Error with HMM analysis

[ffavelar]

Discussed in p-j-smith/lipyphilic#117

^{Originally posted by ffavelar July 25, 2023}
I'm trying to run the tutorial of the Hidden Markov Model in Ubuntu 20.04.6 LTS (GNU/Linux 5.15.0-75-generic x86_64) and Python 3.9.10. I get this output:

100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 51/51 [00:01<00:00, 29.28it/s]
100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 51/51 [00:01<00:00, 46.18it/s]
0%| | 0/3 [00:00<?, ?it/s]
MultinomialHMM has undergone major changes. The previous version was implementing a CategoricalHMM (a special case of MultinomialHMM). This new implementation follows the standard definition for a Multinomial distribution (e.g. as in https://en.wikipedia.org/wiki/Multinomial_distribution). See these issues for details:
hmmlearn/hmmlearn#335
hmmlearn/hmmlearn#340
0%| | 0/3 [00:00<?, ?it/s]
Traceback (most recent call last):
File "HiddenMarkovModel.py", line 370, in
model = model.fit(
File "/home/jorge/.local/lib/python3.9/site-packages/hmmlearn/base.py", line 469, in fit
self._check()
File "/home/jorge/.local/lib/python3.9/site-packages/hmmlearn/hmm.py", line 907, in check
raise ValueError(
ValueError: emissionprob must have shape (n_components, n_features)

I understand that emissionprob_ does not have the proper shape, but I don't know how to fix the code. Any help will be appreciated.

[p-j-smith]

Thanks for letting me know about this @ffavelar ! I'll update the notebook to use CategoricalHMM rather than MultinomialHMM