Absolute Deviation BDT Loss Function.

Definition at line 261 of file LossFunction.h.

Public Member Functions
	AbsoluteDeviationLossFunctionBDT ()

	~AbsoluteDeviationLossFunctionBDT ()

Double_t	Fit (std::vector< LossFunctionEventInfo > &evs)
	absolute deviation 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)
	absolute deviation 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)
	absolute deviation BDT, set the targets for a collection of events More...

Double_t	Target (LossFunctionEventInfo &e)
	absolute deviation 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::AbsoluteDeviationLossFunction
	AbsoluteDeviationLossFunction ()

	~AbsoluteDeviationLossFunction ()

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

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

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

Int_t	Id ()

TString	Name ()

#include <TMVA/LossFunction.h>

Inheritance diagram for TMVA::AbsoluteDeviationLossFunctionBDT:

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Constructor & Destructor Documentation

◆ AbsoluteDeviationLossFunctionBDT()

TMVA::AbsoluteDeviationLossFunctionBDT::AbsoluteDeviationLossFunctionBDT ( )

inline

Definition at line 264 of file LossFunction.h.

◆ ~AbsoluteDeviationLossFunctionBDT()

TMVA::AbsoluteDeviationLossFunctionBDT::~AbsoluteDeviationLossFunctionBDT ( )

inline

Definition at line 265 of file LossFunction.h.

Member Function Documentation

◆ Fit()

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

virtual

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

Implements TMVA::LossFunctionBDT.

Definition at line 591 of file LossFunction.cxx.

◆ Init()

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

virtual

absolute deviation BDT, initialize the targets and prepare for the regression

Implements TMVA::LossFunctionBDT.

Definition at line 536 of file LossFunction.cxx.

◆ SetTargets()

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