Class DataSource<TInputData, TPrediction>

Namespace

NeuralNetworks.DataSources

Assembly

NeuralNetworks.dll

public abstract class DataSource<TInputData, TPrediction> where TInputData : notnull where TPrediction : notnull

Type Parameters

TInputData

TPrediction

Inheritance

object

DataSource<TInputData, TPrediction>

Derived

FunctionDataSource

SimpleDataSource<TInputData, TPrediction>

Inherited Members

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Methods

GetData()

Gets the data for training and testing.

public abstract (TInputData xTrain, TPrediction yTrain, TInputData? xTest, TPrediction? yTest) GetData()

Returns

(TInputData xTrain, TPrediction yTrain, TInputData xTest, TPrediction yTest)

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