Huber BDT Loss Function.

Definition at line 179 of file LossFunction.h.

Public Member Functions
	HuberLossFunctionBDT ()
	HuberLossFunctionBDT (Double_t quantile)
	~HuberLossFunctionBDT ()
Double_t	CalculateLoss (LossFunctionEventInfo &e) override
	huber, determine the loss for a single event
Double_t	CalculateMeanLoss (std::vector< LossFunctionEventInfo > &evs) override
	huber, determine the mean loss for a collection of events
Double_t	CalculateNetLoss (std::vector< LossFunctionEventInfo > &evs) override
	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
Double_t	Fit (std::vector< LossFunctionEventInfo > &evs) override
	huber BDT, determine the fit value for the terminal node based upon the events in the terminal node
Int_t	Id () override
void	Init (std::vector< LossFunctionEventInfo > &evs)
	figure out the residual that determines the separation between the "core" and the "tails" of the residuals distribution
void	Init (std::map< const TMVA::Event *, LossFunctionEventInfo > &evinfomap, std::vector< double > &boostWeights) override
	huber BDT, initialize the targets and prepare for the regression
TString	Name () override
void	SetSumOfWeights (std::vector< LossFunctionEventInfo > &evs)
	huber, set the sum of weights given a collection of events
void	SetTargets (std::vector< const TMVA::Event * > &evs, std::map< const TMVA::Event *, LossFunctionEventInfo > &evinfomap) override
	huber BDT, set the targets for 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
Double_t	Target (LossFunctionEventInfo &e) override
	huber BDT, set the target for a single event

Protected Attributes
Double_t	fQuantile
Double_t	fSumOfWeights
Double_t	fTransitionPoint

#include <TMVA/LossFunction.h>

Inheritance diagram for TMVA::HuberLossFunctionBDT:

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

◆ CalculateLoss()

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

overridevirtualinherited

huber, determine the loss for a single event

Implements TMVA::LossFunction.

Definition at line 181 of file LossFunction.cxx.

◆ CalculateMeanLoss()

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

overridevirtualinherited

huber, determine the mean loss for a collection of events

Implements TMVA::LossFunction.

Definition at line 220 of file LossFunction.cxx.

◆ CalculateNetLoss()

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

overridevirtualinherited

huber, determine the net loss for a collection of events

Implements TMVA::LossFunction.

Definition at line 202 of file LossFunction.cxx.

◆ CalculateQuantile()

Double_t TMVA::HuberLossFunction::CalculateQuantile	(	std::vector< LossFunctionEventInfo > &	evs,
		Double_t	whichQuantile,
		Double_t	sumOfWeights,
		bool	abs )

inherited

huber, determine the quantile for a given input

Definition at line 117 of file LossFunction.cxx.

◆ CalculateSumOfWeights()

Double_t TMVA::HuberLossFunction::CalculateSumOfWeights ( const std::vector< LossFunctionEventInfo > & evs )

inherited

huber, calculate the sum of weights for the events in the vector

Definition at line 92 of file LossFunction.cxx.

◆ Fit()

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

overridevirtual

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.

◆ Id()

Int_t TMVA::HuberLossFunction::Id ( )

inlineoverridevirtualinherited

Implements TMVA::LossFunction.

Definition at line 158 of file LossFunction.h.

◆ Init() [1/2]

void TMVA::HuberLossFunction::Init ( std::vector< LossFunctionEventInfo > & evs )

inherited

figure out the residual that determines the separation between the "core" and the "tails" of the residuals distribution

Definition at line 80 of file LossFunction.cxx.

◆ Init() [2/2]

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

overridevirtual

huber BDT, initialize the targets and prepare for the regression

Implements TMVA::LossFunctionBDT.

Definition at line 246 of file LossFunction.cxx.

◆ Name()

TString TMVA::HuberLossFunction::Name ( )

inlineoverridevirtualinherited

Implements TMVA::LossFunction.

Definition at line 157 of file LossFunction.h.

◆ SetSumOfWeights()

void TMVA::HuberLossFunction::SetSumOfWeights ( std::vector< LossFunctionEventInfo > & evs )

inherited

huber, set the sum of weights given a collection of events

Definition at line 174 of file LossFunction.cxx.

◆ SetTargets()

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

overridevirtual

huber BDT, set the targets for a collection of events

Implements TMVA::LossFunctionBDT.

Definition at line 271 of file LossFunction.cxx.

◆ SetTransitionPoint()

void TMVA::HuberLossFunction::SetTransitionPoint ( std::vector< LossFunctionEventInfo > & evs )

inherited

huber, determine the transition point using the values for fQuantile and fSumOfWeights which presumably have already been set

Definition at line 147 of file LossFunction.cxx.

◆ Target()

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

overridevirtual

huber BDT, set the target for a single event

Implements TMVA::LossFunctionBDT.

Definition at line 323 of file LossFunction.cxx.

Member Data Documentation

◆ fQuantile

Double_t TMVA::HuberLossFunction::fQuantile

protectedinherited

Definition at line 168 of file LossFunction.h.

◆ fSumOfWeights

Double_t TMVA::HuberLossFunction::fSumOfWeights

protectedinherited

Definition at line 170 of file LossFunction.h.

◆ fTransitionPoint

Double_t TMVA::HuberLossFunction::fTransitionPoint

protectedinherited

Definition at line 169 of file LossFunction.h.

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

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

Public Member Functions

Protected Attributes

Constructor & Destructor Documentation

◆ HuberLossFunctionBDT() [1/2]

◆ HuberLossFunctionBDT() [2/2]

◆ ~HuberLossFunctionBDT()

Member Function Documentation

◆ CalculateLoss()

◆ CalculateMeanLoss()

◆ CalculateNetLoss()

◆ CalculateQuantile()

◆ CalculateSumOfWeights()

◆ Fit()

◆ Id()

◆ Init() [1/2]

◆ Init() [2/2]

◆ Name()

◆ SetSumOfWeights()

◆ SetTargets()

◆ SetTransitionPoint()

◆ Target()

Member Data Documentation

◆ fQuantile

◆ fSumOfWeights

◆ fTransitionPoint