The fourth argument in the following routine is called
"emission_symbols", while the INPUTS section reports "emission_state".

hmm.DiscreteHiddenMarkovModel(A, B, pi=None, emission_symbols=None,
name=None, normalize=True)
n
    INPUTS:
        A  -- square matrix of doubles; the state change probabilities
        B  -- matrix of doubles; emission probabilities
        pi -- list of floats; probabilities for each initial state
        emission_state -- list of B.ncols() symbols (just used for
printing)
        name -- (optional) name of the model
        normalize -- (optional; default=True) whether or not to
normalize
                     the model so the probabilities add to 1

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