OpenCV: Member List

| OpenCV 3.4.2 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) const | cv::ml::StatModel | virtual
clear() | cv::Algorithm | inlinevirtual
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_OVERRIDE | 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 &filepath, const String &nodeName=String()) | cv::ml::EM | static
loadFromString(const String &strModel, const String &objname=String()) | cv::Algorithm | inlinestatic
predict(InputArray samples, OutputArray results=noArray(), int flags=0) const CV_OVERRIDE=0 | cv::ml::EM | 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 | inlinevirtual
read(const FileNode &fn) | cv::Algorithm | inlinestatic
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 | inlinestatic
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 | inlinevirtual
write(const Ptr< FileStorage > &fs, const String &name=String()) const | cv::Algorithm |
writeFormat(FileStorage &fs) const | cv::Algorithm | protected
~Algorithm() | cv::Algorithm | virtual