Definition at line 75 of file NeuralNet.h.
#include <TMVA/NeuralNet.h>
◆ MeanVariance()
TMVA::DNN::MeanVariance::MeanVariance |
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◆ add() [1/2]
template<typename ITERATOR >
void TMVA::DNN::MeanVariance::add |
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ITERATOR |
itBegin, |
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ITERATOR |
itEnd |
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◆ add() [2/2]
template<typename T >
void TMVA::DNN::MeanVariance::add |
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T |
value, |
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double |
weight = 1.0 |
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◆ clear()
void TMVA::DNN::MeanVariance::clear |
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◆ count()
int TMVA::DNN::MeanVariance::count |
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const |
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◆ mean()
double TMVA::DNN::MeanVariance::mean |
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const |
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◆ stdDev()
double TMVA::DNN::MeanVariance::stdDev |
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const |
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◆ stdDev_corr()
double TMVA::DNN::MeanVariance::stdDev_corr |
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const |
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◆ var()
double TMVA::DNN::MeanVariance::var |
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const |
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◆ var_corr()
double TMVA::DNN::MeanVariance::var_corr |
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const |
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◆ weights()
double TMVA::DNN::MeanVariance::weights |
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const |
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◆ m_mean
double TMVA::DNN::MeanVariance::m_mean |
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◆ m_n
size_t TMVA::DNN::MeanVariance::m_n |
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◆ m_squared
double TMVA::DNN::MeanVariance::m_squared |
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◆ m_sumWeights
double TMVA::DNN::MeanVariance::m_sumWeights |
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The documentation for this class was generated from the following file: