#include <ml.hpp>

Inheritance diagram for CvSVM:

Public Types
enum	{ C_SVC =100, NU_SVC =101, ONE_CLASS =102, EPS_SVR =103, NU_SVR =104 }

enum	{ LINEAR =0, POLY =1, RBF =2, SIGMOID =3 }

enum	{ C =0, GAMMA =1, P =2, NU =3, COEF =4, DEGREE =5 }

Public Member Functions
	CvSVM ()

virtual	~CvSVM ()

	CvSVM (const CvMat trainData, const CvMat responses, const CvMat varIdx=0, const CvMat sampleIdx=0, CvSVMParams params=CvSVMParams())

virtual bool	train (const CvMat trainData, const CvMat responses, const CvMat varIdx=0, const CvMat sampleIdx=0, CvSVMParams params=CvSVMParams())

virtual bool	train_auto (const CvMat trainData, const CvMat responses, const CvMat varIdx, const CvMat sampleIdx, CvSVMParams params, int kfold=10, CvParamGrid Cgrid=get_default_grid(CvSVM::C), CvParamGrid gammaGrid=get_default_grid(CvSVM::GAMMA), CvParamGrid pGrid=get_default_grid(CvSVM::P), CvParamGrid nuGrid=get_default_grid(CvSVM::NU), CvParamGrid coeffGrid=get_default_grid(CvSVM::COEF), CvParamGrid degreeGrid=get_default_grid(CvSVM::DEGREE), bool balanced=false)

virtual float	predict (const CvMat *sample, bool returnDFVal=false) const

virtual float	predict (const CvMat samples, CV_OUT CvMat results) const

	CvSVM (const cv::Mat &trainData, const cv::Mat &responses, const cv::Mat &varIdx=cv::Mat(), const cv::Mat &sampleIdx=cv::Mat(), CvSVMParams params=CvSVMParams())

virtual bool	train (const cv::Mat &trainData, const cv::Mat &responses, const cv::Mat &varIdx=cv::Mat(), const cv::Mat &sampleIdx=cv::Mat(), CvSVMParams params=CvSVMParams())

virtual bool	train_auto (const cv::Mat &trainData, const cv::Mat &responses, const cv::Mat &varIdx, const cv::Mat &sampleIdx, CvSVMParams params, int k_fold=10, CvParamGrid Cgrid=CvSVM::get_default_grid(CvSVM::C), CvParamGrid gammaGrid=CvSVM::get_default_grid(CvSVM::GAMMA), CvParamGrid pGrid=CvSVM::get_default_grid(CvSVM::P), CvParamGrid nuGrid=CvSVM::get_default_grid(CvSVM::NU), CvParamGrid coeffGrid=CvSVM::get_default_grid(CvSVM::COEF), CvParamGrid degreeGrid=CvSVM::get_default_grid(CvSVM::DEGREE), bool balanced=false)

virtual float	predict (const cv::Mat &sample, bool returnDFVal=false) const

void	predict (cv::InputArray samples, cv::OutputArray results) const

virtual int	get_support_vector_count () const

virtual const float *	get_support_vector (int i) const

virtual CvSVMParams	get_params () const

virtual void	clear ()

virtual void	write (CvFileStorage storage, const char name) const

virtual void	read (CvFileStorage storage, CvFileNode node)

int	get_var_count () const

Public Member Functions inherited from CvStatModel
	CvStatModel ()

virtual	~CvStatModel ()

virtual void	save (const char filename, const char name=0) const

virtual void	load (const char filename, const char name=0)

Static Public Member Functions
static CvParamGrid	get_default_grid (int param_id)

Protected Member Functions
virtual bool	set_params (const CvSVMParams &params)

virtual bool	train1 (int sample_count, int var_count, const float *samples, const void responses, double Cp, double Cn, CvMemStorage _storage, double alpha, double &rho)

virtual bool	do_train (int svm_type, int sample_count, int var_count, const float *samples, const CvMat responses, CvMemStorage _storage, double alpha)

virtual void	create_kernel ()

virtual void	create_solver ()

virtual float	predict (const float *row_sample, int row_len, bool returnDFVal=false) const

virtual void	write_params (CvFileStorage *fs) const

virtual void	read_params (CvFileStorage fs, CvFileNode node)

void	optimize_linear_svm ()

Protected Attributes
CvSVMParams	params

CvMat *	class_labels

int	var_all

float **	sv

int	sv_total

CvMat *	var_idx

CvMat *	class_weights

CvSVMDecisionFunc *	decision_func

CvMemStorage *	storage

CvSVMSolver *	solver

CvSVMKernel *	kernel

Protected Attributes inherited from CvStatModel
const char *	default_model_name

Member Enumeration Documentation

anonymous enum

Enumerator
C_SVC
NU_SVC
ONE_CLASS
EPS_SVR
NU_SVR

anonymous enum

Enumerator
LINEAR
POLY
RBF
SIGMOID

anonymous enum

Enumerator
C
GAMMA
P
NU
COEF
DEGREE

Constructor & Destructor Documentation

CvSVM::CvSVM ( )

virtual CvSVM::~CvSVM ( )

virtual

CvSVM::CvSVM	(	const CvMat *	trainData,
		const CvMat *	responses,
		const CvMat *	varIdx = `0`,
		const CvMat *	sampleIdx = `0`,
		CvSVMParams	params = `CvSVMParams()`
	)

CvSVM::CvSVM	(	const cv::Mat &	trainData,
		const cv::Mat &	responses,
		const cv::Mat &	varIdx = `cv::Mat()`,
		const cv::Mat &	sampleIdx = `cv::Mat()`,
		CvSVMParams	params = `CvSVMParams()`
	)

Member Function Documentation

virtual void CvSVM::clear ( )

virtual

Reimplemented from CvStatModel.

virtual void CvSVM::create_kernel ( )

protectedvirtual

Reimplemented in cv::ocl::CvSVM_OCL.

virtual void CvSVM::create_solver ( )

protectedvirtual

Reimplemented in cv::ocl::CvSVM_OCL.

virtual bool CvSVM::do_train	(	int	svm_type,
		int	sample_count,
		int	var_count,
		const float **	samples,
		const CvMat *	responses,
		CvMemStorage *	_storage,
		double *	alpha
	)

protectedvirtual

static CvParamGrid CvSVM::get_default_grid ( int param_id )

static

virtual CvSVMParams CvSVM::get_params ( ) const

inlinevirtual

virtual const float* CvSVM::get_support_vector ( int i ) const

virtual

virtual int CvSVM::get_support_vector_count ( ) const

virtual

int CvSVM::get_var_count ( ) const

inline

void CvSVM::optimize_linear_svm ( )

protected

virtual float CvSVM::predict	(	const CvMat *	sample,
		bool	returnDFVal = `false`
	)		const

virtual

virtual float CvSVM::predict	(	const CvMat *	samples,
		CV_OUT CvMat *	results
	)		const

virtual

Reimplemented in cv::ocl::CvSVM_OCL.

virtual float CvSVM::predict	(	const cv::Mat &	sample,
		bool	returnDFVal = `false`
	)		const

virtual

Reimplemented in cv::ocl::CvSVM_OCL.

void CvSVM::predict	(	cv::InputArray	samples,
		cv::OutputArray	results
	)		const

virtual float CvSVM::predict	(	const float *	row_sample,
		int	row_len,
		bool	returnDFVal = `false`
	)		const

protectedvirtual

virtual void CvSVM::read	(	CvFileStorage *	storage,
		CvFileNode *	node
	)

virtual

Reimplemented from CvStatModel.

virtual void CvSVM::read_params	(	CvFileStorage *	fs,
		CvFileNode *	node
	)

protectedvirtual

virtual bool CvSVM::set_params ( const CvSVMParams & params )

protectedvirtual

virtual bool CvSVM::train	(	const CvMat *	trainData,
		const CvMat *	responses,
		const CvMat *	varIdx = `0`,
		const CvMat *	sampleIdx = `0`,
		CvSVMParams	params = `CvSVMParams()`
	)

virtual

virtual bool CvSVM::train	(	const cv::Mat &	trainData,
		const cv::Mat &	responses,
		const cv::Mat &	varIdx = `cv::Mat()`,
		const cv::Mat &	sampleIdx = `cv::Mat()`,
		CvSVMParams	params = `CvSVMParams()`
	)

virtual

virtual bool CvSVM::train1	(	int	sample_count,
		int	var_count,
		const float **	samples,
		const void *	responses,
		double	Cp,
		double	Cn,
		CvMemStorage *	_storage,
		double *	alpha,
		double &	rho
	)

protectedvirtual

virtual bool CvSVM::train_auto	(	const CvMat *	trainData,
		const CvMat *	responses,
		const CvMat *	varIdx,
		const CvMat *	sampleIdx,
		CvSVMParams	params,
		int	kfold = `10`,
		CvParamGrid	Cgrid = `get_default_grid(CvSVM::C)`,
		CvParamGrid	gammaGrid = `get_default_grid(CvSVM::GAMMA)`,
		CvParamGrid	pGrid = `get_default_grid(CvSVM::P)`,
		CvParamGrid	nuGrid = `get_default_grid(CvSVM::NU)`,
		CvParamGrid	coeffGrid = `get_default_grid(CvSVM::COEF)`,
		CvParamGrid	degreeGrid = `get_default_grid(CvSVM::DEGREE)`,
		bool	balanced = `false`
	)

virtual

virtual bool CvSVM::train_auto	(	const cv::Mat &	trainData,
		const cv::Mat &	responses,
		const cv::Mat &	varIdx,
		const cv::Mat &	sampleIdx,
		CvSVMParams	params,
		int	k_fold = `10`,
		CvParamGrid	Cgrid = `CvSVM::get_default_grid(CvSVM::C)`,
		CvParamGrid	gammaGrid = `CvSVM::get_default_grid(CvSVM::GAMMA)`,
		CvParamGrid	pGrid = `CvSVM::get_default_grid(CvSVM::P)`,
		CvParamGrid	nuGrid = `CvSVM::get_default_grid(CvSVM::NU)`,
		CvParamGrid	coeffGrid = `CvSVM::get_default_grid(CvSVM::COEF)`,
		CvParamGrid	degreeGrid = `CvSVM::get_default_grid(CvSVM::DEGREE)`,
		bool	balanced = `false`
	)

virtual

virtual void CvSVM::write	(	CvFileStorage *	storage,
		const char *	name
	)		const

virtual

Reimplemented from CvStatModel.

virtual void CvSVM::write_params ( CvFileStorage * fs ) const

protectedvirtual

Member Data Documentation

CvMat* CvSVM::class_labels

protected

CvMat* CvSVM::class_weights

protected

CvSVMDecisionFunc* CvSVM::decision_func

protected

CvSVMKernel* CvSVM::kernel

protected

CvSVMParams CvSVM::params

protected

CvSVMSolver* CvSVM::solver

protected

CvMemStorage* CvSVM::storage

protected

float** CvSVM::sv

protected

int CvSVM::sv_total

protected

int CvSVM::var_all

protected

CvMat* CvSVM::var_idx

protected

The documentation for this class was generated from the following file:

ml/ml.hpp

Public Types

Public Member Functions

Static Public Member Functions

Protected Member Functions

Protected Attributes

Member Enumeration Documentation

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation