IG.Num.SampledDataElement Class Reference

A single element of a sampled data, contains vector of input parameters and vector of output values. More...

Collaboration diagram for IG.Num.SampledDataElement:

Public Member Functions
	SampledDataElement (IVector input, IVector output)
	Creates a new sampled data element with the specified vectors of input parameters and corresponding output values. More...

Static Public Member Functions
static void	UpdateElemetIndices (IEnumerable< SampledDataElement > elements)
	Updates indices of sampled data elements contained in the specified collection in such a way that they correspond with their position in collection. More...

Protected Attributes
IVector	_inputParameters
IVector	_outputValues

Properties
int	Index [get, set]
	Idex of the current sampled data element in arrays or list (or in SampledDataSet objects), auxiliary information that facilitates identification and access to specific data chunk out of those that are worked out. More...
virtual IVector	InputParameters [get, set]
	Vector of input parameters of a single element of sampled data. More...
virtual IVector	OutputValues [get, set]
	Vector of input parameters of a single element of sampled data. More...
virtual int	InputLength [get]
	Returns number of input parameters of the current sampled data element. More...
virtual int	OutputLength [get]
	Returns number of output values of the current sampled data element. More...

Private Attributes
int	_index

Detailed Description

A single element of a sampled data, contains vector of input parameters and vector of output values.

$A Igor Jun08;

Constructor & Destructor Documentation

IG.Num.SampledDataElement.SampledDataElement ( IVector  input, IVector  output  )

inline

Creates a new sampled data element with the specified vectors of input parameters and corresponding output values.

Parameters

input	Input parameters.
output	Corresponding output values.

Member Function Documentation

static void IG.Num.SampledDataElement.UpdateElemetIndices ( IEnumerable< SampledDataElement >  elements )

inlinestatic

Updates indices of sampled data elements contained in the specified collection in such a way that they correspond with their position in collection.

In this way, element indices can be used to directly access elements within the collection (without a search).

Parameters

elements

Collection of sampled data elements for which element indices are updated.

References IG.Num.SampledDataElement.Index.

Referenced by IG.Num.SampledDataSet.UpdateElementIndices().

Member Data Documentation

int IG.Num.SampledDataElement._index

private

IVector IG.Num.SampledDataElement._inputParameters

protected

IVector IG.Num.SampledDataElement._outputValues

protected

Property Documentation

int IG.Num.SampledDataElement.Index

getset

Idex of the current sampled data element in arrays or list (or in SampledDataSet objects), auxiliary information that facilitates identification and access to specific data chunk out of those that are worked out.

Referenced by IG.Num.SampledDataElementDto.CopyFromPlain(), IG.Num.SampledDataSet.GetNumInputDuplicates(), IG.Num.SampledDataSet.RemoveInputDuplicates(), IG.Script.LoadableScriptShellNeuralBase.TestClosestPoints(), and IG.Num.SampledDataElement.UpdateElemetIndices().

virtual IVector IG.Num.SampledDataElement.InputParameters

getset

Vector of input parameters of a single element of sampled data.

Referenced by IG.Num.NeuralApproximatorBase.CalculateTrainingVerificationOutputs(), IG.Num.SampledDataSet.ComparerInputDistance.Compare(), IG.Num.SampledDataElementDto.CopyFromPlain(), IG.Num.SampledDataSet.ComparerInputDistance.Distance(), IG.Num.SampledDataSet.GetInputParameters(), IG.Num.SampledDataSet.GetNumInputDuplicates(), IG.Num.PointContainerSampledDataElement.GetPointCoordinates(), IG.Num.DistanceComparerSampledDataElement.GetPointCoordinates(), IG.Neural.NeuralApproximatorAforge.PrepareInternalTrainingData(), IG.Num.NeuralApproximatorAforgeIT.PrepareInternalTrainingData(), IG.Num.SampledDataSet.RemoveInputDuplicates(), IG.Num.SampledDataSet.SetInputParameters(), IG.Neural.NeuralTadej.SmoothingTrainingData(), IG.Num.SampledDataCsv.StoreData(), IG.Script.LoadableScriptShellNeuralBase.TestClosestPoints(), and IG.Num.SampledDataSet.ToString().

virtual IVector IG.Num.SampledDataElement.OutputValues

getset

Vector of input parameters of a single element of sampled data.

Referenced by IG.Num.SampledDataSet.ComparerOutputDistance.Compare(), IG.Num.SampledDataElementDto.CopyFromPlain(), IG.Num.SampledDataSet.ComparerOutputDistance.Distance(), IG.Num.SampledDataSet.GetOutputValues(), IG.Num.PointContainerSampledDataElement.GetPointOutputVector(), IG.Script.LoadableScriptShellNeuralBase.ParSimAddResults(), IG.Neural.NeuralApproximatorAforge.PrepareInternalTrainingData(), IG.Num.NeuralApproximatorAforgeIT.PrepareInternalTrainingData(), IG.Num.SampledDataSet.SetOutputValues(), IG.Neural.NeuralTadej.SmoothingTrainingData(), IG.Num.SampledDataCsv.StoreData(), IG.Script.LoadableScriptShellNeuralBase.TestClosestPoints(), and IG.Num.SampledDataSet.ToString().

virtual int IG.Num.SampledDataElement.InputLength

get

Returns number of input parameters of the current sampled data element.

Referenced by IG.Num.SampledDataSet.AddElement().

virtual int IG.Num.SampledDataElement.OutputLength

get

Returns number of output values of the current sampled data element.

Referenced by IG.Num.SampledDataSet.AddElement().

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

• igbase/numeric/approximation/sampleddata/SampledData.cs