PercentErrorSquared Class Reference

#include <LossFunctions.h>

Inheritance diagram for PercentErrorSquared:

Public Member Functions
Double_t	fit (std::vector< Event * > &v)
int	id ()
std::string	name ()
	PercentErrorSquared ()
Double_t	target (Event *e)
	~PercentErrorSquared ()

Detailed Description

Definition at line 191 of file LossFunctions.h.

Constructor & Destructor Documentation

PercentErrorSquared::PercentErrorSquared ( )

inline

Definition at line 194 of file LossFunctions.h.

{}

PercentErrorSquared::~PercentErrorSquared ( )

inline

Definition at line 195 of file LossFunctions.h.

{}

Member Function Documentation

Double_t PercentErrorSquared::fit ( std::vector< Event * > &  v )

inlinevirtual

Implements LossFunction.

Definition at line 203 of file LossFunctions.h.

References alignCSCRings::e, i, Event::predictedValue, and Event::trueValue.

Referenced by trackingPlots.Iteration::modules().

        {   
        // The average of the weighted residuals minimizes the squared percent error.
        // Weight(i) = 1/true(i)^2. 
    
            Double_t SUMtop = 0;
            Double_t SUMbottom = 0;
    
            for(unsigned int i=0; i<v.size(); i++)
            {   
                Event* e = v[i];
                SUMtop += (e->trueValue - e->predictedValue)/(e->trueValue*e->trueValue); 
                SUMbottom += 1/(e->trueValue*e->trueValue);
            }   
    
            return SUMtop/SUMbottom;
        }   

int PercentErrorSquared::id ( void  )

inlinevirtual

Implements LossFunction.

Definition at line 221 of file LossFunctions.h.

{ return 4; }

std::string PercentErrorSquared::name ( void  )

inlinevirtual

Implements LossFunction.

Definition at line 220 of file LossFunctions.h.

Referenced by cuy.divideElement::__init__(), cuy.plotElement::__init__(), cuy.additionElement::__init__(), cuy.superimposeElement::__init__(), cuy.graphElement::__init__(), config.CFG::__str__(), validation.Sample::digest(), and VIDSelectorBase.VIDSelectorBase::initialize().

{ return "Percent_Error"; }

Double_t PercentErrorSquared::target ( Event *  e )

inlinevirtual

Implements LossFunction.

Definition at line 197 of file LossFunctions.h.

References Event::predictedValue, and Event::trueValue.

        {   
        // The gradient of the squared percent error.
            return (e->trueValue - e->predictedValue)/(e->trueValue * e->trueValue);
        }