Class FunctionDataSource

Namespace

NeuralNetworks.DataSources

Assembly

NeuralNetworks.dll

public class FunctionDataSource : DataSource<float[,], float[,]>

Inheritance

object

DataSource<float[,], float[,]>

FunctionDataSource

Inherited Members

DataSource<float[,], float[,]>.GetData()

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Constructors

FunctionDataSource(float[,], Func<float[], float>, float, SeededRandom?)

public FunctionDataSource(float[,] arguments, Func<float[], float> function, float testRatio = 0.7, SeededRandom? random = null)

Parameters

arguments float[,]

function Func<float[], float>

testRatio float

random SeededRandom

Methods

GetData()

Gets the data for training and testing.

public override (float[,] xTrain, float[,] yTrain, float[,]? xTest, float[,]? yTest) GetData()

Returns

(float[,] xTrain, float[,] yTrain, float[,] xTest, float[,] yTest)

A tuple containing the training and (optional) testing data.