cv::ml::SVMSGD Member List

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

Algorithm()	cv::Algorithm
ASGD enum value	cv::ml::SVMSGD
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
create()	cv::ml::SVMSGD	static
empty() const CV_OVERRIDE	cv::ml::StatModel	virtual
Flags enum name	cv::ml::StatModel
getDefaultName() const	cv::Algorithm	virtual
getInitialStepSize() const =0	cv::ml::SVMSGD	pure virtual
getMarginRegularization() const =0	cv::ml::SVMSGD	pure virtual
getMarginType() const =0	cv::ml::SVMSGD	pure virtual
getShift()=0	cv::ml::SVMSGD	pure virtual
getStepDecreasingPower() const =0	cv::ml::SVMSGD	pure virtual
getSvmsgdType() const =0	cv::ml::SVMSGD	pure virtual
getTermCriteria() const =0	cv::ml::SVMSGD	pure virtual
getVarCount() const =0	cv::ml::StatModel	pure virtual
getWeights()=0	cv::ml::SVMSGD	pure virtual
HARD_MARGIN enum value	cv::ml::SVMSGD
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::SVMSGD	static
loadFromString(const String &strModel, const String &objname=String())	cv::Algorithm	inlinestatic
MarginType enum name	cv::ml::SVMSGD
predict(InputArray samples, OutputArray results=noArray(), int flags=0) const =0	cv::ml::StatModel	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
setInitialStepSize(float InitialStepSize)=0	cv::ml::SVMSGD	pure virtual
setMarginRegularization(float marginRegularization)=0	cv::ml::SVMSGD	pure virtual
setMarginType(int marginType)=0	cv::ml::SVMSGD	pure virtual
setOptimalParameters(int svmsgdType=SVMSGD::ASGD, int marginType=SVMSGD::SOFT_MARGIN)=0	cv::ml::SVMSGD	pure virtual
setStepDecreasingPower(float stepDecreasingPower)=0	cv::ml::SVMSGD	pure virtual
setSvmsgdType(int svmsgdType)=0	cv::ml::SVMSGD	pure virtual
setTermCriteria(const cv::TermCriteria &val)=0	cv::ml::SVMSGD	pure virtual
SGD enum value	cv::ml::SVMSGD
SOFT_MARGIN enum value	cv::ml::SVMSGD
SvmsgdType enum name	cv::ml::SVMSGD
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
UPDATE_MODEL enum value	cv::ml::StatModel
write(FileStorage &fs) const	cv::Algorithm	inlinevirtual
write(FileStorage &fs, const String &name) const	cv::Algorithm
write(const Ptr< FileStorage > &fs, const String &name=String()) const	cv::Algorithm
writeFormat(FileStorage &fs) const	cv::Algorithm	protected
~Algorithm()	cv::Algorithm	virtual