CrossValidationTModel, TLearner, TInput, TOutputGetFold Method

Gets a subset of the training and testing sets.

Namespace: Accord.MachineLearning.Performance
Assembly: Accord.MachineLearning (in Accord.MachineLearning.dll) Version: 3.8.0

Syntax

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public TrainValDataSplit<TInput, TOutput> GetFold(
	int validationFoldIndex,
	TInput[] x,
	TOutput[] y,
	double[] weights
)

Public Function GetFold ( 
	validationFoldIndex As Integer,
	x As TInput(),
	y As TOutput(),
	weights As Double()
) As TrainValDataSplit(Of TInput, TOutput)

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Parameters

validationFoldIndex: Type: SystemInt32
Index of the subsample.
x: Type: TInput
The input data x.
y: Type: TOutput
The output data y.
weights: Type: SystemDouble
The weights of each sample.

Return Value

Type: TrainValDataSplitTInput, TOutput
A TrainValDataSplitTInput, TOutput that defines a data split of a subsample of the dataset.

Reference

CrossValidationTModel, TLearner, TInput, TOutput Class

Accord.MachineLearning.Performance Namespace

CrossValidationAddLanguageSpecificTextSet("LST67713DC8_0?cs=&lt;|vb=(Of |cpp=&lt;|fs=&lt;'|nu=(");TModel, TLearner, TInput, TOutputAddLanguageSpecificTextSet("LST67713DC8_1?cs=&gt;|vb=)|cpp=&gt;|fs=&gt;|nu=)");AddLanguageSpecificTextSet("LST67713DC8_2?cpp=::|nu=.");GetFold Method

Parameters

Return Value

Reference

CrossValidationTModel, TLearner, TInput, TOutputGetFold Method