This is the complete list of members for cv::ocl::CvSVM_OCL, including all inherited members.
| C enum value | CvSVM | |
| C_SVC enum value | CvSVM | |
| class_labels | CvSVM | protected |
| class_weights | CvSVM | protected |
| clear() | CvSVM | virtual |
| COEF enum value | CvSVM | |
| create_kernel() | cv::ocl::CvSVM_OCL | protectedvirtual |
| create_solver() | cv::ocl::CvSVM_OCL | protectedvirtual |
| CvStatModel() | CvStatModel | |
| CvSVM() | CvSVM | |
| CvSVM(const CvMat *trainData, const CvMat *responses, const CvMat *varIdx=0, const CvMat *sampleIdx=0, CvSVMParams params=CvSVMParams()) | CvSVM | |
| CvSVM(const cv::Mat &trainData, const cv::Mat &responses, const cv::Mat &varIdx=cv::Mat(), const cv::Mat &sampleIdx=cv::Mat(), CvSVMParams params=CvSVMParams()) | CvSVM | |
| CvSVM_OCL() | cv::ocl::CvSVM_OCL | |
| CvSVM_OCL(const cv::Mat &trainData, const cv::Mat &responses, const cv::Mat &varIdx=cv::Mat(), const cv::Mat &sampleIdx=cv::Mat(), CvSVMParams params=CvSVMParams()) | cv::ocl::CvSVM_OCL | |
| decision_func | CvSVM | protected |
| default_model_name | CvStatModel | protected |
| DEGREE enum value | CvSVM | |
| do_train(int svm_type, int sample_count, int var_count, const float **samples, const CvMat *responses, CvMemStorage *_storage, double *alpha) | CvSVM | protectedvirtual |
| EPS_SVR enum value | CvSVM | |
| GAMMA enum value | CvSVM | |
| get_default_grid(int param_id) | CvSVM | static |
| get_params() const | CvSVM | inlinevirtual |
| get_support_vector(int i) const | CvSVM | virtual |
| get_support_vector_count() const | CvSVM | virtual |
| get_var_count() const | CvSVM | inline |
| kernel | CvSVM | protected |
| LINEAR enum value | CvSVM | |
| load(const char *filename, const char *name=0) | CvStatModel | virtual |
| NU enum value | CvSVM | |
| NU_SVC enum value | CvSVM | |
| NU_SVR enum value | CvSVM | |
| ONE_CLASS enum value | CvSVM | |
| optimize_linear_svm() | CvSVM | protected |
| P enum value | CvSVM | |
| params | CvSVM | protected |
| POLY enum value | CvSVM | |
| predict(const int row_index, Mat &src, bool returnDFVal=false) const | cv::ocl::CvSVM_OCL | |
| predict(cv::InputArray samples, cv::OutputArray results) const | cv::ocl::CvSVM_OCL | |
| predict(const cv::Mat &sample, bool returnDFVal=false) const | cv::ocl::CvSVM_OCL | virtual |
| predict(const CvMat *samples, CV_OUT CvMat *results) const | cv::ocl::CvSVM_OCL | virtual |
| predict(const int row_index, int row_len, Mat &src, bool returnDFVal=false) const | cv::ocl::CvSVM_OCL | protected |
| CvSVM::predict(const CvMat *sample, bool returnDFVal=false) const | CvSVM | virtual |
| CvSVM::predict(const float *row_sample, int row_len, bool returnDFVal=false) const | CvSVM | protectedvirtual |
| RBF enum value | CvSVM | |
| read(CvFileStorage *storage, CvFileNode *node) | CvSVM | virtual |
| read_params(CvFileStorage *fs, CvFileNode *node) | CvSVM | protectedvirtual |
| save(const char *filename, const char *name=0) const | CvStatModel | virtual |
| set_params(const CvSVMParams ¶ms) | CvSVM | protectedvirtual |
| SIGMOID enum value | CvSVM | |
| solver | CvSVM | protected |
| storage | CvSVM | protected |
| sv | CvSVM | protected |
| sv_total | CvSVM | protected |
| train(const CvMat *trainData, const CvMat *responses, const CvMat *varIdx=0, const CvMat *sampleIdx=0, CvSVMParams params=CvSVMParams()) | CvSVM | virtual |
| train(const cv::Mat &trainData, const cv::Mat &responses, const cv::Mat &varIdx=cv::Mat(), const cv::Mat &sampleIdx=cv::Mat(), CvSVMParams params=CvSVMParams()) | CvSVM | virtual |
| train1(int sample_count, int var_count, const float **samples, const void *responses, double Cp, double Cn, CvMemStorage *_storage, double *alpha, double &rho) | CvSVM | protectedvirtual |
| train_auto(const CvMat *trainData, const CvMat *responses, const CvMat *varIdx, const CvMat *sampleIdx, CvSVMParams params, int kfold=10, CvParamGrid Cgrid=get_default_grid(CvSVM::C), CvParamGrid gammaGrid=get_default_grid(CvSVM::GAMMA), CvParamGrid pGrid=get_default_grid(CvSVM::P), CvParamGrid nuGrid=get_default_grid(CvSVM::NU), CvParamGrid coeffGrid=get_default_grid(CvSVM::COEF), CvParamGrid degreeGrid=get_default_grid(CvSVM::DEGREE), bool balanced=false) | CvSVM | virtual |
| train_auto(const cv::Mat &trainData, const cv::Mat &responses, const cv::Mat &varIdx, const cv::Mat &sampleIdx, CvSVMParams params, int k_fold=10, CvParamGrid Cgrid=CvSVM::get_default_grid(CvSVM::C), CvParamGrid gammaGrid=CvSVM::get_default_grid(CvSVM::GAMMA), CvParamGrid pGrid=CvSVM::get_default_grid(CvSVM::P), CvParamGrid nuGrid=CvSVM::get_default_grid(CvSVM::NU), CvParamGrid coeffGrid=CvSVM::get_default_grid(CvSVM::COEF), CvParamGrid degreeGrid=CvSVM::get_default_grid(CvSVM::DEGREE), bool balanced=false) | CvSVM | virtual |
| var_all | CvSVM | protected |
| var_idx | CvSVM | protected |
| write(CvFileStorage *storage, const char *name) const | CvSVM | virtual |
| write_params(CvFileStorage *fs) const | CvSVM | protectedvirtual |
| ~CvStatModel() | CvStatModel | virtual |
| ~CvSVM() | CvSVM | virtual |