File manager for mapping file client and server. More...

Inheritance diagram for IG.Neural.MappingApproximationFileManager:

Collaboration diagram for IG.Neural.MappingApproximationFileManager:

Public Member Functions
	MappingApproximationFileManager (string directoryPath)
	Constructs a new file manager for mapping approximation file client/server that operates in the specified directory. More...

	MappingApproximationFileManager (string directoryPath, DataMapperSimple mapper)

void	SetFunctionInputReady ()
	Sets the falg that indicates that the reduced approximation input data is ready. More...

void	ClearFunctionInputReady ()
	Clears the falg that indicates that the reduced approximation input data is ready. More...

bool	IsFunctionInputReady ()
	Returns value of the falg that indicates whether the reduced approximation input data is ready. More...

void	SetFunctionOutputReady ()
	Sets the falg that indicates that the reduced approximation output data is ready. More...

void	ClearFunctionOutputReady ()
	Clears the falg that indicates that the reduced approximation output data is ready. More...

bool	IsFunctionOutputReady ()
	Returns value of the falg that indicates whether the reduced approximation output data is ready. More...

void	ClearMessages ()
	Clears all messages for neural approximation client and server. More...

virtual void	ReadFunctionInput (ref IVector inputParameters)
	Reads function reduced input parameters form the file at standard location. More...

virtual void	WriteFunctionInput (IVector inputParameters)
	Writes function reduced input parameters to standard location. More...

virtual void	ReadFunctionOutput (ref IVector outputValues)
	Reads Function reduced output values from the file at standard location. More...

virtual void	WriteFunctionOutput (IVector outputValues)
	Writes function reduced outut values to the file at standard location. More...

virtual void	LoadDataDefinition (ref InputOutputDataDefiniton definitionData)
	Loads the definition data from the file at standard location. More...

virtual void	LoadMappingDefinition (ref MappingDefinition mappingDefinition)
	Loads the mapping definition data from the file at standard location. More...

virtual void	ClientTestCalculateMappingApproximation (string functionInputFilePath, string functionOutputFilePath)
	Performs client-side test calculation of neural network based approximation where input parameters are read from a specified function JSON file with reduced input parameters, copies to specified JSON file with total inputs and calculated output values are written to the specified file. More...

virtual void	ServerCalculateMappingApproximation ()
	Performs neural network-based approximation at prescribed reduced input parameters and saves results. Messages are set and cleared appropriately. This method read reduced input parameters from standard location, mapps input parameters, loads trained neural network, calculates approximated outpur values, mapps output values, and stores them to the standard location. More...

Public Member Functions inherited from IG.Neural.NeuraApproximationFileManager
	NeuraApproximationFileManager (string directoryPath)
	Nonstruct a new file manager for neural approximation file client/server that operates in the specified directory. More...

string	GetPath (string fileOrDirectoryName)
	Returns full path of the file or directory with the specified relative path within the data directory of the current file server/client. More...

void	SetNeuralBusy ()
	Sets the falg that indicates that the approximation server is busy. More...

void	ClearNeuralBusy ()
	Clears the falg that indicates that the approximation server is busy. More...

bool	IsNeuralBusy ()
	Returns value of the falg that indicates whether the approximation server is busy. More...

void	SetNeuralInputReady ()
	Sets the falg that indicates that the approximation input data is ready. More...

void	ClearNeuralInputReady ()
	Clears the falg that indicates that the approximation input data is ready. More...

bool	IsNeuralInputReady ()
	Returns value of the falg that indicates whether the approximation input data is ready. More...

void	SetNeuralOutputReady ()
	Sets the falg that indicates that the approximation output data is ready. More...

void	ClearNeuralOutputReady ()
	Clears the falg that indicates that the approximation output data is ready. More...

bool	IsNeuralOutputReady ()
	Returns value of the falg that indicates whether the approximation output data is ready. More...

void	ClearMessages ()
	Clears all messages for neural approximation client and server. More...

virtual void	ReadNeuralInput (ref IVector inputParameters)
	Reads neural approximator input parameters form the file at standard location. More...

virtual void	WriteNeuralInput (IVector inputParameters)
	Writes neural approximator input parameters to standard location. More...

virtual void	ReadNeuralOutput (ref IVector outputValues)
	Reads neural approximator output values from the file at standard location. More...

virtual void	WriteNeuralOutput (IVector outputValues)
	Writes neural approximator outut values to the file at standard location. More...

virtual void	LoadNeuralNetwork (ref INeuralApproximator trainedNetwork)
	Loads the trained neural network approximator from the file at standard location. More...

virtual void	ClientWriteNeuralInput (IVector inputParameters)
	Client writes input parameters for calculation of neural network based approximated values. Messages are set nad clears appropriately. More...

virtual void	ClientReadNeuralOutput (ref IVector outputValues)
	Client reads the results of neural network-based approximation (output values). Messages are set and clears appropriately. More...

virtual void	ClientSendRequestCalculateApproximation ()
	Performs request to the server for calculation of neural network based approximated values. More...

virtual void	ClientCalculateApproximation (IVector inputParameters, ref IVector outputValues)
	Calculates approximation by using the neural network approximation server. More...

virtual void	ClientTestCalculateApproximation (string inputFilePath, string outputFilePath)
	Performs client-side test calculation of neural network based approximation where input parameters are read from a specified JSON file, and calculated output values are written to the specified file. More...

virtual void	ServerCalculateApproximation ()
	Performs neural network-based approximation at prescribed input parameters and saves results. Messages are set and cleared appropriately. This method read input parameters from standard location, loads trained neural network, calculates approximated outpur values and stores them to the standard location. More...

Properties
static DataMapperIdentity	Aux `[get]`
	Initialize DataMapperIdentity object for identity copying. More...

IDataMapper	MapperDefinition `[get, set]`
	Initialize DataMapperIdentity object for identity copying if mapper is null. Setter takes DataMapperSimple object. More...

string	MappingDefinitionPath `[get, protected set]`
	File path of the input and output mapping definition file. Setter takes only pure file name, without path information. If set to null then file path is set to null and will be recalculated when getter is called. More...

string	FunctionInputPath `[get, protected set]`
	File path of the file with reduced input parameters. Setter takes only pure file name, without path information. If set to null then file path is set to null and will be recalculated when getter is called. More...

string	FunctionOutputPath `[get, protected set]`
	File path of the file for storing reduced approximated output values. Setter takes only pure file name, without path information. If set to null then file path is set to null and will be recalculated when getter is called. More...

string	MsgFunctionInputReadyPath `[get, protected set]`
	File path of the message file indicating that reduced input data is ready to be processed. Setter takes only pure file name, without path information. If set to null then file path is set to null and will be recalculated when getter is called. More...

string	MsgFunctionOutputReadyPath `[get, protected set]`
	File path of the message file indicating that the reduced approximated output is ready to be read. Setter takes only pure file name, without path information. If set to null then file path is set to null and will be recalculated when getter is called. More...

Properties inherited from IG.Neural.NeuraApproximationFileManager
object	Lock `[get]`
	This object's central lock object to be used by other object. Do not use this object for locking in class' methods, for this you should use InternalLock. More...

object	InternalLock `[get]`
	Used internally for locking access to internal fields. More...

string	DataDirectory `[get, protected set]`
	Directory for data and messages exchange through files. More...

string	NeuralNetworkPath `[get, protected set]`
	File path of the file where complete (usually trained) neural network is stored. Setter takes only pure file name, without path information. If set to null then file path is set to null and will be recalculated when getter is called. More...

string	NeuralDataDefinitionPath `[get, protected set]`
	File path of the input and output data definition file. Setter takes only pure file name, without path information. If set to null then file path is set to null and will be recalculated when getter is called. More...

string	SimulationDataDefinitionPath `[get, protected set]`
	File path of the input and output data definition file for simulator. Setter takes only pure file name, without path information. If set to null then file path is set to null and will be recalculated when getter is called. More...

string	NeuralVerificationDataPath `[get, protected set]`
	File path of the verification data file. Setter takes only pure file name, without path information. If set to null then file path is set to null and will be recalculated when getter is called. More...

string	NeuralTrainingDataPath `[get, protected set]`
	File path of the training data file. Setter takes only pure file name, without path information. If set to null then file path is set to null and will be recalculated when getter is called. More...

string	NeuralInputPath `[get, protected set]`
	File path of the file with input parameters. Setter takes only pure file name, without path information. If set to null then file path is set to null and will be recalculated when getter is called. More...

string	NeuralInputXmlPath `[get, protected set]`
	File path of the input parameters file in XML format. Setter takes only pure file name, without path information. If set to null then file path is set to null and will be recalculated when getter is called. More...

string	NeuralOutputPath `[get, protected set]`
	File path of the file for storing approximated output values. Setter takes only pure file name, without path information. If set to null then file path is set to null and will be recalculated when getter is called. More...

string	NeuralOutputeXmlPath `[get, protected set]`
	File path of the file for storing approximated output values in XML format. Setter takes only pure file name, without path information. If set to null then file path is set to null and will be recalculated when getter is called. More...

string	MsgNeuralBusyPath `[get, protected set]`
	File path of the message file indicating that approximator is busy by performing a job. Setter takes only pure file name, without path information. If set to null then file path is set to null and will be recalculated when getter is called. More...

string	MsgNeuralInputReadyPath `[get, protected set]`
	File path of the message file indicating taht input data is ready to be processed. Setter takes only pure file name, without path information. If set to null then file path is set to null and will be recalculated when getter is called. More...

string	MsgNeuralOutputReadyPath `[get, protected set]`
	File path of the message file indicating that the approximated output is ready to be read. Setter takes only pure file name, without path information. If set to null then file path is set to null and will be recalculated when getter is called. More...

Properties inherited from IG.Lib.ILockable
object	Lock `[get]`

Private Member Functions
	MappingApproximationFileManager ()

Private Attributes
string	_mappingDefinitionFilename = NeuralFileConst.MappingDefinitionFilename

string	_mappingDefinitionPath = null

string	_functionInputFilename = NeuralFileConst.FunctionInputFilename

string	_functionInputPath = null

string	_functionOutputFilename = NeuralFileConst.FunctiOutputFilename

string	_functionOutputPath = null

string	_msgFunctionInputReadyFilename = NeuralFileConst.MsgFunctionInputReadyFilename

string	_msgFunctionInputReadyPath = null

string	_msgFunctionOutputReadyFilename = NeuralFileConst.MsgFunctionOutputReadyFilename

string	_msgFunctionOutputReadyPath = null

IDataMapper	_mapperDefinition = null

Static Private Attributes
static DataMapperIdentity	_aux = null

Additional Inherited Members
Protected Attributes inherited from IG.Neural.NeuraApproximationFileManager
string	_dataDirectory = null

Detailed Description

File manager for mapping file client and server.

$A tako78 Jul11; Igor Jul11;

Constructor & Destructor Documentation

IG.Neural.MappingApproximationFileManager.MappingApproximationFileManager ( )

inlineprivate

IG.Neural.MappingApproximationFileManager.MappingApproximationFileManager ( string directoryPath )

inline

Constructs a new file manager for mapping approximation file client/server that operates in the specified directory.

Parameters

directoryPath Operation directory for data and message exchange through files.

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IG.Neural.MappingApproximationFileManager.MappingApproximationFileManager	(	string	directoryPath,
		DataMapperSimple	mapper
	)

inline

Parameters

directoryPath
mapper

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Member Function Documentation

void IG.Neural.MappingApproximationFileManager.SetFunctionInputReady ( )

inline

Sets the falg that indicates that the reduced approximation input data is ready.

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Referenced by IG.Neural.NeuralAllpicationCommands.CmdNeuralCalculateMappingApproximationServer().

void IG.Neural.MappingApproximationFileManager.ClearFunctionInputReady ( )

inline

Clears the falg that indicates that the reduced approximation input data is ready.

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bool IG.Neural.MappingApproximationFileManager.IsFunctionInputReady ( )

inline

Returns value of the falg that indicates whether the reduced approximation input data is ready.

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void IG.Neural.MappingApproximationFileManager.SetFunctionOutputReady ( )

inline

Sets the falg that indicates that the reduced approximation output data is ready.

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void IG.Neural.MappingApproximationFileManager.ClearFunctionOutputReady ( )

inline

Clears the falg that indicates that the reduced approximation output data is ready.

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Referenced by IG.Neural.NeuralAllpicationCommands.CmdNeuralCalculateMappingApproximationServer().

bool IG.Neural.MappingApproximationFileManager.IsFunctionOutputReady ( )

inline

Returns value of the falg that indicates whether the reduced approximation output data is ready.

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void IG.Neural.MappingApproximationFileManager.ClearMessages ( )

inline

Clears all messages for neural approximation client and server.

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virtual void IG.Neural.MappingApproximationFileManager.ReadFunctionInput ( ref IVector inputParameters )

inlinevirtual

Reads function reduced input parameters form the file at standard location.

Parameters

inputParameters Object where parameters are stored.

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References IG.Num.VectorBase.LoadJson().

virtual void IG.Neural.MappingApproximationFileManager.WriteFunctionInput ( IVector inputParameters )

inlinevirtual

Writes function reduced input parameters to standard location.

Parameters

inputParameters Parameters to be written.

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References IG.Num.VectorBase.SaveJson().

virtual void IG.Neural.MappingApproximationFileManager.ReadFunctionOutput ( ref IVector outputValues )

inlinevirtual

Reads Function reduced output values from the file at standard location.

Parameters

outputValues Object where the read outut values are stored.

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References IG.Num.VectorBase.LoadJson().

virtual void IG.Neural.MappingApproximationFileManager.WriteFunctionOutput ( IVector outputValues )

inlinevirtual

Writes function reduced outut values to the file at standard location.

Parameters

outputValues Output values that are written.

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References IG.Num.VectorBase.SaveJson().

virtual void IG.Neural.MappingApproximationFileManager.LoadDataDefinition ( ref InputOutputDataDefiniton definitionData )

inlinevirtual

Loads the definition data from the file at standard location.

Parameters

definitionData Object where the definition data is stored.

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References IG.Num.InputOutputDataDefiniton.LoadJson().

virtual void IG.Neural.MappingApproximationFileManager.LoadMappingDefinition ( ref MappingDefinition mappingDefinition )

inlinevirtual

Loads the mapping definition data from the file at standard location.

Parameters

mappingDefinition Object where the mapping definition is stored.

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References IG.Neural.MappingDefinition.LoadJson().

virtual void IG.Neural.MappingApproximationFileManager.ClientTestCalculateMappingApproximation	(	string	functionInputFilePath,
		string	functionOutputFilePath
	)

inlinevirtual

Performs client-side test calculation of neural network based approximation where input parameters are read from a specified function JSON file with reduced input parameters, copies to specified JSON file with total inputs and calculated output values are written to the specified file.

Parameters

functionInputFilePath	Path to the JSON file where input parameters are read from. The file pointed at must exist.
functionOutputFilePath	Path of a file where the calculated approximated values are written to. It can be null or empty string, in this case parameters are not written to a file (but they are still output on console).

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References IG.Num.VectorBase.LoadJson().

virtual void IG.Neural.MappingApproximationFileManager.ServerCalculateMappingApproximation ( )

inlinevirtual

Performs neural network-based approximation at prescribed reduced input parameters and saves results. Messages are set and cleared appropriately. This method read reduced input parameters from standard location, mapps input parameters, loads trained neural network, calculates approximated outpur values, mapps output values, and stores them to the standard location.

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Member Data Documentation

string IG.Neural.MappingApproximationFileManager._mappingDefinitionFilename = NeuralFileConst.MappingDefinitionFilename

private

string IG.Neural.MappingApproximationFileManager._mappingDefinitionPath = null

private

string IG.Neural.MappingApproximationFileManager._functionInputFilename = NeuralFileConst.FunctionInputFilename

private

string IG.Neural.MappingApproximationFileManager._functionInputPath = null

private

string IG.Neural.MappingApproximationFileManager._functionOutputFilename = NeuralFileConst.FunctiOutputFilename

private

string IG.Neural.MappingApproximationFileManager._functionOutputPath = null

private

string IG.Neural.MappingApproximationFileManager._msgFunctionInputReadyFilename = NeuralFileConst.MsgFunctionInputReadyFilename

private

string IG.Neural.MappingApproximationFileManager._msgFunctionInputReadyPath = null

private

string IG.Neural.MappingApproximationFileManager._msgFunctionOutputReadyFilename = NeuralFileConst.MsgFunctionOutputReadyFilename

private

string IG.Neural.MappingApproximationFileManager._msgFunctionOutputReadyPath = null

private

DataMapperIdentity IG.Neural.MappingApproximationFileManager._aux = null

staticprivate

IDataMapper IG.Neural.MappingApproximationFileManager._mapperDefinition = null

private

Property Documentation

DataMapperIdentity IG.Neural.MappingApproximationFileManager.Aux

staticgetprivate

Initialize DataMapperIdentity object for identity copying.

Initializing is performed only once.

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IDataMapper IG.Neural.MappingApproximationFileManager.MapperDefinition

getset

Initialize DataMapperIdentity object for identity copying if mapper is null. Setter takes DataMapperSimple object.

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string IG.Neural.MappingApproximationFileManager.MappingDefinitionPath

getprotected set

File path of the input and output mapping definition file. Setter takes only pure file name, without path information. If set to null then file path is set to null and will be recalculated when getter is called.

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string IG.Neural.MappingApproximationFileManager.FunctionInputPath

getprotected set

File path of the file with reduced input parameters. Setter takes only pure file name, without path information. If set to null then file path is set to null and will be recalculated when getter is called.

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string IG.Neural.MappingApproximationFileManager.FunctionOutputPath

getprotected set

File path of the file for storing reduced approximated output values. Setter takes only pure file name, without path information. If set to null then file path is set to null and will be recalculated when getter is called.

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string IG.Neural.MappingApproximationFileManager.MsgFunctionInputReadyPath

getprotected set

File path of the message file indicating that reduced input data is ready to be processed. Setter takes only pure file name, without path information. If set to null then file path is set to null and will be recalculated when getter is called.

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string IG.Neural.MappingApproximationFileManager.MsgFunctionOutputReadyPath

getprotected set

File path of the message file indicating that the reduced approximated output is ready to be read. Setter takes only pure file name, without path information. If set to null then file path is set to null and will be recalculated when getter is called.

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

igbase/numeric/approximation/neural/testneural/NeuralFileManager.cs

Public Member Functions

Properties

Private Member Functions

Private Attributes

Static Private Attributes

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation

Property Documentation