Hi everybody,
thanks a lot for your congratulations. It has been a tight race indeed
and I have to consider myself lucky that I ended up on the first place
- as Olivier already said score differences among the top teams are
really small.
Anyways, it's a great opportunity to "spread the word" - sk
Congrats!
I have participated as well and do not have the time to look into the
problem before it finishes. It is rather impressive as many regular winners
participating and Peter stands out.
Best,
LI, Wei
On Thu, Jul 5, 2012 at 1:24 PM, Gilles Louppe wrote:
> Congratulations Peter :-)
>
> On
Congratulations Peter :-)
On 5 July 2012 04:57, xinfan meng wrote:
> Congratulations to Perter. This is a great demonstration and advertisement
> for scikit-learn. I really want to know how Peter develop his wining
> strategy. Have he written something about this?
>
>
> On Thu, Jul 5, 2012 at 9
Congratulations to Perter. This is a great demonstration and advertisement
for scikit-learn. I really want to know how Peter develop his wining
strategy. Have he written something about this?
On Thu, Jul 5, 2012 at 9:21 AM, Gael Varoquaux <
[email protected]> wrote:
> On Wed, Jul 04
>
> As some of you may have already noticed, Peter (Prettenhofer) has
> just won a the "Online Product Sales" competition on kaggle.com
> beating 365 teams:
>
congratulations peter. this is wonderful news.
--
Live Security
On Wed, Jul 04, 2012 at 11:48:17PM +0100, Emanuele Olivetti wrote:
> As some of you may have already noticed, Peter (Prettenhofer) has
> just won a the "Online Product Sales" competition on kaggle.com
> beating 365 teams:
> http://www.kaggle.com/c/online-sales/leaderboard
This is indeed great. Cer
2012/7/5 Emanuele Olivetti :
> Dear All,
>
> As some of you may have already noticed, Peter (Prettenhofer) has
> just won a the "Online Product Sales" competition on kaggle.com
> beating 365 teams:
> http://www.kaggle.com/c/online-sales/leaderboard
> The competition was about predicting the monthly
On Tue, Jul 3, 2012 at 12:24 PM, Jake Vanderplas
wrote:
> 3) Currently the exercises follow the format that Olivier set up in his
> tutorials, with a "skeleton" and a "solution" for each example script.
> On Fernando's suggestion, I'd like to move to using ipython notebooks
> for these examples.
Dear All,
As some of you may have already noticed, Peter (Prettenhofer) has
just won a the "Online Product Sales" competition on kaggle.com
beating 365 teams:
http://www.kaggle.com/c/online-sales/leaderboard
The competition was about predicting the monthly online sales of
a product. In my opinion
2012/7/4 Buddy Rich
>
> Hi,
> I have a simple black image with three kinds of white objects in it (circle,
> vertical rectangle and horizontal rectangle).
>
> I learn a dictionary with k atoms, then I would like to recombine the
> "correct" atoms for rebuilding my three objects.
>
> Is there a m
On 4 July 2012 22:23, Buddy Rich wrote:
> Hi,
> I have a simple black image with three kinds of white objects in it
> (circle, vertical rectangle and horizontal rectangle).
>
> I learn a dictionary with k atoms, then I would like to recombine the
> "correct" atoms for rebuilding my three objects.
Hi,
I have a simple black image with three kinds of white objects in it (circle,
vertical rectangle and horizontal rectangle).
I learn a dictionary with k atoms, then I would like to recombine the "correct"
atoms for rebuilding my three objects.
Is there a method for this task?
Thank you in ad
I'll be there
J
2012/6/14 Nelle Varoquaux
> Hi everyone,
>
> PyconFR offers this year to host sprints during two days, at la villette
> in Paris, mid
> september. Considering there is a big french machine learning community, I
> think this would be a great opportunity for us to do a sprint !
>
2012/7/4 Yaroslav Halchenko :
>
> On Tue, 03 Jul 2012, Olivier Grisel wrote:
>
>> 2012/7/2 Yaroslav Halchenko :
>> > Just now spotted that sklearn hasn't migrated to wheezy yet because of
>
>> > Tail of log for scikit-learn on armel:
>
>> > Traceback (most recent call last):
>> > File "/usr/lib/p
2012/7/4 Frédérique Passot :
> Hi,
>
> I am trying to use TFIDF weighting to extract significant keywords from
> a corpus of texts (and later to compute cosine similarity between texts).
>
> For testing purposes, I am not doing any stopword filtering prior to
> vectorizing my data. I am consistentl
2012/7/3 Jake Vanderplas :
> Hi folks,
> I turned in the first draft of my PhD thesis yesterday,
Congrats :)
> 1) The tutorial examples make use of several astronomy-specific
> datasets. These primarily come from publicly available data at the
> Sloan Digital Sky Survey [2], but I've done some p
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