OpenCV  3.1.0
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 valuecv::ml::SVM
C_SVC enum valuecv::ml::SVM
calcError(const Ptr< TrainData > &data, bool test, OutputArray resp) const cv::ml::StatModelvirtual
CHI2 enum valuecv::ml::SVM
clear()cv::Algorithminlinevirtual
COEF enum valuecv::ml::SVM
COMPRESSED_INPUT enum valuecv::ml::StatModel
create()cv::ml::SVMstatic
CUSTOM enum valuecv::ml::SVM
DEGREE enum valuecv::ml::SVM
empty() const cv::ml::StatModelvirtual
EPS_SVR enum valuecv::ml::SVM
Flags enum namecv::ml::StatModel
GAMMA enum valuecv::ml::SVM
getC() const =0cv::ml::SVMpure virtual
getClassWeights() const =0cv::ml::SVMpure virtual
getCoef0() const =0cv::ml::SVMpure virtual
getDecisionFunction(int i, OutputArray alpha, OutputArray svidx) const =0cv::ml::SVMpure virtual
getDefaultGrid(int param_id)cv::ml::SVMstatic
getDefaultName() const cv::Algorithmvirtual
getDegree() const =0cv::ml::SVMpure virtual
getGamma() const =0cv::ml::SVMpure virtual
getKernelType() const =0cv::ml::SVMpure virtual
getNu() const =0cv::ml::SVMpure virtual
getP() const =0cv::ml::SVMpure virtual
getSupportVectors() const =0cv::ml::SVMpure virtual
getTermCriteria() const =0cv::ml::SVMpure virtual
getType() const =0cv::ml::SVMpure virtual
getUncompressedSupportVectors() const cv::ml::SVM
getVarCount() const =0cv::ml::StatModelpure virtual
INTER enum valuecv::ml::SVM
isClassifier() const =0cv::ml::StatModelpure virtual
isTrained() const =0cv::ml::StatModelpure virtual
KernelTypes enum namecv::ml::SVM
LINEAR enum valuecv::ml::SVM
load(const String &filename, const String &objname=String())cv::Algorithminlinestatic
loadFromString(const String &strModel, const String &objname=String())cv::Algorithminlinestatic
NU enum valuecv::ml::SVM
NU_SVC enum valuecv::ml::SVM
NU_SVR enum valuecv::ml::SVM
ONE_CLASS enum valuecv::ml::SVM
P enum valuecv::ml::SVM
ParamTypes enum namecv::ml::SVM
POLY enum valuecv::ml::SVM
predict(InputArray samples, OutputArray results=noArray(), int flags=0) const =0cv::ml::StatModelpure virtual
PREPROCESSED_INPUT enum valuecv::ml::StatModel
RAW_OUTPUT enum valuecv::ml::StatModel
RBF enum valuecv::ml::SVM
read(const FileNode &fn)cv::Algorithminlinevirtual
read(const FileNode &fn)cv::Algorithminlinestatic
save(const String &filename) const cv::Algorithmvirtual
setC(double val)=0cv::ml::SVMpure virtual
setClassWeights(const cv::Mat &val)=0cv::ml::SVMpure virtual
setCoef0(double val)=0cv::ml::SVMpure virtual
setCustomKernel(const Ptr< Kernel > &_kernel)=0cv::ml::SVMpure virtual
setDegree(double val)=0cv::ml::SVMpure virtual
setGamma(double val)=0cv::ml::SVMpure virtual
setKernel(int kernelType)=0cv::ml::SVMpure virtual
setNu(double val)=0cv::ml::SVMpure virtual
setP(double val)=0cv::ml::SVMpure virtual
setTermCriteria(const cv::TermCriteria &val)=0cv::ml::SVMpure virtual
setType(int val)=0cv::ml::SVMpure virtual
SIGMOID enum valuecv::ml::SVM
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
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)=0cv::ml::SVMpure virtual
Types enum namecv::ml::SVM
UPDATE_MODEL enum valuecv::ml::StatModel
write(FileStorage &fs) const cv::Algorithminlinevirtual
~Algorithm()cv::Algorithmvirtual