.

static void print_string_stdout ( const char * s )

static

Definition at line 52 of file svm.cpp.

static char* readline ( FILE * input )

static

Definition at line 2748 of file svm.cpp.

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

static

Definition at line 1848 of file svm.cpp.

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

static

Definition at line 1730 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 1464 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 1587 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 1500 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 1625 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 1555 of file svm.cpp.

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

static

Definition at line 1923 of file svm.cpp.

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

Definition at line 3029 of file svm.cpp.

int svm_check_probability_model ( const svm_model * model )

Definition at line 3150 of file svm.cpp.

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

Definition at line 2352 of file svm.cpp.

void svm_destroy_param ( svm_parameter * param )

Definition at line 3023 of file svm.cpp.

void svm_free_and_destroy_model ( svm_model ** model_ptr_ptr )

Definition at line 3013 of file svm.cpp.

void svm_free_model_content ( svm_model * model_ptr )

Definition at line 2981 of file svm.cpp.

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

Definition at line 2480 of file svm.cpp.

int svm_get_nr_class ( const svm_model * model )

Definition at line 2475 of file svm.cpp.

int svm_get_nr_sv ( const svm_model * model )

Definition at line 2494 of file svm.cpp.

void svm_get_sv_indices	(	const svm_model *	model,
		int *	indices
	)

Definition at line 2487 of file svm.cpp.

int svm_get_svm_type ( const svm_model * model )

Definition at line 2470 of file svm.cpp.

double svm_get_svr_probability ( const svm_model * model )

Definition at line 2499 of file svm.cpp.

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

Definition at line 2044 of file svm.cpp.

svm_model* svm_load_model ( const char * model_file_name )

Definition at line 2766 of file svm.cpp.

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

Definition at line 2587 of file svm.cpp.

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

Definition at line 2602 of file svm.cpp.

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

Definition at line 2511 of file svm.cpp.

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

Definition at line 2651 of file svm.cpp.

void svm_set_print_string_function ( void(*)(const char *) print_func )

Definition at line 3158 of file svm.cpp.

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

static

Definition at line 2010 of file svm.cpp.

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

Definition at line 2104 of file svm.cpp.

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

static

Definition at line 1672 of file svm.cpp.

template<class T >

static void swap	(	T &	x,
		T &	y
	)

inlinestatic

Definition at line 26 of file svm.cpp.

Variable Documentation

const char* kernel_type_table[]

static

Initial value:

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

Definition at line 2646 of file svm.cpp.

int libsvm_version = LIBSVM_VERSION

Definition at line 11 of file svm.cpp.

char* line = NULL

static

Definition at line 2745 of file svm.cpp.

int max_line_len

static

Definition at line 2746 of file svm.cpp.

void(* svm_print_string) (const char *) = &print_string_stdout

static

Definition at line 57 of file svm.cpp.

const char* svm_type_table[]

static

Initial value:

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

Definition at line 2641 of file svm.cpp.

Classes

Macros

Typedefs

Functions

Variables

Macro Definition Documentation

Typedef Documentation

Function Documentation

Variable Documentation