TMVA::AbsoluteDeviationLossFunctionBDT Class Reference

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:

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  )

virtual

absolute deviation BDT, set the targets for a collection of events

Implements TMVA::LossFunctionBDT.

Definition at line 559 of file LossFunction.cxx.

Target()

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

virtual

absolute deviation BDT, set the target for a single event

Implements TMVA::LossFunctionBDT.

Definition at line 580 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