Is the following a good idea for GSoC 2015.
* Latent Dirichlet Allocation using Markov Chain Monte Carlo
* Extend to do inference with online stream of documents.
Anirudh
On 11 February 2015 at 15:32, Andy <t3k...@gmail.com> wrote:
> The MLP is pretty close to being merged, I think the autoencoder, too.
> We don't want to rely on Theano, and there is already pylearn2, which is a
> great library for deep learning in python.
> I'm not sure if pylearn2 is completely sklearn compatible, but I don't
> think there is any need to create another high-level interface.
>
>
> On 02/11/2015 05:24 PM, Christof Angermueller wrote:
>
> as far as I know, sklearn has only an RBM module, but does not support
> multilayer perceptrons (MLPs), autoencoder, or recurrent neural networks.
> Are there any plans do extend sklearn by some neural network related
> modules?
> There was a GSoC project on neural networks last year (
> http://goo.gl/buHkyv), but I think it was not merged in. Instead of
> creating own modules, one might also provide an interface to theano, or
> other nnet libraries.
>
> Christof
>
> On 10/02/2015 15:41, Andy wrote:
>
> I'd say this years JMLR is too fresh ;)
>
>
> On 02/09/2015 04:31 PM, Ronnie Ghose wrote:
>
> are we interested in more discriminant methods? There were a few more @
> JMLR this year
>
> On Mon, Feb 9, 2015 at 4:28 PM, Alexandre Gramfort <
> alexandre.gramf...@m4x.org> wrote:
>
>> please wait a bit so we finalize the list. It's not definitive.
>>
>> A
>>
>> On Mon, Feb 9, 2015 at 6:39 PM, ragv ragv <rag...@gmail.com> wrote:
>> > Hi,
>> >
>> > I saw implementing GAMs as one of the suggested topics for GSoC 2015.
>> > Could I take that up? I saw your ( Alex's ) name under that. If yes,
>> > please let me know I'll start working on the same and if you permit me
>> > to, I'll start a wiki page for my proposal and timeline.
>> >
>> > Thanks
>> > ragv
>> >
>> >
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> --
> Christof Angermuellercangermueller@gmail.comhttp://cangermueller.com
>
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--
Anirudh Acharya
Graduate Student
Arizona State University
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