OpenCV
3.4.19
Open Source Computer Vision
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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 |