OpenCV  3.1.0
Open Source Computer Vision
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 valuecv::ml::LogisticRegression
calcError(const Ptr< TrainData > &data, bool test, OutputArray resp) const cv::ml::StatModelvirtual
clear()cv::Algorithminlinevirtual
COMPRESSED_INPUT enum valuecv::ml::StatModel
create()cv::ml::LogisticRegressionstatic
empty() const cv::ml::StatModelvirtual
Flags enum namecv::ml::StatModel
get_learnt_thetas() const =0cv::ml::LogisticRegressionpure virtual
getDefaultName() const cv::Algorithmvirtual
getIterations() const =0cv::ml::LogisticRegressionpure virtual
getLearningRate() const =0cv::ml::LogisticRegressionpure virtual
getMiniBatchSize() const =0cv::ml::LogisticRegressionpure virtual
getRegularization() const =0cv::ml::LogisticRegressionpure virtual
getTermCriteria() const =0cv::ml::LogisticRegressionpure virtual
getTrainMethod() const =0cv::ml::LogisticRegressionpure virtual
getVarCount() const =0cv::ml::StatModelpure virtual
isClassifier() const =0cv::ml::StatModelpure virtual
isTrained() const =0cv::ml::StatModelpure virtual
load(const String &filename, const String &objname=String())cv::Algorithminlinestatic
loadFromString(const String &strModel, const String &objname=String())cv::Algorithminlinestatic
Methods enum namecv::ml::LogisticRegression
MINI_BATCH enum valuecv::ml::LogisticRegression
predict(InputArray samples, OutputArray results=noArray(), int flags=0) const =0cv::ml::LogisticRegressionpure virtual
PREPROCESSED_INPUT enum valuecv::ml::StatModel
RAW_OUTPUT enum valuecv::ml::StatModel
read(const FileNode &fn)cv::Algorithminlinevirtual
read(const FileNode &fn)cv::Algorithminlinestatic
REG_DISABLE enum valuecv::ml::LogisticRegression
REG_L1 enum valuecv::ml::LogisticRegression
REG_L2 enum valuecv::ml::LogisticRegression
RegKinds enum namecv::ml::LogisticRegression
save(const String &filename) const cv::Algorithmvirtual
setIterations(int val)=0cv::ml::LogisticRegressionpure virtual
setLearningRate(double val)=0cv::ml::LogisticRegressionpure virtual
setMiniBatchSize(int val)=0cv::ml::LogisticRegressionpure virtual
setRegularization(int val)=0cv::ml::LogisticRegressionpure virtual
setTermCriteria(TermCriteria val)=0cv::ml::LogisticRegressionpure virtual
setTrainMethod(int val)=0cv::ml::LogisticRegressionpure virtual
train(const Ptr< TrainData > &trainData, int flags=0)cv::ml::StatModelvirtual
train(InputArray samples, int layout, InputArray responses)cv::ml::StatModelvirtual
train(const Ptr< TrainData > &data, int flags=0)cv::ml::StatModelinlinestatic
UPDATE_MODEL enum valuecv::ml::StatModel
write(FileStorage &fs) const cv::Algorithminlinevirtual
~Algorithm()cv::Algorithmvirtual