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Showing content from http://accord-framework.net/docs/html/M_Accord_MachineLearning_ISupervisedLearning_3_Learn.htm below:

ISupervisedLearningTModel, TInput, TOutputLearn Method

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

Namespace:  Accord.MachineLearning
Assembly:

Accord.Statistics (in Accord.Statistics.dll) Version: 3.8.0

Syntax 
TModel Learn(
	TInput[] x,
	TOutput[] y,
	double[] weights = null
)
Function Learn ( 
	x As TInput(),
	y As TOutput(),
	Optional weights As Double() = Nothing
) As TModel
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:

TModel

A model that has learned how to produce

y

given

x

.

See Also

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