BootstrapTModel, 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 BootstrapResult<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 BootstrapResult(Of TModel, TInput, TOutput)

Request Example View Source

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: BootstrapResultTModel, 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.

Reference

BootstrapTModel, TInput, TOutput Class

Accord.MachineLearning.Performance Namespace

BootstrapAddLanguageSpecificTextSet("LST279FC60C_0?cs=&lt;|vb=(Of |cpp=&lt;|fs=&lt;'|nu=(");TModel, TInput, TOutputAddLanguageSpecificTextSet("LST279FC60C_1?cs=&gt;|vb=)|cpp=&gt;|fs=&gt;|nu=)");AddLanguageSpecificTextSet("LST279FC60C_2?cpp=::|nu=.");Learn Method

Parameters

Return Value

Implements

Reference

BootstrapTModel, TInput, TOutputLearn Method