IHiddenMarkovModel Interface |
Namespace: Accord.Statistics.Models.Markov
The IHiddenMarkovModel type exposes the following members.
Name | Description | |
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LogInitial |
Gets the log of the initial probabilities (log(pi)) for this model.
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LogTransitions |
Gets the log of the transition matrix (log(A)) for this model.
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Probabilities | Obsolete.
Gets the initial probabilities for this model.
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States |
Gets the number of states of this model.
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Tag |
Gets or sets a user-defined tag.
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Transitions | Obsolete.
Gets the log of the transition matrix (log(A)) for this model.
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Name | Description | |
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Decode |
Calculates the most likely sequence of hidden states
that produced the given observation sequence.
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Evaluate |
Calculates the probability that this model has generated the given sequence.
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Posterior(Array) |
Calculates the probability of each hidden state for each
observation in the observation vector.
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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.
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