OpenCV: Member List

| OpenCV 3.4.2 Open Source Computer Vision

cv::ml::SVM Member List

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

Algorithm() | cv::Algorithm |
C enum value | cv::ml::SVM |
C_SVC enum value | cv::ml::SVM |
calcError(const Ptr< TrainData > &data, bool test, OutputArray resp) const | cv::ml::StatModel | virtual
CHI2 enum value | cv::ml::SVM |
clear() | cv::Algorithm | inlinevirtual
COEF enum value | cv::ml::SVM |
COMPRESSED_INPUT enum value | cv::ml::StatModel |
create() | cv::ml::SVM | static
CUSTOM enum value | cv::ml::SVM |
DEGREE enum value | cv::ml::SVM |
empty() const CV_OVERRIDE | cv::ml::StatModel | virtual
EPS_SVR enum value | cv::ml::SVM |
Flags enum name | cv::ml::StatModel |
GAMMA enum value | cv::ml::SVM |
getC() const =0 | cv::ml::SVM | pure virtual
getClassWeights() const =0 | cv::ml::SVM | pure virtual
getCoef0() const =0 | cv::ml::SVM | pure virtual
getDecisionFunction(int i, OutputArray alpha, OutputArray svidx) const =0 | cv::ml::SVM | pure virtual
getDefaultGrid(int param_id) | cv::ml::SVM | static
getDefaultGridPtr(int param_id) | cv::ml::SVM | static
getDefaultName() const | cv::Algorithm | virtual
getDegree() const =0 | cv::ml::SVM | pure virtual
getGamma() const =0 | cv::ml::SVM | pure virtual
getKernelType() const =0 | cv::ml::SVM | pure virtual
getNu() const =0 | cv::ml::SVM | pure virtual
getP() const =0 | cv::ml::SVM | pure virtual
getSupportVectors() const =0 | cv::ml::SVM | pure virtual
getTermCriteria() const =0 | cv::ml::SVM | pure virtual
getType() const =0 | cv::ml::SVM | pure virtual
getUncompressedSupportVectors() const | cv::ml::SVM |
getVarCount() const =0 | cv::ml::StatModel | pure virtual
INTER enum value | cv::ml::SVM |
isClassifier() const =0 | cv::ml::StatModel | pure virtual
isTrained() const =0 | cv::ml::StatModel | pure virtual
KernelTypes enum name | cv::ml::SVM |
LINEAR enum value | cv::ml::SVM |
load(const String &filepath) | cv::ml::SVM | static
cv::ml::StatModel::load(const String &filename, const String &objname=String()) | cv::Algorithm | inlinestatic
loadFromString(const String &strModel, const String &objname=String()) | cv::Algorithm | inlinestatic
NU enum value | cv::ml::SVM |
NU_SVC enum value | cv::ml::SVM |
NU_SVR enum value | cv::ml::SVM |
ONE_CLASS enum value | cv::ml::SVM |
P enum value | cv::ml::SVM |
ParamTypes enum name | cv::ml::SVM |
POLY enum value | cv::ml::SVM |
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 |
RBF enum value | cv::ml::SVM |
read(const FileNode &fn) | cv::Algorithm | inlinevirtual
read(const FileNode &fn) | cv::Algorithm | inlinestatic
save(const String &filename) const | cv::Algorithm | virtual
setC(double val)=0 | cv::ml::SVM | pure virtual
setClassWeights(const cv::Mat &val)=0 | cv::ml::SVM | pure virtual
setCoef0(double val)=0 | cv::ml::SVM | pure virtual
setCustomKernel(const Ptr< Kernel > &_kernel)=0 | cv::ml::SVM | pure virtual
setDegree(double val)=0 | cv::ml::SVM | pure virtual
setGamma(double val)=0 | cv::ml::SVM | pure virtual
setKernel(int kernelType)=0 | cv::ml::SVM | pure virtual
setNu(double val)=0 | cv::ml::SVM | pure virtual
setP(double val)=0 | cv::ml::SVM | pure virtual
setTermCriteria(const cv::TermCriteria &val)=0 | cv::ml::SVM | pure virtual
setType(int val)=0 | cv::ml::SVM | pure virtual
SIGMOID enum value | cv::ml::SVM |
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
trainAuto(const Ptr< TrainData > &data, int kFold=10, ParamGrid Cgrid=getDefaultGrid(C), ParamGrid gammaGrid=getDefaultGrid(GAMMA), ParamGrid pGrid=getDefaultGrid(P), ParamGrid nuGrid=getDefaultGrid(NU), ParamGrid coeffGrid=getDefaultGrid(COEF), ParamGrid degreeGrid=getDefaultGrid(DEGREE), bool balanced=false)=0 | cv::ml::SVM | pure virtual
trainAuto(InputArray samples, int layout, InputArray responses, int kFold=10, Ptr< ParamGrid > Cgrid=SVM::getDefaultGridPtr(SVM::C), Ptr< ParamGrid > gammaGrid=SVM::getDefaultGridPtr(SVM::GAMMA), Ptr< ParamGrid > pGrid=SVM::getDefaultGridPtr(SVM::P), Ptr< ParamGrid > nuGrid=SVM::getDefaultGridPtr(SVM::NU), Ptr< ParamGrid > coeffGrid=SVM::getDefaultGridPtr(SVM::COEF), Ptr< ParamGrid > degreeGrid=SVM::getDefaultGridPtr(SVM::DEGREE), bool balanced=false) | cv::ml::SVM |
Types enum name | cv::ml::SVM |
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