TMVA::HuberLossFunctionBDT Class Reference

Definition at line 174 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 More...
void	Init (std::map< const TMVA::Event *, LossFunctionEventInfo > &evinfomap, std::vector< double > &boostWeights)
	huber 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)
	huber BDT, set the targets for a collection of events More...
Double_t	Target (LossFunctionEventInfo &e)
	huber BDT, set the target for a single event More...
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 More...
	HuberLossFunction (Double_t quantile)
	~HuberLossFunction ()
	huber destructor More...
Double_t	CalculateLoss (LossFunctionEventInfo &e)
	huber, determine the loss for a single event More...
Double_t	CalculateMeanLoss (std::vector< LossFunctionEventInfo > &evs)
	huber, determine the mean loss for a collection of events More...
Double_t	CalculateNetLoss (std::vector< LossFunctionEventInfo > &evs)
	huber, determine the net loss for a collection of events More...
Double_t	CalculateQuantile (std::vector< LossFunctionEventInfo > &evs, Double_t whichQuantile, Double_t sumOfWeights, bool abs)
	huber, determine the quantile for a given input More...
Double_t	CalculateSumOfWeights (std::vector< LossFunctionEventInfo > &evs)
	huber, determine the quantile for a given input More...
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 More...
TString	Name ()
void	SetSumOfWeights (std::vector< LossFunctionEventInfo > &evs)
	huber, set the sum of weights given a collection of events More...
void	SetTransitionPoint (std::vector< LossFunctionEventInfo > &evs)
	huber, determine the transition point using the values for fQuantile and fSumOfWeights which presumably have already been set More...

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:

Constructor & Destructor Documentation

HuberLossFunctionBDT() [1/2]

TMVA::HuberLossFunctionBDT::HuberLossFunctionBDT

(

)

Definition at line 221 of file LossFunction.cxx.

HuberLossFunctionBDT() [2/2]

TMVA::HuberLossFunctionBDT::HuberLossFunctionBDT ( Double_t  quantile )

inline

Definition at line 178 of file LossFunction.h.

~HuberLossFunctionBDT()

TMVA::HuberLossFunctionBDT::~HuberLossFunctionBDT ( )

inline

Definition at line 179 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 282 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 227 of file LossFunction.cxx.

SetTargets()

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

virtual

huber BDT, set the targets for a collection of events

Implements TMVA::LossFunctionBDT.

Definition at line 250 of file LossFunction.cxx.

Target()

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

virtual

huber BDT, set the target for a single event

Implements TMVA::LossFunctionBDT.

Definition at line 271 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