Hi,
As Gael and Olivier said, I am working on mlp this summer, it's my GSOC
project. So there is some existing code (in Cython) and you won't be able
to just use your class project, but you should definitely look at it. I
will be grateful for every help and suggestion. I have got basic
classification working as well, next steps I've got in my todo list are
hinge loss, momentum term and I always need more tests, so the code will be
modified heavily.
Good luck, I have started to work on scikit-learn only recently, but I must
say it's really great project.
David
On Tue, Jun 5, 2012 at 1:31 AM, Vandana Bachani <vandana....@gmail.com>wrote:
> Hi,
> Me and my friend Shreyas want to contribute to the scikit-learn code.
> I want to add code for neural networks (Multi-layer Perceptrons) and
> Shreyas has some ideas for the Expecation-Maximization algorithm and
> Gaussian Mixture Models. Please let us know how we can contribute to the
> code and if we can discuss our ideas with someone on the scikit team so
> that we are not reinventing something that is already there.
> About me: I am a Computer Science Masters student at Texas A&M University
> currently interning at Google. I have a basic version of neural networks
> for classification implemented in python as part of my machine learning
> class project (works well for UCI Datasets). I am planning to extend it for
> regression and optimize it to make it public.
> Shreyas is a PhD student at University of Texas at El Paso and is
> currently interning at Google.
> We are planning to pair program on these ideas to make them scikit worthy.
>
> Thanks,
> --
> Vandana Bachani
> Graduate Student, MSCE
> Computer Science & Engineering Department
> Texas A&M University, College Station
>
>
>
>
> --
> Vandana Bachani
> Graduate Student, MSCE
> Computer Science & Engineering Department
> Texas A&M University, College Station
>
>
>
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