OpenCV  4.1.2-dev
Open Source Computer Vision
Public Member Functions | Static Public Member Functions | Public Attributes | List of all members
cv::ml::ParamGrid Class Reference

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< ParamGridcreate (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...
 

Detailed Description

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.

Constructor & Destructor Documentation

§ ParamGrid() [1/2]

cv::ml::ParamGrid::ParamGrid ( )

Default constructor.

§ ParamGrid() [2/2]

cv::ml::ParamGrid::ParamGrid ( double  _minVal,
double  _maxVal,
double  _logStep 
)

Constructor with parameters.

Member Function Documentation

§ create()

static Ptr<ParamGrid> cv::ml::ParamGrid::create ( double  minVal = 0.,
double  maxVal = 0.,
double  logstep = 1. 
)
static
Python:
retval=cv.ml.ParamGrid_create([, minVal[, maxVal[, logstep]]])

Creates a ParamGrid Ptr that can be given to the SVM::trainAuto method.

Parameters
minValminimum value of the parameter grid
maxValmaximum value of the parameter grid
logstepLogarithmic step for iterating the statmodel parameter

Member Data Documentation

§ logStep

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.

§ maxVal

double cv::ml::ParamGrid::maxVal

Maximum value of the statmodel parameter. Default value is 0.

§ minVal

double cv::ml::ParamGrid::minVal

Minimum value of the statmodel parameter. Default value is 0.


The documentation for this class was generated from the following file: