TMVA::AbsoluteDeviationLossFunctionBDT Class Reference

Absolute Deviation BDT Loss Function.

Definition at line 261 of file LossFunction.h.

Public Member Functions
	AbsoluteDeviationLossFunctionBDT ()
	~AbsoluteDeviationLossFunctionBDT ()
Double_t	CalculateLoss (LossFunctionEventInfo &e) override
	absolute deviation, determine the loss for a single event
virtual Double_t	CalculateLoss (LossFunctionEventInfo &e)=0
Double_t	CalculateMeanLoss (std::vector< LossFunctionEventInfo > &evs) override
	absolute deviation, determine the mean loss for a collection of events
virtual Double_t	CalculateMeanLoss (std::vector< LossFunctionEventInfo > &evs)=0
Double_t	CalculateNetLoss (std::vector< LossFunctionEventInfo > &evs) override
	absolute deviation, determine the net loss for a collection of events
virtual Double_t	CalculateNetLoss (std::vector< LossFunctionEventInfo > &evs)=0
Double_t	Fit (std::vector< LossFunctionEventInfo > &evs) override
	absolute deviation BDT, determine the fit value for the terminal node based upon the events in the terminal node
Int_t	Id () override
virtual Int_t	Id ()=0
void	Init (std::map< const TMVA::Event *, LossFunctionEventInfo > &evinfomap, std::vector< double > &boostWeights) override
	absolute deviation BDT, initialize the targets and prepare for the regression
TString	Name () override
virtual TString	Name ()=0
void	SetTargets (std::vector< const TMVA::Event * > &evs, std::map< const TMVA::Event *, LossFunctionEventInfo > &evinfomap) override
	absolute deviation BDT, set the targets for a collection of events
Double_t	Target (LossFunctionEventInfo &e) override
	absolute deviation BDT, set the target for a single event

#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

CalculateLoss() [1/2]

Double_t TMVA::AbsoluteDeviationLossFunction::CalculateLoss ( LossFunctionEventInfo & e )

overridevirtualinherited

absolute deviation, determine the loss for a single event

Implements TMVA::LossFunction.

Definition at line 497 of file LossFunction.cxx.

CalculateLoss() [2/2]

virtual Double_t TMVA::LossFunction::CalculateLoss ( LossFunctionEventInfo & e )

pure virtualinherited

Implemented in TMVA::HuberLossFunction, TMVA::LeastSquaresLossFunction, and TMVA::AbsoluteDeviationLossFunction.

CalculateMeanLoss() [1/2]

Double_t TMVA::AbsoluteDeviationLossFunction::CalculateMeanLoss ( std::vector< LossFunctionEventInfo > & evs )

overridevirtualinherited

absolute deviation, determine the mean loss for a collection of events

Implements TMVA::LossFunction.

Definition at line 516 of file LossFunction.cxx.

CalculateMeanLoss() [2/2]

virtual Double_t TMVA::LossFunction::CalculateMeanLoss ( std::vector< LossFunctionEventInfo > & evs )

pure virtualinherited

Implemented in TMVA::HuberLossFunction, TMVA::LeastSquaresLossFunction, and TMVA::AbsoluteDeviationLossFunction.

CalculateNetLoss() [1/2]

Double_t TMVA::AbsoluteDeviationLossFunction::CalculateNetLoss ( std::vector< LossFunctionEventInfo > & evs )

overridevirtualinherited

absolute deviation, determine the net loss for a collection of events

Implements TMVA::LossFunction.

Definition at line 505 of file LossFunction.cxx.

CalculateNetLoss() [2/2]

virtual Double_t TMVA::LossFunction::CalculateNetLoss ( std::vector< LossFunctionEventInfo > & evs )

pure virtualinherited

Implemented in TMVA::HuberLossFunction, TMVA::LeastSquaresLossFunction, and TMVA::AbsoluteDeviationLossFunction.

Fit()

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

overridevirtual

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.

Id() [1/2]

Int_t TMVA::AbsoluteDeviationLossFunction::Id ( )

inlineoverridevirtualinherited

Implements TMVA::LossFunction.

Definition at line 252 of file LossFunction.h.

Id() [2/2]

virtual Int_t TMVA::LossFunction::Id ( )

pure virtualinherited

Implemented in TMVA::HuberLossFunction, TMVA::LeastSquaresLossFunction, and TMVA::AbsoluteDeviationLossFunction.

Init()

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

overridevirtual

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

Implements TMVA::LossFunctionBDT.

Definition at line 536 of file LossFunction.cxx.

Name() [1/2]

TString TMVA::AbsoluteDeviationLossFunction::Name ( )

inlineoverridevirtualinherited

Implements TMVA::LossFunction.

Definition at line 251 of file LossFunction.h.

Name() [2/2]

virtual TString TMVA::LossFunction::Name ( )

pure virtualinherited

Implemented in TMVA::HuberLossFunction, TMVA::LeastSquaresLossFunction, and TMVA::AbsoluteDeviationLossFunction.

SetTargets()

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

overridevirtual

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 )

overridevirtual

absolute deviation BDT, set the target for a single event

Implements TMVA::LossFunctionBDT.

Definition at line 580 of file LossFunction.cxx.

---

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

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