Definition at line 74 of file NeuralNet.h.
 
#include <TMVA/NeuralNet.h>
◆ MeanVariance()
  
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          | TMVA::DNN::MeanVariance::MeanVariance | ( |  | ) |  |  | inline | 
 
 
◆ add() [1/2]
◆ add() [2/2]
  
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          | void TMVA::DNN::MeanVariance::add | ( | T | value, |  
          |  |  | double | weight = 1.0 ) |  | inline | 
 
 
◆ clear()
  
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          | void TMVA::DNN::MeanVariance::clear | ( |  | ) |  |  | inline | 
 
 
◆ count()
  
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          | int TMVA::DNN::MeanVariance::count | ( |  | ) | const |  | inline | 
 
 
◆ mean()
  
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          | double TMVA::DNN::MeanVariance::mean | ( |  | ) | const |  | inline | 
 
 
◆ stdDev()
  
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          | double TMVA::DNN::MeanVariance::stdDev | ( |  | ) | const |  | inline | 
 
 
◆ stdDev_corr()
  
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          | double TMVA::DNN::MeanVariance::stdDev_corr | ( |  | ) | const |  | inline | 
 
 
◆ var()
  
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          | double TMVA::DNN::MeanVariance::var | ( |  | ) | const |  | inline | 
 
 
◆ var_corr()
  
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          | double TMVA::DNN::MeanVariance::var_corr | ( |  | ) | const |  | inline | 
 
 
◆ weights()
  
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          | double TMVA::DNN::MeanVariance::weights | ( |  | ) | const |  | inline | 
 
 
◆ m_mean
  
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          | double TMVA::DNN::MeanVariance::m_mean |  | private | 
 
 
◆ m_n
  
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          | size_t TMVA::DNN::MeanVariance::m_n |  | private | 
 
 
◆ m_squared
  
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          | double TMVA::DNN::MeanVariance::m_squared |  | private | 
 
 
◆ m_sumWeights
  
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          | double TMVA::DNN::MeanVariance::m_sumWeights |  | private | 
 
 
The documentation for this class was generated from the following file: