CvEM Class Reference

#include <ml.hpp>

Inheritance diagram for CvEM:

List of all members.

Public Types
enum	{ COV_MAT_SPHERICAL = 0, COV_MAT_DIAGONAL = 1, COV_MAT_GENERIC = 2 }
enum	{ START_E_STEP = 1, START_M_STEP = 2, START_AUTO_STEP = 0 }
Public Member Functions
virtual CV_WRAP void	clear ()
CV_WRAP	CvEM (const cv::Mat &samples, const cv::Mat &sampleIdx=cv::Mat(), CvEMParams params=CvEMParams())
	CvEM (const CvMat *samples, const CvMat *sampleIdx=0, CvEMParams params=CvEMParams(), CvMat *labels=0)
CV_WRAP	CvEM ()
const CvMat **	get_covs () const
double	get_log_likelihood () const
const CvMat *	get_means () const
int	get_nclusters () const
const CvMat *	get_probs () const
const CvMat *	get_weights () const
CV_WRAP void	getCovs (CV_OUT std::vector< cv::Mat > &covs) const
CV_WRAP double	getLikelihood () const
CV_WRAP cv::Mat	getMeans () const
CV_WRAP int	getNClusters () const
CV_WRAP cv::Mat	getProbs () const
CV_WRAP cv::Mat	getWeights () const
virtual CV_WRAP float	predict (const cv::Mat &sample, CV_OUT cv::Mat *probs=0) const
virtual float	predict (const CvMat *sample, CV_OUT CvMat *probs) const
virtual CV_WRAP bool	train (const cv::Mat &samples, const cv::Mat &sampleIdx=cv::Mat(), CvEMParams params=CvEMParams(), CV_OUT cv::Mat *labels=0)
virtual bool	train (const CvMat *samples, const CvMat *sampleIdx=0, CvEMParams params=CvEMParams(), CvMat *labels=0)
virtual	~CvEM ()
Protected Member Functions
virtual void	init_auto (const CvVectors &samples)
virtual void	init_em (const CvVectors &train_data)
virtual void	kmeans (const CvVectors &train_data, int nclusters, CvMat *labels, CvTermCriteria criteria, const CvMat *means)
virtual double	run_em (const CvVectors &train_data)
virtual void	set_params (const CvEMParams &params, const CvVectors &train_data)
Protected Attributes
CvMat **	cov_rotate_mats
CvMat **	covs
CvMat *	inv_eigen_values
double	log_likelihood
CvMat *	log_weight_div_det
CvMat *	means
CvEMParams	params
CvMat *	probs
CvMat *	weights

---

Member Enumeration Documentation

anonymous enum

Enumerator:

COV_MAT_SPHERICAL
COV_MAT_DIAGONAL
COV_MAT_GENERIC

anonymous enum

Enumerator:

START_E_STEP
START_M_STEP
START_AUTO_STEP

---

Constructor & Destructor Documentation

CV_WRAP CvEM::CvEM

(

)

CvEM::CvEM	(	const CvMat *	samples,
		const CvMat *	sampleIdx = 0,
		CvEMParams	params = CvEMParams(),
		CvMat *	labels = 0
	)

virtual CvEM::~CvEM

(

)

[virtual]

CV_WRAP CvEM::CvEM	(	const cv::Mat &	samples,
		const cv::Mat &	sampleIdx = cv::Mat(),
		CvEMParams	params = CvEMParams()
	)

---

Member Function Documentation

virtual CV_WRAP void CvEM::clear

(

)

[virtual]

Reimplemented from CvStatModel.

const CvMat** CvEM::get_covs

(

)

const

double CvEM::get_log_likelihood

(

)

const [inline]

const CvMat* CvEM::get_means

(

)

const

int CvEM::get_nclusters

(

)

const

const CvMat* CvEM::get_probs

(

)

const

const CvMat* CvEM::get_weights

(

)

const

CV_WRAP void CvEM::getCovs

(

CV_OUT std::vector< cv::Mat > &

covs

)

const

CV_WRAP double CvEM::getLikelihood

(

)

const [inline]

CV_WRAP cv::Mat CvEM::getMeans

(

)

const

CV_WRAP int CvEM::getNClusters

(

)

const

CV_WRAP cv::Mat CvEM::getProbs

(

)

const

CV_WRAP cv::Mat CvEM::getWeights

(

)

const

virtual void CvEM::init_auto

(

const CvVectors &

samples

)

[protected, virtual]

virtual void CvEM::init_em

(

const CvVectors &

train_data

)

[protected, virtual]

virtual void CvEM::kmeans	(	const CvVectors &	train_data,
		int	nclusters,
		CvMat *	labels,
		CvTermCriteria	criteria,
		const CvMat *	means
	)			[protected, virtual]

virtual CV_WRAP float CvEM::predict	(	const cv::Mat &	sample,
		CV_OUT cv::Mat *	probs = 0
	)			const [virtual]

virtual float CvEM::predict	(	const CvMat *	sample,
		CV_OUT CvMat *	probs
	)			const [virtual]

virtual double CvEM::run_em

(

const CvVectors &

train_data

)

[protected, virtual]

virtual void CvEM::set_params	(	const CvEMParams &	params,
		const CvVectors &	train_data
	)			[protected, virtual]

virtual CV_WRAP bool CvEM::train	(	const cv::Mat &	samples,
		const cv::Mat &	sampleIdx = cv::Mat(),
		CvEMParams	params = CvEMParams(),
		CV_OUT cv::Mat *	labels = 0
	)			[virtual]

virtual bool CvEM::train	(	const CvMat *	samples,
		const CvMat *	sampleIdx = 0,
		CvEMParams	params = CvEMParams(),
		CvMat *	labels = 0
	)			[virtual]

---

Member Data Documentation

CvMat** CvEM::cov_rotate_mats [protected]

CvMat** CvEM::covs [protected]

CvMat* CvEM::inv_eigen_values [protected]

double CvEM::log_likelihood [protected]

CvMat* CvEM::log_weight_div_det [protected]

CvMat* CvEM::means [protected]

CvEMParams CvEM::params [protected]

CvMat* CvEM::probs [protected]

CvMat* CvEM::weights [protected]

---

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

• /home/grier/opencv/opencv/modules/ml/include/opencv2/ml/ml.hpp