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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