Definition at line 85 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 87 of file MethodDNN.h.
size_t TMVA::MethodDNN::TTrainingSettings::convergenceSteps |
Definition at line 89 of file MethodDNN.h.
std::vector<Double_t> TMVA::MethodDNN::TTrainingSettings::dropoutProbabilities |
Definition at line 94 of file MethodDNN.h.
Double_t TMVA::MethodDNN::TTrainingSettings::learningRate |
Definition at line 91 of file MethodDNN.h.
Double_t TMVA::MethodDNN::TTrainingSettings::momentum |
Definition at line 92 of file MethodDNN.h.
bool TMVA::MethodDNN::TTrainingSettings::multithreading |
Definition at line 95 of file MethodDNN.h.
DNN::ERegularization TMVA::MethodDNN::TTrainingSettings::regularization |
Definition at line 90 of file MethodDNN.h.
size_t TMVA::MethodDNN::TTrainingSettings::testInterval |
Definition at line 88 of file MethodDNN.h.
Double_t TMVA::MethodDNN::TTrainingSettings::weightDecay |
Definition at line 93 of file MethodDNN.h.