BinaryLearningBaseTModel, TInputLearn Method (TInput, Boolean, Double)

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

public abstract TModel Learn(
	TInput[] x,
	bool[] y,
	double[] weights = null
)

Public MustOverride Function Learn ( 
	x As TInput(),
	y As Boolean(),
	Optional weights As Double() = Nothing
) As TModel

x: Type: TInput
The model inputs.
y: Type: SystemBoolean
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.