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Reference Guide
TMVA::TTrainingSettings Struct Reference

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

Definition at line 70 of file MethodDL.h.

Public Attributes

size_t batchSize
 
size_t convergenceSteps
 
std::vector< Double_tdropoutProbabilities
 
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 71 of file MethodDL.h.

◆ convergenceSteps

size_t TMVA::TTrainingSettings::convergenceSteps

Definition at line 73 of file MethodDL.h.

◆ dropoutProbabilities

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

Definition at line 81 of file MethodDL.h.

◆ learningRate

Double_t TMVA::TTrainingSettings::learningRate

Definition at line 78 of file MethodDL.h.

◆ maxEpochs

size_t TMVA::TTrainingSettings::maxEpochs

Definition at line 74 of file MethodDL.h.

◆ momentum

Double_t TMVA::TTrainingSettings::momentum

Definition at line 79 of file MethodDL.h.

◆ multithreading

bool TMVA::TTrainingSettings::multithreading

Definition at line 82 of file MethodDL.h.

◆ optimizer

DNN::EOptimizer TMVA::TTrainingSettings::optimizer

Definition at line 76 of file MethodDL.h.

◆ optimizerName

TString TMVA::TTrainingSettings::optimizerName

Definition at line 77 of file MethodDL.h.

◆ regularization

DNN::ERegularization TMVA::TTrainingSettings::regularization

Definition at line 75 of file MethodDL.h.

◆ testInterval

size_t TMVA::TTrainingSettings::testInterval

Definition at line 72 of file MethodDL.h.

◆ weightDecay

Double_t TMVA::TTrainingSettings::weightDecay

Definition at line 80 of file MethodDL.h.

Collaboration diagram for TMVA::TTrainingSettings:
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The documentation for this struct was generated from the following file: