PercentErrorSquared Class Reference

#include <LossFunctions.h>

Inheritance diagram for PercentErrorSquared:

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

inlinevirtual

Implements L1TLossFunction.

Definition at line 203 of file LossFunctions.h.

References MillePedeFileConverter_cfg::e, i, emtf::Event::predictedValue, and emtf::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++)
      {   
        emtf::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 L1TLossFunction.

Definition at line 221 of file LossFunctions.h.

{ return 4; }

std::string PercentErrorSquared::name ( void  )

inlinevirtual

Implements L1TLossFunction.

Definition at line 220 of file LossFunctions.h.

Referenced by config.CFG::__str__(), validation.Sample::digest(), and VIDSelectorBase.VIDSelectorBase::initialize().

{ return "Percent_Error"; }

Double_t PercentErrorSquared::target ( emtf::Event *  e )

inlinevirtual

Implements L1TLossFunction.

Definition at line 197 of file LossFunctions.h.

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

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