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

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).

Type: TModel
A model that has learned how to produce y given x.

ISupervisedLearningAddLanguageSpecificTextSet("LST37790DCC_0?cs=&lt;|vb=(Of |cpp=&lt;|fs=&lt;'|nu=(");TModel, TInput, TOutputAddLanguageSpecificTextSet("LST37790DCC_1?cs=&gt;|vb=)|cpp=&gt;|fs=&gt;|nu=)");AddLanguageSpecificTextSet("LST37790DCC_2?cpp=::|nu=.");Learn Method