Class to keep all parameters of an expert MLP for the neuro trigger. More...

#include <GRLMLP.h>

Inheritance diagram for GRLMLP:

Collaboration diagram for GRLMLP:

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Public Member Functions
	GRLMLP ()
	default constructor.

	GRLMLP (std::vector< unsigned short > &nodes, unsigned short targets, const std::vector< float > &outputscale)
	constructor to set all parameters (not weights and relevantID ranges).

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

bool	isTrained () const
	check if weights are default values or set by some trainer

unsigned	getNumberOfLayers () const
	get number of layers

unsigned	getNumberOfNodesLayer (unsigned iLayer) const
	get number of nodes in a layer

unsigned	getNumberOfWeights () const
	get number of weights from length of weights vector

unsigned	nWeightsCal () const
	calculate number of weights from number of nodes

unsigned	nBiasCal () const
	calculate number of weights from number of nodes

std::vector< float >	getWeights () const
	get weights vector

std::vector< float >	getBias () const
	get bias vector

void	setWeights (std::vector< float > &weights)
	set weights vector

void	setBias (std::vector< float > &bias)
	set bias vector

void	Trained (bool trained)
	check if weights are default values or set by some trainer

Private Member Functions
	ClassDef (GRLMLP, 2)
	Needed to make the ROOT object storable.

Private Attributes
std::vector< unsigned short >	m_nNodes
	Number of nodes in each layer, not including bias nodes.

std::vector< float >	m_weights
	Weights of the network.

std::vector< float >	m_bias
	bias of the network.

bool	m_trained
	Indicator whether the weights are just default values or have been set by some trainer (set to true when setWeights() is first called).

unsigned short	m_targetVars
	output variables: 1: z, 2: theta, 3: (z, theta)

std::vector< float >	m_outputScale
	Output[i] of the MLP is scaled from [-1, 1] to [outputScale[2i], outputScale[2i+1]].

Detailed Description

Class to keep all parameters of an expert MLP for the neuro trigger.

Definition at line 21 of file GRLMLP.h.

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

Public Member Functions