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
--
This SF email is sponsosred by:
Try Windows Azure free for 90 days Click Here
http://p.sf.
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
Hello everyone,
I have perused the past email archives for discussion on "partial_fit" and
the online-learning APIs. As per my understanding, having a "partial_fit"
kind of API essentially modifies a supervised learning classifier so that
it can accept a continuous stream of data.
In that case, m
Hi Andy,
An explanation of Gittin's index:
Imagine you are in a casino which has N slot machines. Each machine can be
played by inserting a 1-dollar coin in it and pulling a lever. Every time
you pull a lever, the machine might spit out some amount of money, governed
by an underlying (unknown) st
Hi Shankar.
Can you explain in how far these two ideas are related to online learning?
I am not familiar with Gittin's index but value iteration and policy
iteration
are dynamic programming algorithms that assume a model is given.
I would implement those by either giving the full transition mod
Hello everyone,
I am a prospective GSOC-2012 student. I have some project ideas that i
would like to bounce-off the community:
I would like add online-learning functionality. To do so, we can implement
some reinforcement-learning algorithms. The problem is described in terms
of an "agent" that ne
On 2012-03-07, at 8:45 AM, Olivier Grisel wrote:
> I think was DWF calls sparse coding is the LASSO implemented with
> coordinate descent (sparse coding with a fixed dictionary).
Indeed, the encoding step rather than the dictionary learning step. When
benchmarking unsupervised feature learning m
> We could indeed merge both proposals in a single GSoC proposal, but I
> would like to keep them as 2 separate steps with the two examples:
> group lens movie recommendation and out-of-core NMF for topic modeling
> on wikipedia text.
>
> We could also work on making the MiniBatchSparseDirectionary
2012/3/6 Mathieu Blondel :
> Even if they would be useful, I'd rather avoid projects like
> "maintenance" or "speed things up". I think projects with a
> well-identified goal are more likely to be accepted by the PSF.
>
> I like Olivier's proposals for SGD-based low-rank and non-negative
> matrix f
2012/3/6 Alexandre Gramfort :
>> a) sparse coding is about 2 orders of magnitude slower than competing
>> implementations right now, making it kind of useless except in toy
>> 1996-sized situations (I'm supposed to find a way to benchmark
>> this for Alex, but I can tell you that the situatio
> a) sparse coding is about 2 orders of magnitude slower than competing
> implementations right now, making it kind of useless except in toy
> 1996-sized situations (I'm supposed to find a way to benchmark
> this for Alex, but I can tell you that the situation is fairly bad
> currently, com
Even if they would be useful, I'd rather avoid projects like
"maintenance" or "speed things up". I think projects with a
well-identified goal are more likely to be accepted by the PSF.
I like Olivier's proposals for SGD-based low-rank and non-negative
matrix factorization but I'd rather merge them
On Tue, Mar 06, 2012 at 10:05:19PM +0100, Gael Varoquaux wrote:
> Hi Vlad and Andy,
>
> First of all, Vlad, thanks for offering to take up the less sexy work. I
> don't think that maintenance can qualify as a GSOC project. A big
> refactor could, but I don't think that we need one right now.
What
Hi Vlad and Andy,
First of all, Vlad, thanks for offering to take up the less sexy work. I
don't think that maintenance can qualify as a GSOC project. A big
refactor could, but I don't think that we need one right now.
With regards to reaching 1.0 release, one thing that I would really like
to ac
Hi Vlad.
I would gladly mentor a maintenance-oriented project.
I feel Gael could probably do this better, as he has more
experience, but I guess he doesn't have to much time
on his hands.
There is still a lot to do and we should come up with a
list of issues to address, preferably by consensus ;)
Hello everybody,
The two project ideas with Olivier's name are very interesting to me. Notably
the NMF project could also include a rehaul of the current implementation, a
cython non-negative least squares solver, addition of KL divergence loss, and
as much love as possible for sparse matrices.
Hi team,
First of all, I need to apologize for not having been responsive in the
discussions concerning the 2012 edition of the GSOC. I am a bit
overcomitted, and the discussions were going well, so I didn't feel that
I could add something terribly useful to them.
The ground-to-earth organization
Hi list,
I'm more than +1 for online learning, it could be a killing feature of the
scikit !
I also like the first suggestion of Andreas, about Multinomial Logistic
regression. I think there is interesting work to do in the junction with
Bayesian statistics and priors.
Vincent
2012/1/19 Alex
i've created the wiki page to organize what was suggested and so
people can volunteer for mentoring.
https://github.com/scikit-learn/scikit-learn/wiki/A-list-of-topics-for-a-google-summer-of-code-%28gsoc%29-2012
Alex
On Thu, Jan 19, 2012 at 8:38 AM, Peter Prettenhofer
wrote:
[..]
> - S
>>> [..]
- Structured SVM / CRF learning
This is a big one. Not sure what other people think of it.
I think having a structured SVM would be great.
>>
>>> +100 on this one...
>>>
>> For this, do we need to have our own SVM solver? This is a naive
>> question, I have ne
On Thu, Jan 19, 2012 at 12:08:41AM +0100, Andreas wrote:
> I have no experience with GSoC and I will totally bow
> to you wisdom there. My thinking was that single
> algorithms are more "project-like" than doing polishing here and
> there.
Yes. My point was that I'd like to see project that help u
On Thu, Jan 19, 2012 at 7:44 AM, Gael Varoquaux
wrote:
> On Wed, Jan 18, 2012 at 11:37:15PM +0100, Andreas wrote:
>> Having this feature might get us a LOT of attention.
>> But this is really not a simple project.
>
> Before trying to jump to the super fancy features, I'd rather have a
> polished
On 01/18/2012 11:44 PM, Gael Varoquaux wrote:
> On Wed, Jan 18, 2012 at 11:37:15PM +0100, Andreas wrote:
>
>> Having this feature might get us a LOT of attention.
>> But this is really not a simple project.
>>
> Before trying to jump to the super fancy features, I'd rather have a
> polish
On Jan 19, 2012, at 00:23 , Gael Varoquaux wrote:
> On Wed, Jan 18, 2012 at 07:37:12PM +0900, Mathieu Blondel wrote:
>> It would be nice if you could make a few contributions to scikit-learn
>> before the application process starts. This will allow you to
>> familiarize with the code base, us to
On Wed, Jan 18, 2012 at 11:37:15PM +0100, Andreas wrote:
> Having this feature might get us a LOT of attention.
> But this is really not a simple project.
Before trying to jump to the super fancy features, I'd rather have a
polished and versatile version of the scikit. They are many things that I
On 01/18/2012 11:26 PM, Gael Varoquaux wrote:
> On Wed, Jan 18, 2012 at 11:28:52AM +0100, Lars Buitinck wrote:
>
>> 2012/1/18 Andreas:
>>
>>> - Structured SVM / CRF learning
>>> This is a big one. Not sure what other people think of it.
>>> I think having a structured SVM would
On Wed, Jan 18, 2012 at 11:28:52AM +0100, Lars Buitinck wrote:
> 2012/1/18 Andreas :
> > - Structured SVM / CRF learning
> > This is a big one. Not sure what other people think of it.
> > I think having a structured SVM would be great.
> +100 on this one...
For this, do we need to have ou
On Wed, Jan 18, 2012 at 07:37:12PM +0900, Mathieu Blondel wrote:
> It would be nice if you could make a few contributions to scikit-learn
> before the application process starts. This will allow you to
> familiarize with the code base, us to evaluate your potential and, if
> I remember correctly, t
Hi Jaidev,
Well, the two of us do have a busy summer coming up, but a word of
> caution - Google hasn't decided yet whether they will hold GSoC this
> year. Please join the GSoC mailing list too.
>
Hm... Let us hope for the best.
>
> We'll talk more tonight if you are free...
>
Sure.
See you
Hi Bala,
Well, the two of us do have a busy summer coming up, but a word of
caution - Google hasn't decided yet whether they will hold GSoC this
year. Please join the GSoC mailing list too.
We'll talk more tonight if you are free...
Cheers
---
Hi :)
You might start on this one:
> https://github.com/scikit-learn/scikit-learn/issues/559
> It should be fairly easy to do.
>
Okay... Sure ! I'll try to do this.
>
>
> --
> Keep Your Developer Skills Current with Lea
You might start on this one:
https://github.com/scikit-learn/scikit-learn/issues/559
It should be fairly easy to do.
--
Keep Your Developer Skills Current with LearnDevNow!
The most comprehensive online learning library f
On Wed, Jan 18, 2012 at 7:47 PM, Bala Subrahmanyam Varanasi
wrote:
> Upto now, I pulled two commits regarding the documentation. I hope I could
> do more in the coming days. Here are my commits.
>
> https://github.com/Balu-Varanasi/scikit-learn/commit/36d0adb8c14b8105b9ba690073d0501955bce328
>
>
Dear Mathieu,
It would be nice if you could make a few contributions to scikit-learn
> before the application process starts. This will allow you to
> familiarize with the code base, us to evaluate your potential and, if
> I remember correctly, this is actually a requirement from the PSF.
>
I wou
On Wed, Jan 18, 2012 at 3:12 PM, Bala Subrahmanyam Varanasi
wrote:
> Also... I'm attending to Stanford's Online courses - ML class and NLP class.
> I believe this is the right time to discuss. Because, I can learn new things
> before the start of GSoC and can work on challenging implementations i
2012/1/18 Andreas :
> - Structured SVM / CRF learning
> This is a big one. Not sure what other people think of it.
> I think having a structured SVM would be great.
+100 on this one...
> Designing the interface is also non-trivial.
Indeed. I suspect different APIs would be needed for
Hi Bela.
I'm not sure how this usually goes but here is my current wish list.
We'd have to discuss whether any of that actually fits into the scikits,
thou ;)
- Multilayer Perceptron and Multinomial Logistic regression
I have been working on that so maybe there is not enough
left to do
Dear all,
I would like to participate in Google Summer of Code this year. Please let
me know the ideas which you would like to implement in scikit-learn in GSoC
- 2012.
Also... I'm attending to Stanford's Online courses - ML class and NLP
class. I believe this is the right time to discuss. Becaus
58 matches
Mail list logo
