CrossValidationTModel, TLearner, TInput, TOutputLearn Method

Learns a model that can map the given inputs to the given outputs.

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

Syntax

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public override CrossValidationResult<TModel, TInput, TOutput> Learn(
	TInput[] x,
	TOutput[] y,
	double[] weights = null
)

Public Overrides Function Learn ( 
	x As TInput(),
	y As TOutput(),
	Optional weights As Double() = Nothing
) As CrossValidationResult(Of TModel, TInput, TOutput)

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Parameters

x: Type: TInput
The model inputs.
y: Type: TOutput
The desired outputs associated with each x.
weights (Optional): Type: SystemDouble
The weight of importance for each input-output pair (if supported by the learning algorithm).

Return Value

Type: CrossValidationResultTModel, TInput, TOutput
A model that has learned how to produce y given x.

Implements

ISupervisedLearningTModel, TInput, TOutputLearn(TInput, TOutput, Double)

Exceptions

Exception	Condition
InvalidOperationException	Please set the Learner property before calling the Learn(x, y) method. or Please set the Learner property before calling the Learn(x, y) method. or The number of folds can not exceed the total number of samples in the data set.

Reference

CrossValidationTModel, TLearner, TInput, TOutput Class

Accord.MachineLearning.Performance Namespace

CrossValidationAddLanguageSpecificTextSet("LSTD68218B1_0?cs=&lt;|vb=(Of |cpp=&lt;|fs=&lt;'|nu=(");TModel, TLearner, TInput, TOutputAddLanguageSpecificTextSet("LSTD68218B1_1?cs=&gt;|vb=)|cpp=&gt;|fs=&gt;|nu=)");AddLanguageSpecificTextSet("LSTD68218B1_2?cpp=::|nu=.");Learn Method

Parameters

Return Value

Implements

Reference

CrossValidationTModel, TLearner, TInput, TOutputLearn Method