AdaBoost< TModel> . Learn Method (Double[] [] ,Boolean[] [] ,Double[] )

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

Namespace: Accord.MachineLearning.Boosting
Assembly: Accord.MachineLearning (in Accord.MachineLearning.dll) Version: 3.8.0

Syntax

public Boost<TModel> Learn(
	double[][] x,
	bool[][] y,
	double[] weights = null
)

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

x: Type:System.Double[][]
The model inputs.
y: Type:System.Boolean[][]
The desired outputs associated with each x.
weights (Optional): Type:System.Double[]
The weight of importance for each input-output pair (if supported by the learning algorithm).

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