Hi Albert.
This is best discussed on the mailing list (cc).
I'm not sure adding deep belief networks is currently within the scope
of the project.
I haven't heard of real-world applications in a while, and we generally
want to keep the deep learning small, as we have no GPU support
and there are other libraries out there. Also see
http://scikit-learn.org/dev/faq.html#why-is-there-no-support-for-deep-learning-will-there-be-support-for-deep-learning-in-scikit-learn
You are welcome to create a "contributed package" by contributing to the
new organization here:
https://github.com/scikit-learn-contrib/scikit-learn-contrib
that will probably give your code some visibility and will provide you
with some feedback.
Cheers,
Andy
On 03/10/2016 11:05 AM, Albert Busqué wrote:
Hi Andreas,
My name is Albert and I'd like to contribute to scikit-learn project.
I coded some time ago a Deep Belief Network algorithm in python. This
implementation was designed to be compatible with scikit-learn (check
the project out here
<https://github.com/albertbup/deep-belief-network>) as it was thought
to be a possible contribution to the project.
I really don't know who's in charge of this kind of things so the
reason why I've got in touch with you is basically because I had seen
you contributing in neural networks part so I thought you'll be more
or less the right guy to ask.
Please, let me know if there is anybody in charge of managing the
contributions.
Thanks for your time,
Albert.
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