Huber BDT Loss Function.

Definition at line 179 of file LossFunction.h.

Public Member Functions
	HuberLossFunctionBDT ()

	HuberLossFunctionBDT (Double_t quantile)

	~HuberLossFunctionBDT ()

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

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

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

Double_t	Target (LossFunctionEventInfo &e)
	huber BDT, set the target for a single event

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

virtual	~LossFunctionBDT ()

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

virtual	~LossFunction ()

Public Member Functions inherited from TMVA::HuberLossFunction
	HuberLossFunction ()
	huber constructor

	HuberLossFunction (Double_t quantile)

	~HuberLossFunction ()
	huber destructor

Double_t	CalculateLoss (LossFunctionEventInfo &e)
	huber, determine the loss for a single event

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

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

Double_t	CalculateQuantile (std::vector< LossFunctionEventInfo > &evs, Double_t whichQuantile, Double_t sumOfWeights, bool abs)
	huber, determine the quantile for a given input

Double_t	CalculateSumOfWeights (const std::vector< LossFunctionEventInfo > &evs)
	huber, calculate the sum of weights for the events in the vector

Int_t	Id ()

void	Init (std::vector< LossFunctionEventInfo > &evs)
	figure out the residual that determines the separation between the "core" and the "tails" of the residuals distribution

TString	Name ()

void	SetSumOfWeights (std::vector< LossFunctionEventInfo > &evs)
	huber, set the sum of weights given a collection of events

void	SetTransitionPoint (std::vector< LossFunctionEventInfo > &evs)
	huber, determine the transition point using the values for fQuantile and fSumOfWeights which presumably have already been set

Additional Inherited Members
Protected Attributes inherited from TMVA::HuberLossFunction
Double_t	fQuantile

Double_t	fSumOfWeights

Double_t	fTransitionPoint

#include <TMVA/LossFunction.h>

Inheritance diagram for TMVA::HuberLossFunctionBDT:

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Constructor & Destructor Documentation

◆ HuberLossFunctionBDT() [1/2]

TMVA::HuberLossFunctionBDT::HuberLossFunctionBDT ( )

Definition at line 240 of file LossFunction.cxx.

◆ HuberLossFunctionBDT() [2/2]

TMVA::HuberLossFunctionBDT::HuberLossFunctionBDT ( Double_t quantile )

inline

Definition at line 183 of file LossFunction.h.

◆ ~HuberLossFunctionBDT()

TMVA::HuberLossFunctionBDT::~HuberLossFunctionBDT ( )

inline

Definition at line 184 of file LossFunction.h.

Member Function Documentation

◆ Fit()

Double_t TMVA::HuberLossFunctionBDT::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 334 of file LossFunction.cxx.

◆ Init()

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

virtual

huber BDT, initialize the targets and prepare for the regression

Implements TMVA::LossFunctionBDT.

Definition at line 246 of file LossFunction.cxx.

◆ SetTargets()

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