Ringer::PreProcessing::Norm::Spherization Class Reference

#include <Normalizations.h>

Inheritance diagram for Ringer::PreProcessing::Norm::Spherization:

Collaboration diagram for Ringer::PreProcessing::Norm::Spherization:

Public Member Functions
	Spherization ()
	Spherization (const std::vector< float > &dataMean, const std::vector< float > &dataStd)
virtual void	execute (std::vector< float > &inputSpace) const final override
virtual void	write (TDirectory *configDir, const char *idxStr="") const =0
	Write Ringer procedure to configuration directory. More...

Private Member Functions
	Spherization (Spherization &&)

Private Attributes
std::vector< float >	m_deslocation
	The training sample data mean. More...
std::vector< float >	m_normInv
	The inverse of the training sample data standard deviation. More...
size_t	m_dim
	Input dimension (transient variable) More...

Detailed Description

Definition at line 173 of file Normalizations.h.

Constructor & Destructor Documentation

Spherization() [1/3]

Ringer::PreProcessing::Norm::Spherization::Spherization ( )

inline

Definition at line 180 of file Normalizations.h.

        : m_dim(0){;}

Spherization() [2/3]

Ringer::PreProcessing::Norm::Spherization::Spherization	(	const std::vector< float > &	dataMean,
		const std::vector< float > &	dataStd
	)

Spherization() [3/3]

Ringer::PreProcessing::Norm::Spherization::Spherization ( Spherization &&  )

private

Member Function Documentation

execute()

virtual void Ringer::PreProcessing::Norm::Spherization::execute ( std::vector< float > &  inputSpace ) const

finaloverridevirtual

Implements Ringer::PreProcessing::IPreProcessor.

write()

virtual void Ringer::IRingerProcedure::write ( TDirectory *  configDir, const char *  idxStr = ""  ) const

pure virtualinherited

Write Ringer procedure to configuration directory.

Member Data Documentation

m_deslocation

std::vector<float> Ringer::PreProcessing::Norm::Spherization::m_deslocation

private

The training sample data mean.

Definition at line 192 of file Normalizations.h.

m_dim

size_t Ringer::PreProcessing::Norm::Spherization::m_dim

private

Input dimension (transient variable)

Definition at line 196 of file Normalizations.h.

m_normInv

std::vector<float> Ringer::PreProcessing::Norm::Spherization::m_normInv

private

The inverse of the training sample data standard deviation.

Definition at line 194 of file Normalizations.h.

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The documentation for this class was generated from the following file:

• Normalizations.h