CvNormalBayesClassifier Class Reference

#include <ml.hpp>

Inheritance diagram for CvNormalBayesClassifier:

List of all members.

Public Member Functions
virtual CV_WRAP void	clear ()
CV_WRAP	CvNormalBayesClassifier (const cv::Mat &trainData, const cv::Mat &responses, const cv::Mat &varIdx=cv::Mat(), const cv::Mat &sampleIdx=cv::Mat())
	CvNormalBayesClassifier (const CvMat *trainData, const CvMat *responses, const CvMat *varIdx=0, const CvMat *sampleIdx=0)
CV_WRAP	CvNormalBayesClassifier ()
virtual CV_WRAP float	predict (const cv::Mat &samples, CV_OUT cv::Mat *results=0) const
virtual float	predict (const CvMat *samples, CV_OUT CvMat *results=0) 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(), bool update=false)
virtual bool	train (const CvMat *trainData, const CvMat *responses, const CvMat *varIdx=0, const CvMat *sampleIdx=0, bool update=false)
virtual void	write (CvFileStorage *storage, const char *name) const
virtual	~CvNormalBayesClassifier ()
Protected Attributes
CvMat **	avg
CvMat *	c
CvMat *	cls_labels
CvMat **	count
CvMat **	cov_rotate_mats
CvMat **	inv_eigen_values
CvMat **	productsum
CvMat **	sum
int	var_all
int	var_count
CvMat *	var_idx

---

Constructor & Destructor Documentation

CV_WRAP CvNormalBayesClassifier::CvNormalBayesClassifier

(

)

virtual CvNormalBayesClassifier::~CvNormalBayesClassifier

(

)

[virtual]

CvNormalBayesClassifier::CvNormalBayesClassifier	(	const CvMat *	trainData,
		const CvMat *	responses,
		const CvMat *	varIdx = 0,
		const CvMat *	sampleIdx = 0
	)

CV_WRAP CvNormalBayesClassifier::CvNormalBayesClassifier	(	const cv::Mat &	trainData,
		const cv::Mat &	responses,
		const cv::Mat &	varIdx = cv::Mat(),
		const cv::Mat &	sampleIdx = cv::Mat()
	)

---

Member Function Documentation

virtual CV_WRAP void CvNormalBayesClassifier::clear

(

)

[virtual]

Reimplemented from CvStatModel.

virtual CV_WRAP float CvNormalBayesClassifier::predict	(	const cv::Mat &	samples,
		CV_OUT cv::Mat *	results = 0
	)			const [virtual]

virtual float CvNormalBayesClassifier::predict	(	const CvMat *	samples,
		CV_OUT CvMat *	results = 0
	)			const [virtual]

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

Reimplemented from CvStatModel.

virtual CV_WRAP bool CvNormalBayesClassifier::train	(	const cv::Mat &	trainData,
		const cv::Mat &	responses,
		const cv::Mat &	varIdx = cv::Mat(),
		const cv::Mat &	sampleIdx = cv::Mat(),
		bool	update = false
	)			[virtual]

virtual bool CvNormalBayesClassifier::train	(	const CvMat *	trainData,
		const CvMat *	responses,
		const CvMat *	varIdx = 0,
		const CvMat *	sampleIdx = 0,
		bool	update = false
	)			[virtual]

virtual void CvNormalBayesClassifier::write	(	CvFileStorage *	storage,
		const char *	name
	)			const [virtual]

Reimplemented from CvStatModel.

---

Member Data Documentation

CvMat** CvNormalBayesClassifier::avg [protected]

CvMat* CvNormalBayesClassifier::c [protected]

CvMat* CvNormalBayesClassifier::cls_labels [protected]

CvMat** CvNormalBayesClassifier::count [protected]

CvMat** CvNormalBayesClassifier::cov_rotate_mats [protected]

CvMat** CvNormalBayesClassifier::inv_eigen_values [protected]

CvMat** CvNormalBayesClassifier::productsum [protected]

CvMat** CvNormalBayesClassifier::sum [protected]

int CvNormalBayesClassifier::var_all [protected]

int CvNormalBayesClassifier::var_count [protected]

CvMat* CvNormalBayesClassifier::var_idx [protected]

---

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

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