Hi Gael,
Thanks for the response. Vandana and I are really excited about
contributing to scikits.
I will go through the GMM code and will put in suggestions for refactoring
- and if possible implement some new features.
Once again, on behalf of Vandana and I, thanks for the reply.
Looking forward to work with you.
Cheers,
Shreyas
On Mon, Jun 4, 2012 at 10:27 PM, Gael Varoquaux <
gael.varoqu...@normalesup.org> wrote:
> Hi Vandana and Shreyas,
>
> Welcome and thanks for the interest,
>
> With regards to MLP (multi-layer perceptrons), David Marek is right now
> working on such feature:
> https://github.com/davidmarek/scikit-learn/tree/gsoc_mlp
> you can probably pitch in with him: 4 eyes are always better than only 2.
>
> With regard to EM for GMM, the scikit-learn has an implementation of this
> class of algorithms in sklearn/mixture/gmm.py. This code is a little bit
> outdated and can probably be improved in terms of readability, speed and
> feature set.
>
> Cheers,
>
> Gaėl
>
> On Mon, Jun 04, 2012 at 04:31:26PM -0700, Vandana Bachani 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,
>
--
Shreyas Ashok Karkhedkar
PhD Candidate
Computer Science
University of Texas at El Paso
email:
sakarkhed...@miners.utep.edu
karkhedkar.shre...@gmail.com
Phone:
+1-240-494-6362
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