CvSVM Class Reference

#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
virtual CV_WRAP void	clear ()
CV_WRAP	CvSVM (const cv::Mat &trainData, const cv::Mat &responses, const cv::Mat &varIdx=cv::Mat(), const cv::Mat &sampleIdx=cv::Mat(), CvSVMParams params=CvSVMParams())
	CvSVM (const CvMat trainData, const CvMat responses, const CvMat varIdx=0, const CvMat sampleIdx=0, CvSVMParams params=CvSVMParams())
CV_WRAP	CvSVM ()
virtual CvSVMParams	get_params () const
virtual const float *	get_support_vector (int i) const
virtual CV_WRAP int	get_support_vector_count () const
CV_WRAP int	get_var_count () const
virtual CV_WRAP float	predict (const cv::Mat &sample, bool returnDFVal=false) const
virtual float	predict (const CvMat *sample, bool returnDFVal=false) const
virtual void	read (CvFileStorage storage, CvFileNode node)
virtual CV_WRAP 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 (const CvMat trainData, const CvMat responses, const CvMat varIdx=0, const CvMat sampleIdx=0, CvSVMParams params=CvSVMParams())
virtual CV_WRAP 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 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 void	write (CvFileStorage storage, const char name) const
virtual	~CvSVM ()
Static Public Member Functions
static CvParamGrid	get_default_grid (int param_id)
Protected Member Functions
virtual void	create_kernel ()
virtual void	create_solver ()
virtual bool	do_train (int svm_type, int sample_count, int var_count, const float *samples, const CvMat responses, CvMemStorage _storage, double alpha)
virtual float	predict (const float *row_sample, int row_len, bool returnDFVal=false) const
virtual void	read_params (CvFileStorage fs, CvFileNode node)
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 void	write_params (CvFileStorage *fs) const
Protected Attributes
CvMat *	class_labels
CvMat *	class_weights
CvSVMDecisionFunc *	decision_func
CvSVMKernel *	kernel
CvSVMParams	params
CvSVMSolver *	solver
CvMemStorage *	storage
float **	sv
int	sv_total
int	var_all
CvMat *	var_idx

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

CV_WRAP 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()`
	)

CV_WRAP 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 CV_WRAP void CvSVM::clear ( ) [virtual]

Reimplemented from CvStatModel.

virtual void CvSVM::create_kernel ( ) [protected, virtual]

virtual void CvSVM::create_solver ( ) [protected, virtual]

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

static CvParamGrid CvSVM::get_default_grid ( int param_id ) [static]

virtual CvSVMParams CvSVM::get_params ( ) const [inline, virtual]

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

virtual CV_WRAP int CvSVM::get_support_vector_count ( ) const [virtual]

CV_WRAP int CvSVM::get_var_count ( ) const [inline]

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

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

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

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

Reimplemented from CvStatModel.

virtual void CvSVM::read_params	(	CvFileStorage *	fs,
		CvFileNode *	node
	)			`[protected, virtual]`

virtual bool CvSVM::set_params ( const CvSVMParams & params ) [protected, virtual]

virtual CV_WRAP 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::train	(	const CvMat *	trainData,
		const CvMat *	responses,
		const CvMat *	varIdx = `0`,
		const CvMat *	sampleIdx = `0`,
		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
	)			`[protected, virtual]`

virtual CV_WRAP 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 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]`