LeastSquares Class Reference

#include <LossFunctions.h>

Inheritance diagram for LeastSquares:

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

Detailed Description

Definition at line 37 of file LossFunctions.h.

Constructor & Destructor Documentation

LeastSquares::LeastSquares ( )

inline

Definition at line 40 of file LossFunctions.h.

{}

LeastSquares::~LeastSquares ( )

inline

Definition at line 41 of file LossFunctions.h.

{}

Member Function Documentation

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

inlinevirtual

Implements LossFunction.

Definition at line 49 of file LossFunctions.h.

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

Referenced by trackingPlots.Iteration::modules().

        {
        // The average of the residuals minmizes the Loss Function for LS.

            Double_t SUM = 0;
            for(unsigned int i=0; i<v.size(); i++)
            {
                Event* e = v[i];
                SUM += e->trueValue - e->predictedValue;
            }
    
            return SUM/v.size();
        }

int LeastSquares::id ( void  )

inlinevirtual

Implements LossFunction.

Definition at line 63 of file LossFunctions.h.

{ return 1; }

std::string LeastSquares::name ( void  )

inlinevirtual

Implements LossFunction.

Definition at line 62 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 "Least_Squares"; }

Double_t LeastSquares::target ( Event *  e )

inlinevirtual

Implements LossFunction.

Definition at line 43 of file LossFunctions.h.

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

        {
        // Each tree fits the residuals when using LeastSquares.
        return e->trueValue - e->predictedValue;
        }