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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