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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

vectorized version #7

Closed nicolasviboo closed 1 month ago

nicolasviboo commented 11 months ago

Hi guys,

I think that your library is super useful. Especially being able to combine continuous and discrete features. It is however not vectorized with respect to the number of samples. Do you plan to have a vectorized version ?

Best, Nicolas

semese commented 11 months ago

Hi Nicolas,

Thanks for your message :)

As you might have noticed, we haven't been working on the library anymore, as it was just a side project for us for our research at the time. But if you'd be interested in collaborating and improving the code in any way, we'd be more than grateful.