Great !
Maybe we can also cite all the stuff around algorithms : feature extraction
/ pipelines / cross-validation etc which add great value to the toolbox
from a practical standpoint.
Also maybe mention the feature hashing / out-of-core learning stuff we have
as it's trendy stuff nowadays I believe.
2013/8/29 Jacob Vanderplas <jake...@cs.washington.edu>
> 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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