Public Member Functions | Protected Attributes | List of all members

CvNormalBayesClassifier Class Reference

#include <ml.hpp>

Inheritance diagram for CvNormalBayesClassifier:

CvStatModel

Public Member Functions

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

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

virtual float predict (const CvMat *samples, CV_OUT CvMat *results=0) const

virtual void clear ()

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

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

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

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

- 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)

Protected Attributes

int var_count

int var_all

CvMat * var_idx

CvMat * cls_labels

CvMat ** count

CvMat ** sum

CvMat ** productsum

CvMat ** avg

CvMat ** inv_eigen_values

CvMat ** cov_rotate_mats

CvMat * c

- Protected Attributes inherited from CvStatModel

const char * default_model_name

Constructor & Destructor Documentation

CvNormalBayesClassifier::CvNormalBayesClassifier ( )

virtual CvNormalBayesClassifier::~CvNormalBayesClassifier ( )

virtual

CvNormalBayesClassifier::CvNormalBayesClassifier ( const CvMat * trainData,

const CvMat * responses,

const CvMat * varIdx = 0,

const CvMat * sampleIdx = 0

)

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 void CvNormalBayesClassifier::clear ( )

virtual

Reimplemented from CvStatModel.

virtual float CvNormalBayesClassifier::predict ( const CvMat * samples,

CV_OUT CvMat * results = 0

) const

virtual

virtual float CvNormalBayesClassifier::predict ( const cv::Mat & samples,

CV_OUT cv::Mat * results = 0

) const

virtual

virtual void CvNormalBayesClassifier::read ( CvFileStorage * storage,

CvFileNode * node

)

virtual

Reimplemented from CvStatModel.

virtual bool CvNormalBayesClassifier::train ( const CvMat * trainData,

const CvMat * responses,

const CvMat * varIdx = 0,

const CvMat * sampleIdx = 0,

bool update = false

)

virtual

virtual 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 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:

ml/ml.hpp