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fmorenopino / HeterogeneousHMM

Discrete, Gaussian, and Heterogenous HMM models full implemented in Python. Missing data, Model Selection Criteria (AIC/BIC), and Semi-Supervised training supported. Easily extendable with other types of probablistic models.
https://pyhhmm.readthedocs.io/en/latest/
Apache License 2.0
74 stars 14 forks source link

Divergences in utils.py #9

Open giancarloyona opened 7 months ago

giancarloyona commented 7 months ago

Hi all!

I noticed a small divergence in the utils.py file when installing this lib from PyPi and GitHub - in this case, when setting the style for the charts.

The code here is working as intended, but it seems that the code from PyPi is outdated, trying to use the seaborn-ticks, completely missing the implemented check (lines 21-31).

I first installed it from PyPi, so I had an error trying to use it until I installed it from here. Would it be possible to fix the code over PyPi?

Thanks in advance!

Giancarlo

fmorenopino commented 7 months ago

Hi Giancarlo!

If you'd be interested in collaborating and improving the code in any way, we'd be more than grateful, so feel free to commit to the repo, as we cannot address the problem at the moment.

Thanks!