nnet::NeuralNet Class Reference

Public Types
enum	InputNormalisationSelect { PassthroughNormalised, GaussianNormalised }
enum	SerialisationMode { XML, PlainText }

Public Member Functions
	NeuralNet (const int numberOfInputs, const std::vector< int > &numberOfNeuronsPerLayer, NeuronBuilder *theNeuronBuilder, bool initialiseRandomSeed=true)
	NeuralNet (const int numberOfInputs, const std::vector< std::vector< std::string > > &namedNeuronsPerLayer, bool initialiseRandomSeed=true)
	NeuralNet (const NeuralNet &other)
	NeuralNet (const std::string &xmlfile, std::vector< NeuronBuilder * > &theNeuronBuilders, const SerialisationMode readMode=XML)
	NeuralNet (const char *xmlfile, std::vector< NeuronBuilder * > &theNeuronBuilders, const SerialisationMode readMode=XML)
	NeuralNet (const std::string &xmlfile, const SerialisationMode readMode=XML)
	NeuralNet (const char *xmlfile, const SerialisationMode readMode=XML)
void	serialise (std::ostream &os) const
std::vector< double >	output (const std::vector< double > &inputValues) const
int	numberOfWeights () const
int	numberOfLayers () const
int	numberOfInputs () const
std::vector< double >	weights () const
void	setWeights (const std::vector< double > &newWeights)
NeuronLayer *	layer (const int i) const
void	setTargetNormalisationOffsets (const std::vector< double > &offsets)
void	setTargetNormalisationRanges (const std::vector< double > &ranges)
std::vector< double >	targetNormalisationOffsets () const
std::vector< double >	targetNormalisationRanges () const
std::vector< std::pair< double, double > >	networkOutputRange () const
void	setSerialisationPrecision (const int precision)
int	getSerialisationPrecision () const
void	setInputNormalisers (const std::vector< InputNormaliser * > &theNormalisers)
std::vector< InputNormaliser * >	inputNormalisers () const
SerialisationMode	getSerialisationMode () const
void	setSerialisationMode (const SerialisationMode &mode)

Protected Member Functions
void	constructLayers (const int numberOfInputs, const int numberOfLayers, const std::vector< int > &numberOfNeuronsPerLayer, bool initialiseRandomSeed)
void	constructLayers (const std::vector< std::vector< std::string > > &namedLayers, bool initialiseRandomSeed)
void	clear ()
void	buildFromUrl (const std::string &url, const std::vector< NeuronBuilder * > &theNeuronBuilders)
void	buildFromUrl (const std::string &url)
void	buildFromXML (const std::string &url, const std::vector< NeuronBuilder * > &theNeuronBuilders)
void	buildFromXML (const std::string &url)
void	buildFromPlainText (const std::string &url, const std::vector< NeuronBuilder * > &theNeuronBuilders)
void	buildFromPlainText (const std::string &url)

Detailed Description

Definition at line 30 of file NeuralNet.h.

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

• NeuralNet.h