BaseViterbiLearningTRun Method

Runs the learning algorithm.

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

Syntax

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public double Run(
	params T[] observations
)

Public Function Run ( 
	ParamArray observations As T()
) As Double

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Parameters

observations: Type: T

Return Value

Type: Double

Remarks

Learning problem. Given some training observation sequences O = {o1, o2, ..., oK} and general structure of HMM (numbers of hidden and visible states), determine HMM parameters M = (A, B, pi) that best fit training data.

Reference

BaseViterbiLearningT Class

Accord.Statistics.Models.Markov.Learning Namespace

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Parameters

Return Value

Reference

BaseViterbiLearningTRun Method