TMVA::LeastSquaresLossFunctionBDT Class Reference

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:

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  )

virtual

least squares BDT, set the targets for a collection of events

Implements TMVA::LossFunctionBDT.

Definition at line 437 of file LossFunction.cxx.

Target()

Double_t TMVA::LeastSquaresLossFunctionBDT::Target ( LossFunctionEventInfo &  e )

virtual

least squares BDT, set the target for a single event

Implements TMVA::LossFunctionBDT.

Definition at line 459 of file LossFunction.cxx.

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The documentation for this class was generated from the following files:

• tmva/tmva/inc/TMVA/LossFunction.h
• tmva/tmva/src/LossFunction.cxx