HiddenMarkovModelTDistribution, TObservationEvaluate Method (TObservation)

Note: This API is now obsolete.

Calculates the likelihood that this model has generated the given sequence.

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

Syntax

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[ObsoleteAttribute("Please set Algorithm to Forward and call LogLikelihood() instead.")]
public double Evaluate(
	TObservation[] observations
)

<ObsoleteAttribute("Please set Algorithm to Forward and call LogLikelihood() instead.")>
Public Function Evaluate ( 
	observations As TObservation()
) As Double

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Parameters

observations: Type: TObservation
A sequence of observations.

Return Value

Type: Double
The log-likelihood that the given sequence has been generated by this model.

Remarks

Evaluation problem. Given the HMM M = (A, B, pi) and the observation sequence O = {o1, o2, ..., oK}, calculate the probability that model M has generated sequence O. This can be computed efficiently using the either the Viterbi or the Forward algorithms.

Reference

HiddenMarkovModelTDistribution, TObservation Class

Evaluate Overload

Accord.Statistics.Models.Markov Namespace