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Showing content from http://accord-framework.net/docs/html/T_Accord_Statistics_Models_Markov_HiddenMarkovModel_1.htm below:

HiddenMarkovModelTDistribution Class

Note: This API is now obsolete.

Inheritance Hierarchy Namespace: Accord.Statistics.Models.Markov
Assembly:

Accord.Statistics (in Accord.Statistics.dll) Version: 3.8.0

Syntax

[SerializableAttribute]
[ObsoleteAttribute("Please use HiddenMarkovModel<TDistribution, TObservation> instead.")]
public class HiddenMarkovModel<TDistribution> : BaseHiddenMarkovModel, 
	IHiddenMarkovModel, ICloneable
where TDistribution : IDistribution

<SerializableAttribute>
<ObsoleteAttribute("Please use HiddenMarkovModel<TDistribution, TObservation> instead.")>
Public Class HiddenMarkovModel(Of TDistribution As IDistribution)
	Inherits BaseHiddenMarkovModel
	Implements IHiddenMarkovModel, ICloneable

Request Example View Source Type Parameters

TDistribution

The HiddenMarkovModelTDistribution type exposes the following members.

Constructors Properties Methods Name Description Clone

Creates a new object that is a copy of the current instance.

Decode(Array)

Calculates the most likely sequence of hidden states that produced the given observation sequence.

Decode(Array, Double)

Calculates the most likely sequence of hidden states that produced the given observation sequence.

Equals

Determines whether the specified object is equal to the current object.

(Inherited from Object.) Evaluate(Array)

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

Evaluate(Array, Int32)

Calculates the log-likelihood that this model has generated the given observation sequence along the given state path.

Finalize

Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection.

(Inherited from Object.) Generate(Int32)

Generates a random vector of observations from the model.

Generate(Int32, Int32, Double)

Generates a random vector of observations from the model.

GetHashCode

Serves as the default hash function.

(Inherited from Object.) GetType

Gets the Type of the current instance.

(Inherited from Object.) Load(Stream)

Loads a hidden Markov model from a stream.

Load(String)

Loads a hidden Markov model from a file.

MemberwiseClone

Creates a shallow copy of the current Object.

(Inherited from Object.) Posterior(Array)

Calculates the probability of each hidden state for each observation in the observation vector.

Posterior(Array, Int32)

Calculates the probability of each hidden state for each observation in the observation vector, and uses those probabilities to decode the most likely sequence of states for each observation in the sequence using the posterior decoding method. See remarks for details.

Predict(Double)