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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.

Home Page:https://pyhhmm.readthedocs.io/en/latest/

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vectorized version

nicolasviboo opened this issue · comments

commented

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

commented

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.