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Direct Graphical Models
v.1.7.0
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OpenCV Support Vector machine parameters. More...
#include <TrainNodeCvSVM.h>
Public Member Functions | |
TrainNodeCvSVMParams () | |
TrainNodeCvSVMParams (double C, int maxCount, double epsilon, int term_criteria_type, int maxSamples) | |
Public Attributes | |
double | C |
Parameter C of a SVM optimization problem. More... | |
int | maxCount |
The maximum number of iterations (time / accuracy) More... | |
double | epsilon |
The desired accuracy or change in parameters at which the iterative algorithm stops. More... | |
int | term_criteria_type |
Termination cirteria type (according the the two previous parameters) More... | |
size_t | maxSamples |
Maximum number of samples to be used in training. 0 means using all the samples. More... | |
OpenCV Support Vector machine parameters.
Definition at line 12 of file TrainNodeCvSVM.h.
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inline |
Definition at line 19 of file TrainNodeCvSVM.h.
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inline |
Definition at line 20 of file TrainNodeCvSVM.h.
double DirectGraphicalModels::TrainNodeCvSVMParams::C |
Parameter C of a SVM optimization problem.
Definition at line 13 of file TrainNodeCvSVM.h.
double DirectGraphicalModels::TrainNodeCvSVMParams::epsilon |
The desired accuracy or change in parameters at which the iterative algorithm stops.
Definition at line 15 of file TrainNodeCvSVM.h.
int DirectGraphicalModels::TrainNodeCvSVMParams::maxCount |
The maximum number of iterations (time / accuracy)
Definition at line 14 of file TrainNodeCvSVM.h.
size_t DirectGraphicalModels::TrainNodeCvSVMParams::maxSamples |
Maximum number of samples to be used in training. 0 means using all the samples.
Definition at line 17 of file TrainNodeCvSVM.h.
int DirectGraphicalModels::TrainNodeCvSVMParams::term_criteria_type |
Termination cirteria type (according the the two previous parameters)
Definition at line 16 of file TrainNodeCvSVM.h.