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.