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.