OpenCV: cv::ml::ParamGrid Class Reference

| OpenCV 3.4.2 Open Source Computer Vision

Public Member Functions | Static Public Member Functions | Public Attributes | List of all members
cv::ml::ParamGrid Class Reference
Machine Learning

The structure represents the logarithmic grid range of statmodel parameters. More...

`#include "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...

## 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

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

Parameters

  minVal | minimum value of the parameter grid
  maxVal | maximum value of the parameter grid
  logstep | Logarithmic 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 then 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:

- ml/include/opencv2/ml.hpp