#include <ml.hpp>
Public Types | |
enum | { C_SVC =100, NU_SVC =101, ONE_CLASS =102, EPS_SVR =103, NU_SVR =104 } |
enum | { LINEAR =0, POLY =1, RBF =2, SIGMOID =3 } |
enum | { C =0, GAMMA =1, P =2, NU =3, COEF =4, DEGREE =5 } |
Public Member Functions | |
CvSVM () | |
virtual | ~CvSVM () |
CvSVM (const CvMat *trainData, const CvMat *responses, const CvMat *varIdx=0, const CvMat *sampleIdx=0, CvSVMParams params=CvSVMParams()) | |
virtual bool | train (const CvMat *trainData, const CvMat *responses, const CvMat *varIdx=0, const CvMat *sampleIdx=0, CvSVMParams params=CvSVMParams()) |
virtual bool | 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) |
virtual float | predict (const CvMat *sample, bool returnDFVal=false) const |
virtual float | predict (const CvMat *samples, CV_OUT CvMat *results) const |
CvSVM (const cv::Mat &trainData, const cv::Mat &responses, const cv::Mat &varIdx=cv::Mat(), const cv::Mat &sampleIdx=cv::Mat(), CvSVMParams params=CvSVMParams()) | |
virtual bool | train (const cv::Mat &trainData, const cv::Mat &responses, const cv::Mat &varIdx=cv::Mat(), const cv::Mat &sampleIdx=cv::Mat(), CvSVMParams params=CvSVMParams()) |
virtual bool | 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) |
virtual float | predict (const cv::Mat &sample, bool returnDFVal=false) const |
void | predict (cv::InputArray samples, cv::OutputArray results) const |
virtual int | get_support_vector_count () const |
virtual const float * | get_support_vector (int i) const |
virtual CvSVMParams | get_params () const |
virtual void | clear () |
virtual void | write (CvFileStorage *storage, const char *name) const |
virtual void | read (CvFileStorage *storage, CvFileNode *node) |
int | get_var_count () const |
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CvStatModel () | |
virtual | ~CvStatModel () |
virtual void | save (const char *filename, const char *name=0) const |
virtual void | load (const char *filename, const char *name=0) |
Static Public Member Functions | |
static CvParamGrid | get_default_grid (int param_id) |
Protected Member Functions | |
virtual bool | set_params (const CvSVMParams ¶ms) |
virtual bool | train1 (int sample_count, int var_count, const float **samples, const void *responses, double Cp, double Cn, CvMemStorage *_storage, double *alpha, double &rho) |
virtual bool | do_train (int svm_type, int sample_count, int var_count, const float **samples, const CvMat *responses, CvMemStorage *_storage, double *alpha) |
virtual void | create_kernel () |
virtual void | create_solver () |
virtual float | predict (const float *row_sample, int row_len, bool returnDFVal=false) const |
virtual void | write_params (CvFileStorage *fs) const |
virtual void | read_params (CvFileStorage *fs, CvFileNode *node) |
void | optimize_linear_svm () |
Protected Attributes | |
CvSVMParams | params |
CvMat * | class_labels |
int | var_all |
float ** | sv |
int | sv_total |
CvMat * | var_idx |
CvMat * | class_weights |
CvSVMDecisionFunc * | decision_func |
CvMemStorage * | storage |
CvSVMSolver * | solver |
CvSVMKernel * | kernel |
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const char * | default_model_name |
CvSVM::CvSVM | ( | ) |
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CvSVM::CvSVM | ( | const CvMat * | trainData, |
const CvMat * | responses, | ||
const CvMat * | varIdx = 0 , |
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const CvMat * | sampleIdx = 0 , |
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CvSVMParams | params = CvSVMParams() |
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CvSVM::CvSVM | ( | const cv::Mat & | trainData, |
const cv::Mat & | responses, | ||
const cv::Mat & | varIdx = cv::Mat() , |
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const cv::Mat & | sampleIdx = cv::Mat() , |
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CvSVMParams | params = CvSVMParams() |
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Reimplemented from CvStatModel.
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Reimplemented in cv::ocl::CvSVM_OCL.
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Reimplemented in cv::ocl::CvSVM_OCL.
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Reimplemented in cv::ocl::CvSVM_OCL.
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Reimplemented in cv::ocl::CvSVM_OCL.
void CvSVM::predict | ( | cv::InputArray | samples, |
cv::OutputArray | results | ||
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