Maybe someone could add a link on sklearn web site to those 2 machine
learning QA site? This will help spread there usage.

Fred

On Mon, Feb 13, 2012 at 9:41 PM, Martin Laprise <[email protected]> wrote:
> Thanks all for you constructive comments,
>
> I think your right. In fact, it was also my impression that a QA dedicated
> to sklearn is a little bit overkill, but I convinced myself that there is
> never to much communication channels. That said, I think your right, sklearn
> will have better visibility if you use the existing platform. So the
> experiment is over ! :-)
>
> Martin
>
>
> On Mon, Feb 13, 2012 at 6:58 PM, Olivier Grisel <[email protected]>
> wrote:
>>
>> 2012/2/14 Alexandre Passos <[email protected]>:
>> > On Mon, Feb 13, 2012 at 17:30, Gael Varoquaux
>> > <[email protected]> wrote:
>> >> Hi Martin,
>> >>
>> >> Thanks for you enthousiasm, and thanks for the Crowdbase instance. The
>> >> Q&A sites are definitively very useful. I am myself an occasional user
>> >> of
>> >> a few of them. Scikit-learn is actually very well represented on the
>> >> main
>> >> Q&A site for machine learn, http://metaoptimize.com/qa.
>> >>
>> >> With regards to the new sklearn.crowdbase.com, I am not completely sure
>> >> that we are better off starting a site rather than benefiting from the
>> >> existing ones such as metaoptimize. The main benefits of using an
>> >> existing one is that it helps grows the comunity by drawing new users
>> >> to
>> >> the scikit, and having people who don't use the scikit answer general
>> >> questions.
>> >>
>> >> Also, in the long run, I'd really like to see an ecosystem of Python
>> >> scikit-learn like package for machine learning. Indeed, the
>> >> scikit-learn
>> >> cannot answer all usecases, and it is healthy to see packaging growing
>> >> to
>> >> complement it, or as incubators of new ideas. Having a Q&A website
>> >> completely dedicated to scikit-learn might not help convey the message
>> >> that the cake is big enough to be shared.
>> >>
>> >
>> > +1
>> >
>> > There are also a couple of other reasons. First, pointing the sklearn
>> > Q&A to a new site will fail to reuse the google juice already obtained
>> > by the existing sites (stats.stackexchange, metaoptimize, the future
>> > machinelearning.stackexchange, etc). Second, all the existing website
>> > already have pretty decent tagging mechanisms. It's easy, for example,
>> > to have a bot scan the rss feed for a scikit-learn tag on those
>> > websites and periodically email the list with a digest of questions,
>> > allowing everyone to keep track of everything. Finally, there's the
>> > issue of eyeballs, in that the existing site's visitors, by seeing
>> > sklearn-related questions and answers, might feel impressed and more
>> > inclined to contribute.
>>
>> I agree, and for purely programming questions there is also stackoverflow:
>>
>>  http://stackoverflow.com/search?q=scikits
>>
>> The crowdbase UI is nice though.
>>
>> --
>> Olivier
>> http://twitter.com/ogrisel - http://github.com/ogrisel
>>
>>
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