emtf::LeastSquares Class Reference

#include <LossFunctions.h>

Inheritance diagram for emtf::LeastSquares:

Public Member Functions
double	fit (std::vector< Event * > &v) override
int	id () override
	LeastSquares ()
std::string	name () override
double	target (Event *e) override
	~LeastSquares () override
Public Member Functions inherited from emtf::LossFunction
virtual	~LossFunction ()=default

Detailed Description

Definition at line 39 of file LossFunctions.h.

Constructor & Destructor Documentation

emtf::LeastSquares::LeastSquares ( )

inline

Definition at line 41 of file LossFunctions.h.

{}

emtf::LeastSquares::~LeastSquares ( )

inlineoverride

Definition at line 42 of file LossFunctions.h.

{}

Member Function Documentation

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

inlineoverridevirtual

Implements emtf::LossFunction.

Definition at line 49 of file LossFunctions.h.

References MillePedeFileConverter_cfg::e, mps_fire::i, emtf::Event::predictedValue, SUM, and emtf::Event::trueValue.

Referenced by trackingPlots.Iteration::modules().

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

      double 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 emtf::LeastSquares::id ( void  )

inlineoverridevirtual

Implements emtf::LossFunction.

Definition at line 61 of file LossFunctions.h.

{ return 1; }

std::string emtf::LeastSquares::name ( void  )

inlineoverridevirtual

Implements emtf::LossFunction.

Definition at line 60 of file LossFunctions.h.

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

{ return "Least_Squares"; }

double emtf::LeastSquares::target ( Event *  e )

inlineoverridevirtual

Implements emtf::LossFunction.

Definition at line 44 of file LossFunctions.h.

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

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