Least Squares BDT Loss Function.

Definition at line 222 of file LossFunction.h.

Public Member Functions
	LeastSquaresLossFunctionBDT ()

	~LeastSquaresLossFunctionBDT ()

Double_t	Fit (std::vector< LossFunctionEventInfo > &evs)
	huber BDT, determine the fit value for the terminal node based upon the events in the terminal node More...

void	Init (std::map< const TMVA::Event *, LossFunctionEventInfo > &evinfomap, std::vector< double > &boostWeights)
	least squares BDT, initialize the targets and prepare for the regression More...

void	SetTargets (std::vector< const TMVA::Event * > &evs, std::map< const TMVA::Event *, LossFunctionEventInfo > &evinfomap)
	least squares BDT, set the targets for a collection of events More...

Double_t	Target (LossFunctionEventInfo &e)
	least squares BDT, set the target for a single event More...

Public Member Functions inherited from TMVA::LossFunctionBDT
	LossFunctionBDT ()

virtual	~LossFunctionBDT ()

virtual Double_t	Fit (std::vector< LossFunctionEventInfo > &evs)=0

virtual void	Init (std::map< const TMVA::Event *, LossFunctionEventInfo > &evinfomap, std::vector< double > &boostWeights)=0

virtual void	SetTargets (std::vector< const TMVA::Event * > &evs, std::map< const TMVA::Event *, LossFunctionEventInfo > &evinfomap)=0

virtual Double_t	Target (LossFunctionEventInfo &e)=0

Public Member Functions inherited from TMVA::LossFunction
	LossFunction ()

virtual	~LossFunction ()

virtual Double_t	CalculateLoss (LossFunctionEventInfo &e)=0

virtual Double_t	CalculateMeanLoss (std::vector< LossFunctionEventInfo > &evs)=0

virtual Double_t	CalculateNetLoss (std::vector< LossFunctionEventInfo > &evs)=0

virtual Int_t	Id ()=0

virtual TString	Name ()=0

Public Member Functions inherited from TMVA::LeastSquaresLossFunction
	LeastSquaresLossFunction ()

	~LeastSquaresLossFunction ()

Double_t	CalculateLoss (LossFunctionEventInfo &e)
	least squares , determine the loss for a single event More...

Double_t	CalculateMeanLoss (std::vector< LossFunctionEventInfo > &evs)
	least squares , determine the mean loss for a collection of events More...

Double_t	CalculateNetLoss (std::vector< LossFunctionEventInfo > &evs)
	least squares , determine the net loss for a collection of events More...

Int_t	Id ()

TString	Name ()

#include <TMVA/LossFunction.h>

Inheritance diagram for TMVA::LeastSquaresLossFunctionBDT:

[legend]

Constructor & Destructor Documentation

◆ LeastSquaresLossFunctionBDT()

TMVA::LeastSquaresLossFunctionBDT::LeastSquaresLossFunctionBDT ( )

inline

Definition at line 225 of file LossFunction.h.

◆ ~LeastSquaresLossFunctionBDT()

TMVA::LeastSquaresLossFunctionBDT::~LeastSquaresLossFunctionBDT ( )

inline

Definition at line 226 of file LossFunction.h.

Member Function Documentation

◆ Fit()

Double_t TMVA::LeastSquaresLossFunctionBDT::Fit ( std::vector< LossFunctionEventInfo > & evs )

virtual

huber BDT, determine the fit value for the terminal node based upon the events in the terminal node

Implements TMVA::LossFunctionBDT.

Definition at line 470 of file LossFunction.cxx.

◆ Init()

void TMVA::LeastSquaresLossFunctionBDT::Init	(	std::map< const TMVA::Event *, LossFunctionEventInfo > &	evinfomap,
		std::vector< double > &	boostWeights
	)

virtual

least squares BDT, initialize the targets and prepare for the regression

Implements TMVA::LossFunctionBDT.

Definition at line 413 of file LossFunction.cxx.

◆ SetTargets()

void TMVA::LeastSquaresLossFunctionBDT::SetTargets	(	std::vector< const TMVA::Event * > &	evs,
		std::map< const TMVA::Event *, LossFunctionEventInfo > &	evinfomap
	)