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" wrote:
> Hi,
>
> I am a big fan of scikit-learn. I have been using it for t
Hi Josh.
Have you looked at opengm (c++ with good Python interface)for inference and
pystruct for learning?
They focus on discrete problems, though, and so don't contain variational
methods.
Cheers,
Andy
On Mar 19, 2014 3:54 PM, "Josh Wasserstein" wrote:
> Hi,
>
> I am a big fan of scikit-learn.
I'm not sure anything pystruct binds to supports continuous variables, but
that support is certainly in scope.
On Wed, Mar 19, 2014 at 1:53 PM, Josh Wasserstein wrote:
> Thanks a lot Vlad. Do you know if OepnGM2 can handle continuous
> variables/PDFs?
>
> Josh
>
>
>
> On Wed, Mar 19, 2014 at 11:
Thanks a lot Vlad. Do you know if OepnGM2 can handle continuous
variables/PDFs?
Josh
On Wed, Mar 19, 2014 at 11:47 AM, Vlad Niculae wrote:
> Hi John,
>
> I believe general inference methods are out of scope for scikit-learn.
> Even general structured learning algorithms are not in scope at the
Hi John,
I believe general inference methods are out of scope for scikit-learn.
Even general structured learning algorithms are not in scope at the
moment, as it's hard to fit problems in numpy arrays. For learning,
you might want to check out pystruct [1].
If you just want inference, opengm
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
