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N - Number of states
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M - Number of outputs
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prior - Prior for the a priori probability for the model.
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A - Transition matrix
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B - Output matrix
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Pi - Initial matrix
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fix_state - A vector to know the states where the output should not be trained.
The complete HMM. Keeps the model parameters in a matrix form.
Alphabetic index
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