All of the options that can be specified in the training string.
Definition at line 72 of file MethodDL.h.
Public Attributes | |
| size_t | batchSize | 
| size_t | convergenceSteps | 
| std::vector< Double_t > | dropoutProbabilities | 
| Double_t | learningRate | 
| size_t | maxEpochs | 
| Double_t | momentum | 
| bool | multithreading | 
| DNN::EOptimizer | optimizer | 
| TString | optimizerName | 
| std::map< TString, double > | optimizerParams | 
| DNN::ERegularization | regularization | 
| size_t | testInterval | 
| Double_t | weightDecay | 
#include <TMVA/MethodDL.h>
| size_t TMVA::TTrainingSettings::batchSize | 
Definition at line 73 of file MethodDL.h.
| size_t TMVA::TTrainingSettings::convergenceSteps | 
Definition at line 75 of file MethodDL.h.
| std::vector<Double_t> TMVA::TTrainingSettings::dropoutProbabilities | 
Definition at line 83 of file MethodDL.h.
| Double_t TMVA::TTrainingSettings::learningRate | 
Definition at line 80 of file MethodDL.h.
| size_t TMVA::TTrainingSettings::maxEpochs | 
Definition at line 76 of file MethodDL.h.
| Double_t TMVA::TTrainingSettings::momentum | 
Definition at line 81 of file MethodDL.h.
| bool TMVA::TTrainingSettings::multithreading | 
Definition at line 85 of file MethodDL.h.
| DNN::EOptimizer TMVA::TTrainingSettings::optimizer | 
Definition at line 78 of file MethodDL.h.
| TString TMVA::TTrainingSettings::optimizerName | 
Definition at line 79 of file MethodDL.h.
Definition at line 84 of file MethodDL.h.
| DNN::ERegularization TMVA::TTrainingSettings::regularization | 
Definition at line 77 of file MethodDL.h.
| size_t TMVA::TTrainingSettings::testInterval | 
Definition at line 74 of file MethodDL.h.
| Double_t TMVA::TTrainingSettings::weightDecay | 
Definition at line 82 of file MethodDL.h.