OpenMS
RANSACParam Struct Reference

A simple struct to carry all the parameters required for a RANSAC run. More...

#include <OpenMS/ML/RANSAC/RANSAC.h>

Collaboration diagram for RANSACParam:
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Public Member Functions

 RANSACParam ()
 Default constructor. More...
 
 RANSACParam (size_t p_n, size_t p_k, double p_t, size_t p_d, bool p_relative_d=false)
 Full constructor. More...
 
std::string toString () const
 

Public Attributes

size_t n
 data points: The minimum number of data points required to fit the model More...
 
size_t k
 iterations: The maximum number of iterations allowed in the algorithm More...
 
double t
 Threshold value: for determining when a data point fits a model. Corresponds to the maximal squared deviation in units of the second dimension (dim2). More...
 
size_t d
 The number of close data values (according to 't') required to assert that a model fits well to data. More...
 
bool relative_d
 Should 'd' be interpreted as percentages (0-100) of data input size. More...
 

Detailed Description

A simple struct to carry all the parameters required for a RANSAC run.

Constructor & Destructor Documentation

◆ RANSACParam() [1/2]

RANSACParam ( )
inline

Default constructor.

◆ RANSACParam() [2/2]

RANSACParam ( size_t  p_n,
size_t  p_k,
double  p_t,
size_t  p_d,
bool  p_relative_d = false 
)
inline

Full constructor.

References RANSACParam::d, and RANSACParam::relative_d.

Member Function Documentation

◆ toString()

std::string toString ( ) const
inline

Member Data Documentation

◆ d

size_t d

The number of close data values (according to 't') required to assert that a model fits well to data.

Referenced by RANSAC< TModelType >::ransac(), RANSACParam::RANSACParam(), and RANSACParam::toString().

◆ k

size_t k

iterations: The maximum number of iterations allowed in the algorithm

Referenced by RANSAC< TModelType >::ransac(), and RANSACParam::toString().

◆ n

size_t n

data points: The minimum number of data points required to fit the model

Referenced by RANSAC< TModelType >::ransac(), and RANSACParam::toString().

◆ relative_d

bool relative_d

Should 'd' be interpreted as percentages (0-100) of data input size.

Referenced by RANSAC< TModelType >::ransac(), and RANSACParam::RANSACParam().

◆ t

double t

Threshold value: for determining when a data point fits a model. Corresponds to the maximal squared deviation in units of the second dimension (dim2).

Referenced by RANSAC< TModelType >::ransac(), and RANSACParam::toString().