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OpenCV
3.4.20
Open Source Computer Vision
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OpenCV
3.4.20
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 | 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(FileStorage &fs, const String &name) const | cv::Algorithm | |
| write(const Ptr< FileStorage > &fs, const String &name=String()) const | cv::Algorithm | |
| writeFormat(FileStorage &fs) const | cv::Algorithm | protected |
| ~Algorithm() | cv::Algorithm | virtual |
1.8.13