cv::ml::LogisticRegression Member List

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

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(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