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::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
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
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 &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=SVM::getDefaultGrid(SVM::C), ParamGrid gammaGrid=SVM::getDefaultGrid(SVM::GAMMA), ParamGrid pGrid=SVM::getDefaultGrid(SVM::P), ParamGrid nuGrid=SVM::getDefaultGrid(SVM::NU), ParamGrid coeffGrid=SVM::getDefaultGrid(SVM::COEF), ParamGrid degreeGrid=SVM::getDefaultGrid(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
~Algorithm()	cv::Algorithm	virtual