OpenCV 5.0.0-pre
Open Source Computer Vision
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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 =0 | cv::ml::SVM | pure virtual |
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)=0 | cv::ml::SVM | pure virtual |
Types enum name | cv::ml::SVM | |
UPDATE_MODEL enum value | cv::ml::StatModel | |
write(FileStorage &fs) const | cv::Algorithm | inlinevirtual |
write(FileStorage &fs, const String &name) const | cv::Algorithm | |
writeFormat(FileStorage &fs) const | cv::Algorithm | protected |
~Algorithm() | cv::Algorithm | virtual |