#include <ml.hpp>
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 |
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() | |||
) |
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.
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] |