BaseHiddenMarkovClassifierLearningTClassifier, TModel, TDistribution, TObservationLearn Method

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

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

Syntax

public TClassifier Learn(
	TObservation[][] x,
	int[] y,
	double[] weights = null
)

Public Function Learn ( 
	x As TObservation()(),
	y As Integer(),
	Optional weights As Double() = Nothing
) As TClassifier

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