QuasiNewtonLearningTLearn Method

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

Namespace: Accord.Statistics.Models.Fields.Learning
Assembly: Accord.Statistics (in Accord.Statistics.dll) Version: 3.8.0

Syntax

public ConditionalRandomField<T> Learn(
	T[][] x,
	int[][] y,
	double[] weights = null
)

Public Function Learn ( 
	x As T()(),
	y As Integer()(),
	Optional weights As Double() = Nothing
) As ConditionalRandomField(Of T)

x: Type: T
The model inputs.
y: Type: SystemInt32
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: ConditionalRandomFieldT
A model that has learned how to produce y given x.

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