I decided to jump in and make a start on a one-page abstract:

https://github.com/jakevdp/NIPS2013_sklearn/blob/master/abstract.md


On Wed, Aug 28, 2013 at 4:57 AM, Nelle Varoquaux
<nelle.varoqu...@gmail.com>wrote:

>
>
>
> On 28 August 2013 13:54, Mathieu Blondel <math...@mblondel.org> wrote:
>
>> What purpose will the paper serve? We have already one paper presenting
>> the scikit and another one describing its API design in details. So I'm a
>> bit concerned that this paper wouldn't add much value and would confuse our
>> readers. Can't we submit just a presentation? This workshop will be a great
>> opportunity to present scikit-learn to those who don't already know it and
>> to receive feedback from others.
>>
>
> There's no proceedings for NIPS workshop, so it's only an abstract.
>
>
>>
>> Cheers,
>> Mathieu
>>
>> On Wed, Aug 28, 2013 at 8:35 PM, Nelle Varoquaux <
>> nelle.varoqu...@gmail.com> wrote:
>>
>>> Sorry about the late reply.
>>>
>>> Any news on this? What do you have in mind Nelle? Something like a
>>>> general presentation of the package or rather a focus on some
>>>> specifics of scikit-learn?
>>>>
>>>
>>> If I recall correctly, the last paper was focused on technical choices
>>> that helped making scikit-learn an efficient, yet easy to use package. In
>>> this one, maybe we can focus on what makes scikit-learn a good toolbox for
>>> scientist in terms of features. I think we have had some nice additions
>>> since the last paper: the killer features I think scikit-learn has compared
>>> to other packages is 1) online algorithms 2) support for sparse matrices
>>> (it seems to me that a lot of people don't even the existence of sparse
>>> arrays, at least amongst my colleagues) 3) multilabel and multiclass. Also,
>>> there has been some nice additions of specific algorithms (I'm personnally
>>> very excited about the biclustering, which I haven't had time to test yet),
>>> and major improvements of "old" algorithms (random forest).
>>>
>>> I expect python to be one of the most widely used language of this
>>> workshop. Fernando Perez is giving the keynote.
>>>
>>>
>>>> The format is quite short (1 page abstract) so this may be quite fast
>>>> to wrap up. In any case, this might be a nice opportunity for further
>>>> promotion of the project.
>>>>
>>>
>>> We can maybe set up a git repository to write the paper. I don't think
>>> it needs to be private.
>>>
>>> Also, I have no experience at all in submitting papers to NIPS or NIPS
>>> workshop, so I don't know how it is best to proceed.
>>>
>>> Cheers,
>>> N
>>>
>>>
>>>>
>>>> Gilles
>>>>
>>>> On 22 August 2013 16:26, Gilles Louppe <g.lou...@gmail.com> wrote:
>>>> > Hi,
>>>> >
>>>> > It is more than likely that I will be there this year - given the
>>>> > reviews of our paper, I would be surprised if it was rejected.
>>>> >
>>>> > What sort of talk would you have in mind Nelle?
>>>> >
>>>> > Gilles
>>>> >
>>>> > On 22 August 2013 16:13, Jacob Vanderplas <jake...@cs.washington.edu>
>>>> wrote:
>>>> >> Nelle,
>>>> >> That's a great idea!  I hadn't been planning on attending, but
>>>> because NIPS
>>>> >> is so close to me this year I think I may be able to make it if
>>>> there were a
>>>> >> compelling reason to be there.  Is anybody else from the core team
>>>> planning
>>>> >> to be there?  Any thoughts on what sort of talk/presentation to
>>>> submit
>>>> >> regarding sklearn?
>>>> >>    Jake
>>>> >>
>>>> >>
>>>> >> On Thu, Aug 22, 2013 at 12:40 AM, Gael Varoquaux
>>>> >> <gael.varoqu...@normalesup.org> wrote:
>>>> >>>
>>>> >>> On Thu, Aug 22, 2013 at 09:32:13AM +0200, Nelle Varoquaux wrote:
>>>> >>> >    workshop, but it is IMO a major machine learning toolkit, and
>>>> we
>>>> >>> > should
>>>> >>> >    not hesitate to resubmit something.
>>>> >>>
>>>> >>> One of the questions is: who will be there? I might, or might not be
>>>> >>> at NIPS this year (depending on whether our paper get through, and
>>>> on
>>>> >>> whether I find the time to fly there).
>>>> >>>
>>>> >>> G
>>>> >>>
>>>> >>>
>>>> >>>
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