OpenCV  3.3.0-dev
Open Source Computer Vision
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) constcv::ml::StatModelvirtual
clear()cv::Algorithminlinevirtual
COMPRESSED_INPUT enum valuecv::ml::StatModel
COV_MAT_DEFAULT enum valuecv::ml::EM
COV_MAT_DIAGONAL enum valuecv::ml::EM
COV_MAT_GENERIC enum valuecv::ml::EM
COV_MAT_SPHERICAL enum valuecv::ml::EM
create()cv::ml::EMstatic
DEFAULT_MAX_ITERS enum valuecv::ml::EM
DEFAULT_NCLUSTERS enum valuecv::ml::EM
empty() constcv::ml::StatModelvirtual
Flags enum namecv::ml::StatModel
getClustersNumber() const =0cv::ml::EMpure virtual
getCovarianceMatrixType() const =0cv::ml::EMpure virtual
getCovs(std::vector< Mat > &covs) const =0cv::ml::EMpure virtual
getDefaultName() constcv::Algorithmvirtual
getMeans() const =0cv::ml::EMpure virtual
getTermCriteria() const =0cv::ml::EMpure virtual
getVarCount() const =0cv::ml::StatModelpure virtual
getWeights() const =0cv::ml::EMpure virtual
isClassifier() const =0cv::ml::StatModelpure virtual
isTrained() const =0cv::ml::StatModelpure virtual
load(const String &filepath, const String &nodeName=String())cv::ml::EMstatic
loadFromString(const String &strModel, const String &objname=String())cv::Algorithminlinestatic
predict(InputArray samples, OutputArray results=noArray(), int flags=0) const =0cv::ml::EMpure virtual
predict2(InputArray sample, OutputArray probs) const =0cv::ml::EMpure virtual
PREPROCESSED_INPUT enum valuecv::ml::StatModel
RAW_OUTPUT enum valuecv::ml::StatModel
read(const FileNode &fn)cv::Algorithminlinevirtual
read(const FileNode &fn)cv::Algorithminlinestatic
save(const String &filename) constcv::Algorithmvirtual
setClustersNumber(int val)=0cv::ml::EMpure virtual
setCovarianceMatrixType(int val)=0cv::ml::EMpure virtual
setTermCriteria(const TermCriteria &val)=0cv::ml::EMpure virtual
START_AUTO_STEP enum valuecv::ml::EM
START_E_STEP enum valuecv::ml::EM
START_M_STEP enum valuecv::ml::EM
train(const Ptr< TrainData > &trainData, int flags=0)cv::ml::StatModelvirtual
train(InputArray samples, int layout, InputArray responses)cv::ml::StatModelvirtual
train(const Ptr< TrainData > &data, int flags=0)cv::ml::StatModelinlinestatic
trainE(InputArray samples, InputArray means0, InputArray covs0=noArray(), InputArray weights0=noArray(), OutputArray logLikelihoods=noArray(), OutputArray labels=noArray(), OutputArray probs=noArray())=0cv::ml::EMpure virtual
trainEM(InputArray samples, OutputArray logLikelihoods=noArray(), OutputArray labels=noArray(), OutputArray probs=noArray())=0cv::ml::EMpure virtual
trainM(InputArray samples, InputArray probs0, OutputArray logLikelihoods=noArray(), OutputArray labels=noArray(), OutputArray probs=noArray())=0cv::ml::EMpure virtual
Types enum namecv::ml::EM
UPDATE_MODEL enum valuecv::ml::StatModel
write(FileStorage &fs) constcv::Algorithminlinevirtual
writeFormat(FileStorage &fs) constcv::Algorithmprotected
~Algorithm()cv::Algorithmvirtual