Oh, that looks like an awesome package, thanks for sharing!
PS: Just noticed that there's a little problem on the readthedocs page, the
Edit on GitHub button links to
https://github.com/jmschrei/pomegranate/blob/master/docs/source/index.rst which
doesn't exist.
> On Mar 30, 2016, at 12:52 PM, Jacob Schreiber <jmschreibe...@gmail.com> wrote:
>
> Hello all!
>
> I've just released a new version of pomegranate, which is a probabilistic
> modelling package for Python with a speedy cython implementation. It
> currently supports the following:
>
> * a wide range of probability distributions
> * general mixture models
> * hidden markov models
> * naive bayes
> * markov chains
> * discrete bayesian networks
> * factor graphs
> * finite state machines
>
> It currently outperforms other population implementations in terms of
> training time, such as hmmlearn for hmms and scikit-learn for GMM and Naive
> Bayes.
>
> Please see my full post here:
> https://www.reddit.com/r/Python/comments/4cllym/pomegranate_v040_fast_and_flexible_probabilistic/
>
> <https://www.reddit.com/r/Python/comments/4cllym/pomegranate_v040_fast_and_flexible_probabilistic/>
>
> and let me know if you have any questions of comments! I'd love any feedback
> you have.
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