Le 6 avril 2012 04:31, Lee Zamparo a écrit :
> Hi folks,
>
> I haven't had time to work on and submit a patch to scikit-learn by
> this evening, as I'm facing down a conference deadline. Thanks to
> everyone who provided valuable feedback, and hopefully I'll be able to
> submit next year.
You ca
Hi Lee,
As you can see on http://wiki.python.org/moin/SummerOfCode/2012, you have
another 10 days to meet these expectations. That said, if you do not have
time to pursue the GSOC, you shouldn't apply. I stress that it is a full
time job.
Good luck with your deadline,
Gael
On Thu, Apr 05, 2012
Hi folks,
I haven't had time to work on and submit a patch to scikit-learn by
this evening, as I'm facing down a conference deadline. Thanks to
everyone who provided valuable feedback, and hopefully I'll be able to
submit next year.
Thanks,
Lee.
On Mon, Apr 2, 2012 at 12:14 PM, Olivier Grisel
Le 5 avril 2012 22:58, Vlad Niculae a écrit :
> Submitted:
> http://www.google-melange.com/gsoc/proposal/review/google/gsoc2012/vladn/15002#
>
> Just need to make some links blue, but the editor is tedious.
>
> I'm afraid I won't have the time to write up a proposal for the matrix
> completion p
Submitted:
http://www.google-melange.com/gsoc/proposal/review/google/gsoc2012/vladn/15002#
Just need to make some links blue, but the editor is tedious.
I'm afraid I won't have the time to write up a proposal for the matrix
completion project. I still remain highly interested in it.
Best,
Vlad
Le 5 avril 2012 14:25, Vlad Niculae a écrit :
> Hi everyone
>
> I have updated my proposal thanks to your excellent suggestions.
>
> I also pointed out the style of optimization that will be applied by linking
> to my blog post on optimizing orthogonal matching pursuit code. Unfortunately
> this
On Thu, Apr 05, 2012 at 03:25:59PM +0300, Vlad Niculae wrote:
> I plan to submit tonight.
Do: you should be able to edit till the deadline.
To all the students: I must apologize, Alex (Gramfort) and I have a
conference deadline tonight, and we must worry about our graduate
students that are submi
Hi everyone
I have updated my proposal thanks to your excellent suggestions.
I also pointed out the style of optimization that will be applied by linking to
my blog post on optimizing orthogonal matching pursuit code. Unfortunately this
will also flash the bug I introduced before everyone's eye
Le 4 avril 2012 20:19, Alexandre Gramfort
a écrit :
> hello vlad,
>
> hope you're doing better.
>
> My gut feeling reading the proposal is that you clearly know what you're
> talking
> about as you know well the code base but I think you should be more specific
> about where the low hanging fruit
hello vlad,
hope you're doing better.
My gut feeling reading the proposal is that you clearly know what you're talking
about as you know well the code base but I think you should be more specific
about where the low hanging fruits are and which modules deserve some love
in terms of speed.
Alex
Hello guys,
Unfortunately I have come down with the flu, and therefore missed a good amount
of time to work on gsoc 2012 proposals. I know that there's not much time left
for review, but here is my pre-proposal for a overall speedup and benchmarking
project.
https://docs.google.com/document/d/
Le 2 avril 2012 18:06, Lee Zamparo a écrit :
>
> Regarding the suggested additions, I'm interested in Olivier's
> suggestion of Power Iteration Clustering, and seeing how it fares
> against kernel K-means as well as the convex exemplar based clustering
> paper suggested by Bertrand. I'll revise m
ist in digest mode.
Lee.
>
> Message: 8
> Date: Mon, 2 Apr 2012 16:51:56 +0200
> From: Olivier Grisel
> Subject: Re: [Scikit-learn-general] GSoC 2012 pre-application
> To: scikit-learn-general@lists.sourceforge.net
> Message-ID:
>
> Content-Type: text/plain; chars
Le 30 mars 2012 15:21, Olivier Grisel a écrit :
>
> Lee, what is your github account? Do you have prior experience with
> Numpy / Scipy / Cython development?
>
> Also about kernel k-means: I don't know this algorithm myself. Do you
> have practical evidence that this approach is really working a
>
Le 30 mars 2012 07:19, Gael Varoquaux a écrit :
> Hi Lee,
>
> Welcome! Thanks for preparing a proposal. My impression looking at it, is
> that it seems a bit light for 2.5 months of work. It is pretty much
> centered around implementing one algorithm, weighted k-means.
One way to complement this
Our affinity propagation really doesn't scale. I quickly tried to make it work
on sparse matrices, but it turned out to be some work. That said, it's a crappy
algorithm :$.
Gael
- Original message -
> Hi Lee.
> I'd have to have a look that the papers again to judge this better.
> Maybe
Hi Lee.
I'd have to have a look that the papers again to judge this better.
Maybe I'll have time on the weekend.
What I would also like to see in the clustering module would be a
more scalable mean shift and maybe also quickshift.
Cheers,
Andy
On 03/30/2012 06:30 AM, Lee Zamparo wrote:
> Hello
-
> De: "Robert Layton"
> À: scikit-learn-general@lists.sourceforge.net
> Envoyé: Vendredi 30 Mars 2012 07:24:25
> Objet: Re: [Scikit-learn-general] GSoC 2012 pre-application
> On 30 March 2012 16:19, Gael Varoquaux < gael.varoqu...@normalesup.org
> > wrote:
> >
Could you elaborate your strategies for speeding up kernel k-means? As far
as I know, kernel k-means is very expensive.
Mathieu
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On 30 March 2012 16:19, Gael Varoquaux wrote:
> Hi Lee,
>
> Welcome! Thanks for preparing a proposal. My impression looking at it, is
> that it seems a bit light for 2.5 months of work. It is pretty much
> centered around implementing one algorithm, weighted k-means.
>
> Cheers,
>
> Gael
>
>
> On
Hi Lee,
Welcome! Thanks for preparing a proposal. My impression looking at it, is
that it seems a bit light for 2.5 months of work. It is pretty much
centered around implementing one algorithm, weighted k-means.
Cheers,
Gael
On Fri, Mar 30, 2012 at 12:30:46AM -0400, Lee Zamparo wrote:
> Hello
Hello everyone,
I'm a prospective applicant to GSoC 2012, and am drafting a proposal.
I would really appreciate if you could spare some time to give me
feedback. My proposal is centred around sklearn.cluster, so I would
like to ask Andreas Muller, Olivier Grisel or Lars Buitinck if they
would con
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