You can first take a look at this page:
http://scikit-learn.org/stable/developers/index.html .
As to the model, is it a classification / clustering / factorization
algorithm or something?
On Wed, Nov 28, 2012 at 3:08 PM, <[email protected]> wrote:
> Dear scikit-learn community:
>
>
> Block Sparse Bayesian Learning is a powerful CS algorithm for recovering
> block sparse signals with structures, and shows the additional benefits of
> reconstruct non-sparse signals, see Dr. zhilin zhang's websites:
> http://dsp.ucsd.edu/~zhilin/BSBL.html
>
>
> I currently implement the BSBL-BO algorithm by Zhang and a fast version of
> BSBL algorithm recently proposed by us, called BSBL-FM, in python. Plus many
> demos using these two codes. Does scikit-learn community welcome such type of
> code ? what is the procedure to submit the code in the mainstream of scikit
> learn?
>
> Thanks for the great project!
>
> Liu benyuan
>
>
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--
Best Wishes
--------------------------------------------
Meng Xinfan（蒙新泛）
Institute of Computational Linguistics
Department of Computer Science & Technology
School of Electronic Engineering & Computer Science
Peking University
Beijing, 100871
China
------------------------------------------------------------------------------
Keep yourself connected to Go Parallel:
INSIGHTS What's next for parallel hardware, programming and related areas?
Interviews and blogs by thought leaders keep you ahead of the curve.
http://goparallel.sourceforge.net
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