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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>
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inline |
Definition at line 246 of file LossFunction.h.
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inline |
Definition at line 247 of file LossFunction.h.
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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.
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virtual |
least squares BDT, initialize the targets and prepare for the regression
Implements TMVA::LossFunctionBDT.
Definition at line 443 of file LossFunction.cxx.
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virtual |
least squares BDT, set the targets for a collection of events
Implements TMVA::LossFunctionBDT.
Definition at line 467 of file LossFunction.cxx.
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virtual |
least squares BDT, set the target for a single event
Implements TMVA::LossFunctionBDT.
Definition at line 499 of file LossFunction.cxx.