svm.h File Reference

#include <iostream>
#include <set>
#include <vector>
#include "KKException.h"
#include "KKStr.h"
#include "RunLog.h"
#include "XmlStream.h"

Go to the source code of this file.

Classes
struct	SVM233::svm_node
struct	SVM233::svm_parameter
struct	SVM233::svm_problem
struct	SVM233::SvmModel233

Namespaces
	SVM233
	This is version 2.33 of "Chih-Chung Chang" and "Chih-Jen Lin" Support vector Machine; the class "ModelOldSVM" calls ths version.

Typedefs
typedef XmlElementTemplate< SvmModel233 >	SVM233::XmlElementSvmModel233
typedef XmlElementSvmModel233 *	SVM233::XmlElementSvmModel233Ptr

Enumerations
enum	{   SVM233::C_SVC, SVM233::NU_SVC, SVM233::ONE_CLASS, SVM233::EPSILON_SVR,   SVM233::NU_SVR }
enum	{ SVM233::LINEAR, SVM233::POLY, SVM233::RBF, SVM233::SIGMOID }

Functions
svm_problem *	SVM233::svm_BuildProbFromTwoClassModel (const SvmModel233 *model, kkint32 excludeSupportVectorIDX)
const char *	SVM233::svm_check_parameter (const struct svm_problem *prob, const struct svm_parameter *param)
void	SVM233::svm_destroy_model (struct SvmModel233 *model)
void	SVM233::svm_get_labels (const struct SvmModel233 *model, kkint32 *label)
kkint32	SVM233::svm_get_nr_class (const struct SvmModel233 *model)
void	SVM233::svm_GetSupportVectorStatistics (const struct SvmModel233 *model, kkint32 &numSVs, kkint32 &totalNumSVs)
	Extract Support Vector statistics . More...
struct SvmModel233 *	SVM233::Svm_Load_Model (std::istream &f, RunLog &log)
void	SVM233::svm_margin (SvmModel233 *model)
double	SVM233::svm_predict (const struct SvmModel233 *model, const struct svm_node *x)
double	SVM233::svm_predict (const struct SvmModel233 *model, const svm_node *x, std::vector< double > &dist, std::vector< kkint32 > &winners, kkint32 excludeSupportVectorIDX)
	Predicts a class for the specified training example. More...
double	SVM233::svm_predictTwoClasses (const SvmModel233 *model, const svm_node *x, double &dist, kkint32 excludeSupportVectorIDX)
void	SVM233::Svm_Save_Model (std::ostream &o, const SvmModel233 *model)
struct SvmModel233 *	SVM233::svm_train (const struct svm_problem *prob, const struct svm_parameter *param)

Variables
const kkint32	SVM233::SCALE = 100