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ROOT 6.18/05 Reference Guide |
Absolute Deviation BDT Loss Function.
Definition at line 261 of file LossFunction.h.
Public Member Functions | |
AbsoluteDeviationLossFunctionBDT () | |
~AbsoluteDeviationLossFunctionBDT () | |
Double_t | Fit (std::vector< LossFunctionEventInfo > &evs) |
absolute deviation 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) |
absolute deviation 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) |
absolute deviation BDT, set the targets for a collection of events More... | |
Double_t | Target (LossFunctionEventInfo &e) |
absolute deviation BDT, set the target for a single event More... | |
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LossFunctionBDT () | |
virtual | ~LossFunctionBDT () |
virtual Double_t | Fit (std::vector< LossFunctionEventInfo > &evs)=0 |
virtual void | Init (std::map< const TMVA::Event *, LossFunctionEventInfo > &evinfomap, std::vector< double > &boostWeights)=0 |
virtual void | SetTargets (std::vector< const TMVA::Event * > &evs, std::map< const TMVA::Event *, LossFunctionEventInfo > &evinfomap)=0 |
virtual Double_t | Target (LossFunctionEventInfo &e)=0 |
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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 |
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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 () |
#include <TMVA/LossFunction.h>
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inline |
Definition at line 264 of file LossFunction.h.
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inline |
Definition at line 265 of file LossFunction.h.
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virtual |
absolute deviation BDT, determine the fit value for the terminal node based upon the events in the terminal node
Implements TMVA::LossFunctionBDT.
Definition at line 591 of file LossFunction.cxx.
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virtual |
absolute deviation BDT, initialize the targets and prepare for the regression
Implements TMVA::LossFunctionBDT.
Definition at line 536 of file LossFunction.cxx.
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virtual |
absolute deviation BDT, set the targets for a collection of events
Implements TMVA::LossFunctionBDT.
Definition at line 559 of file LossFunction.cxx.
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virtual |
absolute deviation BDT, set the target for a single event
Implements TMVA::LossFunctionBDT.
Definition at line 580 of file LossFunction.cxx.