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 --~--~---------~--~----~------------~-------~--~----~ To post to this group, send email to sage-devel@googlegroups.com To unsubscribe from this group, send email to [EMAIL PROTECTED] For more options, visit this group at http://groups.google.com/group/sage-devel URLs: http://www.sagemath.org -~----------~----~----~----~------~----~------~--~---