ROOT 6.14/05 Reference Guide 
Least Squares BDT Loss Function.
Definition at line 243 of file LossFunction.h.
Public Member Functions  
LeastSquaresLossFunctionBDT ()  
~LeastSquaresLossFunctionBDT ()  
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) 
least squares 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) 
least squares BDT, set the targets for a collection of events More...  
Double_t  Target (LossFunctionEventInfo &e) 
least squares 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::LeastSquaresLossFunction  
LeastSquaresLossFunction ()  
~LeastSquaresLossFunction ()  
Double_t  CalculateLoss (LossFunctionEventInfo &e) 
least squares , determine the loss for a single event More...  
Double_t  CalculateMeanLoss (std::vector< LossFunctionEventInfo > &evs) 
least squares , determine the mean loss for a collection of events More...  
Double_t  CalculateNetLoss (std::vector< LossFunctionEventInfo > &evs) 
least squares , determine the net loss for a collection of events More...  
Int_t  Id () 
TString  Name () 
Additional Inherited Members  
Protected Member Functions inherited from TMVA::LossFunction  
UInt_t  GetNumThreadsInPool () 
Protected Attributes inherited from TMVA::LossFunction  
UInt_t  fNumPoolThreads = 1 
#include <TMVA/LossFunction.h>

inline 
Definition at line 246 of file LossFunction.h.

inline 
Definition at line 247 of file LossFunction.h.

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 510 of file LossFunction.cxx.

virtual 
least squares BDT, initialize the targets and prepare for the regression
Implements TMVA::LossFunctionBDT.
Definition at line 443 of file LossFunction.cxx.

virtual 
least squares BDT, set the targets for a collection of events
Implements TMVA::LossFunctionBDT.
Definition at line 467 of file LossFunction.cxx.

virtual 
least squares BDT, set the target for a single event
Implements TMVA::LossFunctionBDT.
Definition at line 499 of file LossFunction.cxx.