Definition at line 89 of file MethodDNN.h.
Public Attributes | |
| size_t | batchSize | 
| size_t | convergenceSteps | 
| std::vector< Double_t > | dropoutProbabilities | 
| Double_t | learningRate | 
| Double_t | momentum | 
| bool | multithreading | 
| DNN::ERegularization | regularization | 
| size_t | testInterval | 
| Double_t | weightDecay | 
| size_t TMVA::MethodDNN::TTrainingSettings::batchSize | 
Definition at line 91 of file MethodDNN.h.
| size_t TMVA::MethodDNN::TTrainingSettings::convergenceSteps | 
Definition at line 93 of file MethodDNN.h.
| std::vector<Double_t> TMVA::MethodDNN::TTrainingSettings::dropoutProbabilities | 
Definition at line 98 of file MethodDNN.h.
| Double_t TMVA::MethodDNN::TTrainingSettings::learningRate | 
Definition at line 95 of file MethodDNN.h.
| Double_t TMVA::MethodDNN::TTrainingSettings::momentum | 
Definition at line 96 of file MethodDNN.h.
| bool TMVA::MethodDNN::TTrainingSettings::multithreading | 
Definition at line 99 of file MethodDNN.h.
| DNN::ERegularization TMVA::MethodDNN::TTrainingSettings::regularization | 
Definition at line 94 of file MethodDNN.h.
| size_t TMVA::MethodDNN::TTrainingSettings::testInterval | 
Definition at line 92 of file MethodDNN.h.
| Double_t TMVA::MethodDNN::TTrainingSettings::weightDecay | 
Definition at line 97 of file MethodDNN.h.