ROOT 6.14/05 Reference Guide 
Absolute Deviation Loss Function.
Definition at line 260 of file LossFunction.h.
Public Member Functions  
AbsoluteDeviationLossFunction ()  
~AbsoluteDeviationLossFunction ()  
Double_t  CalculateLoss (LossFunctionEventInfo &e) 
absolute deviation, determine the loss for a single event More...  
Double_t  CalculateMeanLoss (std::vector< LossFunctionEventInfo > &evs) 
absolute deviation, determine the mean loss for a collection of events More...  
Double_t  CalculateNetLoss (std::vector< LossFunctionEventInfo > &evs) 
absolute deviation, determine the net loss for a collection of events More...  
Int_t  Id () 
TString  Name () 
Public Member Functions inherited from TMVA::LossFunction  
LossFunction ()  
virtual  ~LossFunction () 
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 263 of file LossFunction.h.

inline 
Definition at line 264 of file LossFunction.h.

virtual 
absolute deviation, determine the loss for a single event
Implements TMVA::LossFunction.
Definition at line 537 of file LossFunction.cxx.

virtual 
absolute deviation, determine the mean loss for a collection of events
Implements TMVA::LossFunction.
Definition at line 556 of file LossFunction.cxx.

virtual 
absolute deviation, determine the net loss for a collection of events
Implements TMVA::LossFunction.
Definition at line 545 of file LossFunction.cxx.

inlinevirtual 
Implements TMVA::LossFunction.
Definition at line 273 of file LossFunction.h.

inlinevirtual 
Implements TMVA::LossFunction.
Definition at line 272 of file LossFunction.h.