Struct for training data of a single MLP for the neuro trigger. More...

#include <GRLMLPData.h>

Inheritance diagram for GRLMLPData:

Collaboration diagram for GRLMLPData:

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Public Member Functions
	GRLMLPData ()
	default constructor.

	~GRLMLPData ()
	destructor, empty because we don't allocate memory anywhere.

void	addSample (const std::vector< float > &input, const std::vector< float > &target)
	add a pair of input and target

unsigned	getNumberOfSamples () const
	get number of samples (same for input and target)

const std::vector< float > &	getInput (unsigned i) const
	get input vector of sample i

const std::vector< float > &	getTarget (unsigned i) const
	get target value of sample i

Private Member Functions
	ClassDef (GRLMLPData, 1)
	Needed to make the ROOT object storable.

Private Attributes
std::vector< std::vector< float > >	m_inputSamples
	list of input vectors for network training.

std::vector< std::vector< float > >	m_targetSamples
	list of target values for network training.

Detailed Description

Struct for training data of a single MLP for the neuro trigger.

Definition at line 20 of file GRLMLPData.h.

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

Public Member Functions