On Fri, Sep 23, 2011 at 2:56 PM, Mathieu Blondel <[email protected]>wrote:
> On Sat, Sep 24, 2011 at 3:17 AM, Skipper Seabold <[email protected]>
> wrote:
>
> > I thought the main goal when we started talking about dropping scikits
> > was simply to avoid having namespace packages. It sounds like this is
> > no longer the focus?
>
> We asked on the ML what import name people liked best, and there was a
> large consensus for "sklearn" over "learn". The main problem of
> "learn" was that it is too generic. This probably holds for "image"
> and "data" too. Also several people agreed that we should keep
> promoting the scikit branding, hence the "scikit-" prefix in the
> project name.
>
> Ideally we would have:
> - scikit-learn (import sklearn)
> - scikit-image (import skimage)
> - scikit-data (import skdata)
> - scikit-statsmodel (import skstatsmodel)
> etc...
>
I don't think I will be in favor of skstatsmodels, the search term is
scikits.statsmodels or statsmodels. (each word starts and ends with "s")
(the first page of google search for "statsmodels" only shows us, - when I'm
looged in)
Skipper and I spent some time coming up with a non-generic, "googlable"
name.
Disclaimer: I have been paying the parking fees of statsmodels.org and
statsmodels.com since the first release.
Josef
>
> Mathieu
>
>
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All of the data generated in your IT infrastructure is seriously valuable.
Why? It contains a definitive record of application performance, security
threats, fraudulent activity, and more. Splunk takes this data and makes
sense of it. IT sense. And common sense.
http://p.sf.net/sfu/splunk-d2dcopy2
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