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