OpenCV
Open Source Computer Vision
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The structure represents the logarithmic grid range of statmodel parameters. More...
#include <opencv2/ml.hpp>
Public Member Functions | |
ParamGrid () | |
Default constructor. More... | |
ParamGrid (double _minVal, double _maxVal, double _logStep) | |
Constructor with parameters. More... | |
Static Public Member Functions | |
static Ptr< ParamGrid > | create (double minVal=0., double maxVal=0., double logstep=1.) |
Creates a ParamGrid Ptr that can be given to the SVM::trainAuto method. More... | |
Public Attributes | |
double | logStep |
Logarithmic step for iterating the statmodel parameter. More... | |
double | maxVal |
Maximum value of the statmodel parameter. Default value is 0. More... | |
double | minVal |
Minimum value of the statmodel parameter. Default value is 0. More... | |
The structure represents the logarithmic grid range of statmodel parameters.
It is used for optimizing statmodel accuracy by varying model parameters, the accuracy estimate being computed by cross-validation.
cv::ml::ParamGrid::ParamGrid | ( | ) |
Default constructor.
cv::ml::ParamGrid::ParamGrid | ( | double | _minVal, |
double | _maxVal, | ||
double | _logStep | ||
) |
Constructor with parameters.
double cv::ml::ParamGrid::logStep |
Logarithmic step for iterating the statmodel parameter.
The grid determines the following iteration sequence of the statmodel parameter values:
(minVal, minVal*step, minVal*{step}^2, \dots, minVal*{logStep}^n),
where n is the maximal index satisfying
\texttt{minVal} * \texttt{logStep} ^n < \texttt{maxVal}
The grid is logarithmic, so logStep must always be greater than 1. Default value is 1.
double cv::ml::ParamGrid::maxVal |
Maximum value of the statmodel parameter. Default value is 0.
double cv::ml::ParamGrid::minVal |
Minimum value of the statmodel parameter. Default value is 0.