ViterbiLearningTDistribution, TObservationLearn Method

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

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

Syntax

public HiddenMarkovModel<TDistribution, TObservation> Learn(
	TObservation[][] x,
	double[] weights = null
)

Public Function Learn ( 
	x As TObservation()(),
	Optional weights As Double() = Nothing
) As HiddenMarkovModel(Of TDistribution, TObservation)

x: Type: TObservation
The model inputs.
weights (Optional): Type: SystemDouble
The weight of importance for each input sample.

Type: HiddenMarkovModelTDistribution, TObservation
A model that has learned how to produce suitable outputs given the input data x.

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