Normalize data to have zero mean and unitary standard deviation.
More...
#include <Normalizations.h>
Normalize data to have zero mean and unitary standard deviation.
Definition at line 435 of file Normalizations.h.
◆ SpherizationVarDep() [1/2]
Ringer::PreProcessing::Norm::SpherizationVarDep::SpherizationVarDep |
( |
| ) |
|
|
inline |
◆ SpherizationVarDep() [2/2]
Ringer::PreProcessing::Norm::SpherizationVarDep::SpherizationVarDep |
( |
const std::vector< float > & |
dataMean, |
|
|
const std::vector< float > & |
dataStd |
|
) |
| |
|
inline |
◆ etaDep()
Returns whether it is et dependent.
◆ etaMax()
float Ringer::VariableDependency::etaMax |
( |
| ) |
const |
|
inherited |
◆ etaMin()
float Ringer::VariableDependency::etaMin |
( |
| ) |
const |
|
inherited |
◆ etDep()
Returns whether it is et dependent.
◆ etMax()
float Ringer::VariableDependency::etMax |
( |
| ) |
const |
|
inherited |
◆ etMin()
float Ringer::VariableDependency::etMin |
( |
| ) |
const |
|
inherited |
◆ execute() [1/2]
virtual void Ringer::PreProcessing::IPreProcessor::execute |
( |
std::vector< float > & |
inputSpace | ) |
const |
|
pure virtualinherited |
◆ execute() [2/2]
virtual void Ringer::PreProcessing::Norm::Spherization::execute |
( |
std::vector< float > & |
inputSpace | ) |
const |
|
finaloverridevirtualinherited |
◆ isWithinEtaRange()
bool Ringer::VariableDependency::isWithinEtaRange |
( |
const float |
eta | ) |
const |
|
inherited |
Check if eta is within this procedure range.
◆ isWithinEtRange()
bool Ringer::VariableDependency::isWithinEtRange |
( |
const float |
et | ) |
const |
|
inherited |
Check if et is within this procedure et range.
◆ isWithinRange()
Check if depVar is within this procedure range.
◆ name()
◆ read() [1/3]
◆ read() [2/3]
Read Ringer procedure from configuration dir.
◆ read() [3/3]
static void Ringer::VariableDependency::read |
( |
VariableDependency * |
varDep, |
|
|
TDirectory * |
configDir, |
|
|
unsigned |
writtenVersion |
|
) |
| |
|
staticinherited |
Read variable dependency from directory.
◆ setEtaDep()
void Ringer::VariableDependency::setEtaDep |
( |
const float |
etaMin, |
|
|
const float |
etaMax |
|
) |
| |
|
inherited |
Set this procedure to be eta dependent:
◆ setEtaEtDep()
void Ringer::VariableDependency::setEtaEtDep |
( |
const float |
etaMin, |
|
|
const float |
etaMax, |
|
|
const float |
etMin, |
|
|
const float |
etMax |
|
) |
| |
|
inherited |
Set this procedure to be et dependent.
◆ setEtDep()
void Ringer::VariableDependency::setEtDep |
( |
const float |
etMin, |
|
|
const float |
etMax |
|
) |
| |
|
inherited |
Set this procedure to be et dependent.
◆ type()
std::string Ringer::VariableDependency::type |
( |
| ) |
const |
|
inherited |
Return this variable dependency string.
This is not a virtual method.
◆ write() [1/2]
Write Ringer procedure to configuration directory.
◆ write() [2/2]
virtual void Ringer::IRingerProcedure::write |
( |
TDirectory * |
configDir, |
|
|
const char * |
idxStr = "" |
|
) |
| const |
|
pure virtualinherited |
Write Ringer procedure to configuration directory.
◆ writeDepInfo()
void Ringer::VariableDependency::writeDepInfo |
( |
TDirectory * |
configDir | ) |
const |
|
inherited |
Write variable dependency to directory.
This is not a virtual method.
◆ m_deslocation
std::vector<float> Ringer::PreProcessing::Norm::Spherization::m_deslocation |
|
privateinherited |
◆ m_dim
size_t Ringer::PreProcessing::Norm::Spherization::m_dim |
|
privateinherited |
◆ m_etaDependency
EtaDependency Ringer::VariableDependency::m_etaDependency {EtaDependency::EtaIndependent} |
|
privateinherited |
◆ m_etaMax
float Ringer::VariableDependency::m_etaMax {0} |
|
privateinherited |
◆ m_etaMin
float Ringer::VariableDependency::m_etaMin {0} |
|
privateinherited |
◆ m_etDependency
EtDependency Ringer::VariableDependency::m_etDependency {EtDependency::EtIndependent} |
|
privateinherited |
◆ m_etMax
float Ringer::VariableDependency::m_etMax {0} |
|
privateinherited |
◆ m_etMin
float Ringer::VariableDependency::m_etMin {0} |
|
privateinherited |
◆ m_normInv
std::vector<float> Ringer::PreProcessing::Norm::Spherization::m_normInv |
|
privateinherited |
The inverse of the training sample data standard deviation.
Definition at line 194 of file Normalizations.h.
The documentation for this class was generated from the following file: