Hi Shreyas.
In particular, the VBGMM and DPGMM might need some attention.
Once you are a bit familiar with the GMM code, you could have a look
at issue 393 <https://github.com/scikit-learn/scikit-learn/issues/393>.
Any help would be much appreciated :)
Cheers,
Andy
Am 05.06.2012 08:07, schrieb Shreyas Karkhedkar:
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
<[email protected] <mailto:[email protected]>>
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outdated and can probably be improved in terms of readability,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:
[email protected] <mailto:[email protected]>
[email protected] <mailto:[email protected]>
Phone:
+1-240-494-6362
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