NaiveBayesLearningBaseTModel, TDistribution, TInput, TOptionsLearn Method (TInput, Int32, Double)

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

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

Syntax

public virtual TModel Learn(
	TInput[][] x,
	int[][] y,
	double[] weight = null
)

Public Overridable Function Learn ( 
	x As TInput()(),
	y As Integer()(),
	Optional weight As Double() = Nothing
) As TModel

x: Type: TInput
The model inputs.
y: Type: SystemInt32
The desired outputs associated with each x.
weight (Optional): Type: SystemDouble
The weight of importance for each input-output pair.

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