All of the options that can be specified in the training string.

Definition at line 65 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

DNN::ERegularization	regularization

size_t	testInterval

Double_t	weightDecay

#include <TMVA/MethodDL.h>

Member Data Documentation

◆ batchSize

size_t TMVA::TTrainingSettings::batchSize

Definition at line 66 of file MethodDL.h.

◆ convergenceSteps

size_t TMVA::TTrainingSettings::convergenceSteps

Definition at line 68 of file MethodDL.h.

◆ dropoutProbabilities

std::vector<Double_t> TMVA::TTrainingSettings::dropoutProbabilities

Definition at line 76 of file MethodDL.h.

◆ learningRate

Double_t TMVA::TTrainingSettings::learningRate

Definition at line 73 of file MethodDL.h.

◆ maxEpochs

size_t TMVA::TTrainingSettings::maxEpochs

Definition at line 69 of file MethodDL.h.

◆ momentum

Double_t TMVA::TTrainingSettings::momentum

Definition at line 74 of file MethodDL.h.

◆ multithreading

bool TMVA::TTrainingSettings::multithreading

Definition at line 77 of file MethodDL.h.

◆ optimizer

DNN::EOptimizer TMVA::TTrainingSettings::optimizer

Definition at line 71 of file MethodDL.h.

◆ optimizerName

TString TMVA::TTrainingSettings::optimizerName

Definition at line 72 of file MethodDL.h.

◆ regularization

DNN::ERegularization TMVA::TTrainingSettings::regularization

Definition at line 70 of file MethodDL.h.

◆ testInterval

size_t TMVA::TTrainingSettings::testInterval

Definition at line 67 of file MethodDL.h.

◆ weightDecay

Double_t TMVA::TTrainingSettings::weightDecay

Definition at line 75 of file MethodDL.h.

Collaboration diagram for TMVA::TTrainingSettings:

[legend]

The documentation for this struct was generated from the following file:

tmva/tmva/inc/TMVA/MethodDL.h

Public Attributes