ROOT 6.16/01 Reference Guide |
Absolute Deviation Loss Function.
Definition at line 239 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 () |
virtual Double_t | CalculateLoss (LossFunctionEventInfo &e)=0 |
virtual Double_t | CalculateMeanLoss (std::vector< LossFunctionEventInfo > &evs)=0 |
virtual Double_t | CalculateNetLoss (std::vector< LossFunctionEventInfo > &evs)=0 |
virtual Int_t | Id ()=0 |
virtual TString | Name ()=0 |
#include <TMVA/LossFunction.h>
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inline |
Definition at line 242 of file LossFunction.h.
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inline |
Definition at line 243 of file LossFunction.h.
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virtual |
absolute deviation, determine the loss for a single event
Implements TMVA::LossFunction.
Definition at line 497 of file LossFunction.cxx.
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virtual |
absolute deviation, determine the mean loss for a collection of events
Implements TMVA::LossFunction.
Definition at line 516 of file LossFunction.cxx.
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virtual |
absolute deviation, determine the net loss for a collection of events
Implements TMVA::LossFunction.
Definition at line 505 of file LossFunction.cxx.
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inlinevirtual |
Implements TMVA::LossFunction.
Definition at line 252 of file LossFunction.h.
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inlinevirtual |
Implements TMVA::LossFunction.
Definition at line 251 of file LossFunction.h.