Algorithm() | cv::Algorithm | |
BATCH enum value | cv::ml::LogisticRegression | |
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::LogisticRegression | static |
empty() const CV_OVERRIDE | cv::ml::StatModel | virtual |
Flags enum name | cv::ml::StatModel | |
get_learnt_thetas() const =0 | cv::ml::LogisticRegression | pure virtual |
getDefaultName() const | cv::Algorithm | virtual |
getIterations() const =0 | cv::ml::LogisticRegression | pure virtual |
getLearningRate() const =0 | cv::ml::LogisticRegression | pure virtual |
getMiniBatchSize() const =0 | cv::ml::LogisticRegression | pure virtual |
getRegularization() const =0 | cv::ml::LogisticRegression | pure virtual |
getTermCriteria() const =0 | cv::ml::LogisticRegression | pure virtual |
getTrainMethod() const =0 | cv::ml::LogisticRegression | pure virtual |
getVarCount() const =0 | cv::ml::StatModel | 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::LogisticRegression | static |
loadFromString(const String &strModel, const String &objname=String()) | cv::Algorithm | inlinestatic |
Methods enum name | cv::ml::LogisticRegression | |
MINI_BATCH enum value | cv::ml::LogisticRegression | |
predict(InputArray samples, OutputArray results=noArray(), int flags=0) const CV_OVERRIDE=0 | cv::ml::LogisticRegression | 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 |
REG_DISABLE enum value | cv::ml::LogisticRegression | |
REG_L1 enum value | cv::ml::LogisticRegression | |
REG_L2 enum value | cv::ml::LogisticRegression | |
RegKinds enum name | cv::ml::LogisticRegression | |
save(const String &filename) const | cv::Algorithm | virtual |
setIterations(int val)=0 | cv::ml::LogisticRegression | pure virtual |
setLearningRate(double val)=0 | cv::ml::LogisticRegression | pure virtual |
setMiniBatchSize(int val)=0 | cv::ml::LogisticRegression | pure virtual |
setRegularization(int val)=0 | cv::ml::LogisticRegression | pure virtual |
setTermCriteria(TermCriteria val)=0 | cv::ml::LogisticRegression | pure virtual |
setTrainMethod(int val)=0 | cv::ml::LogisticRegression | pure virtual |
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(const Ptr< FileStorage > &fs, const String &name=String()) const | cv::Algorithm | |
writeFormat(FileStorage &fs) const | cv::Algorithm | protected |
~Algorithm() | cv::Algorithm | virtual |