>hum it's seems surprising that a coordinate descent procedure blows up the
>memory but i'll have to read the paper. When I find the time …
>
>I had more in mind the glmnet approach for multinomial logistic regression
>which scales pretty well AFIAK
These remarks were quite useful to me, thanks. I
On Wed, Mar 21, 2012 at 06:42:36PM +0100, Alexandre Gramfort wrote:
> > In short, I think it could be interesting to implement the scout method too:
> > "We show that ridge regression, the lasso, and the elastic net are
> > special cases of covariance-regularized regression"
> > http://www-stat.sta
> Okay, that sounds reasonable to me too.
> It appears to me that it might be in everyone interest if I apply for
> a different project. I'm considering "Coordinated descent in linear
> models beyond squared loss (eg Logistic)"
> I'm currently working on a p>>N problem using the R scout package,
>
2012/3/21 Gael Varoquaux :
> On Wed, Mar 21, 2012 at 12:24:39PM +0900, Mathieu Blondel wrote:
>> If the online NMF and SGD-based matrix factorization proposals are
>> merged as I suggested before, I think it would make a decent GSOC
>> project. Besides, if two different students were to work on the
On Wed, Mar 21, 2012 at 12:24:39PM +0900, Mathieu Blondel wrote:
> If the online NMF and SGD-based matrix factorization proposals are
> merged as I suggested before, I think it would make a decent GSOC
> project. Besides, if two different students were to work on the two
> proposals in parallel, I
On Wed, Mar 21, 2012 at 5:23 AM, Gael Varoquaux
wrote:
> My gut feeling about your project is that it is an interesting proposal,
> but idealy a GSOC project should be more ambitious than a single
> algorithm. You could consider a full application problem that the
> algorithm is trying to solve a
Le 20 mars 2012 20:51, Immanuel a écrit :
> Hello all,
>
> I followed the mailing list and poked around in the source code for the
> last couple of week.
> Now, I'm absolutely sure that I would enjoy to work on scikit-learn as
> GSoC project.
>
> I especially like the proposed online NMF project,
Hi Immanuel,
My gut feeling about your project is that it is an interesting proposal,
but idealy a GSOC project should be more ambitious than a single
algorithm. You could consider a full application problem that the
algorithm is trying to solve and contribute a few different algorithms.
This is w
Hello all,
I followed the mailing list and poked around in the source code for the
last couple of week.
Now, I'm absolutely sure that I would enjoy to work on scikit-learn as
GSoC project.
I especially like the proposed online NMF project, could you enlighten
me on the following points?
There wa
