cv::ml::EM Member List

This is the complete list of members for cv::ml::EM, including all inherited members.

Algorithm()	cv::Algorithm
calcError(const Ptr< TrainData > &data, bool test, OutputArray resp) const	cv::ml::StatModel	virtual
clear()	cv::Algorithm	virtual
COMPRESSED_INPUT enum value	cv::ml::StatModel
COV_MAT_DEFAULT enum value	cv::ml::EM
COV_MAT_DIAGONAL enum value	cv::ml::EM
COV_MAT_GENERIC enum value	cv::ml::EM
COV_MAT_SPHERICAL enum value	cv::ml::EM
create()	cv::ml::EM	static
DEFAULT_MAX_ITERS enum value	cv::ml::EM
DEFAULT_NCLUSTERS enum value	cv::ml::EM
empty() const	cv::ml::StatModel	virtual
Flags enum name	cv::ml::StatModel
getClustersNumber() const =0	cv::ml::EM	pure virtual
getCovarianceMatrixType() const =0	cv::ml::EM	pure virtual
getCovs(std::vector< Mat > &covs) const =0	cv::ml::EM	pure virtual
getDefaultName() const	cv::Algorithm	virtual
getMeans() const =0	cv::ml::EM	pure virtual
getTermCriteria() const =0	cv::ml::EM	pure virtual
getVarCount() const =0	cv::ml::StatModel	pure virtual
getWeights() const =0	cv::ml::EM	pure virtual
isClassifier() const =0	cv::ml::StatModel	pure virtual
isTrained() const =0	cv::ml::StatModel	pure virtual
load(const String &filename, const String &objname=String())	cv::Algorithm	static
loadFromString(const String &strModel, const String &objname=String())	cv::Algorithm	static
predict(InputArray samples, OutputArray results=noArray(), int flags=0) const =0	cv::ml::StatModel	pure virtual
predict2(InputArray sample, OutputArray probs) const =0	cv::ml::EM	pure virtual
PREPROCESSED_INPUT enum value	cv::ml::StatModel
RAW_OUTPUT enum value	cv::ml::StatModel
read(const FileNode &fn)	cv::Algorithm	virtual
read(const FileNode &fn)	cv::Algorithm	static
save(const String &filename) const	cv::Algorithm	virtual
setClustersNumber(int val)=0	cv::ml::EM	pure virtual
setCovarianceMatrixType(int val)=0	cv::ml::EM	pure virtual
setTermCriteria(const TermCriteria &val)=0	cv::ml::EM	pure virtual
START_AUTO_STEP enum value	cv::ml::EM
START_E_STEP enum value	cv::ml::EM
START_M_STEP enum value	cv::ml::EM
train(const Ptr< TrainData > &trainData, int flags=0)	cv::ml::StatModel	virtual
train(InputArray samples, int layout, InputArray responses)	cv::ml::StatModel	virtual
train(const Ptr< TrainData > &data, int flags=0)	cv::ml::StatModel	static
trainE(InputArray samples, InputArray means0, InputArray covs0=noArray(), InputArray weights0=noArray(), OutputArray logLikelihoods=noArray(), OutputArray labels=noArray(), OutputArray probs=noArray())=0	cv::ml::EM	pure virtual
trainEM(InputArray samples, OutputArray logLikelihoods=noArray(), OutputArray labels=noArray(), OutputArray probs=noArray())=0	cv::ml::EM	pure virtual
trainM(InputArray samples, InputArray probs0, OutputArray logLikelihoods=noArray(), OutputArray labels=noArray(), OutputArray probs=noArray())=0	cv::ml::EM	pure virtual
Types enum name	cv::ml::EM
UPDATE_MODEL enum value	cv::ml::StatModel
write(FileStorage &fs) const	cv::Algorithm	virtual
writeFormat(FileStorage &fs) const	cv::Algorithm	protected
~Algorithm()	cv::Algorithm	virtual