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 |