Whoops missed the previous replies. Rob is right, there is no support for
continuous variables in pystruct, and I don't know about off the shelf
solvers as this is not my field.
On Mar 19, 2014 3:54 PM, "Josh Wasserstein" <[email protected]> wrote:
> Hi,
>
> I am a big fan of scikit-learn. I have been using it for two years now in
> my Ph.D. and later in industry, and I wanted to say thank the community
> that makes it possible.
>
> I recently started to play with PyMC, which is great. However, I noticed
> what seems to be a gap in machine learning methods for Python.
>
> I have been unable to find any variational methods for inference in
> Python. For example, belief propagation, loopy belief propagation, TRW, and
> the many, many variants of these methods.
>
> Are there any plans in Scikit-Learn to include support for some of these
> algorithms? If not, does anyone have any pointers on where I can find
> Python-friendly packages for this type of inference?
>
> Generally speaking, assuming that you have a e.g. Bayesian network, and
> you want to compute the posterior over some variables using variational
> methods, how would you proceed with the existing landscape in Python?
>
> Thanks a a lot,
>
> Josh
>
>
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"Graph Databases" is the definitive new guide to graph databases and their
applications. Written by three acclaimed leaders in the field,
this first edition is now available. Download your free book today!
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