Welldone everyone.. Thanks especially to Andy and managing the release so
well
regards
2013/1/22 Philipp Singer <kill...@gmail.com>
> Great work as always guys!
>
> Eager to try out the new features, especially the feature hashing.
>
> Am 22.01.2013 00:02, schrieb Andreas Mueller:
> > Hi all.
> > I am very happy to announce the release of scikit-learn 0.13.
> > New features in this release include feature hashing for text processing,
> > passive-agressive classifiers, faster random forests and many more.
> >
> > There have also been countless improvements in stability, consistency and
> > usability.
> >
> > Details can be found on the what's new
> > <http://scikit-learn.org/stable/whats_new.html>page.
> >
> > Sources and windows binaries are available on sourceforge,
> > through pypi (http://pypi.python.org/pypi/scikit-learn/0.13) or
> > can be installed directly using pip:
> >
> > pip install -U scikit-learn
> >
> > A big "thank you" to all the contributors who made this release possible!
> >
> > In parallel to the release, we started a small survey
> > <
> https://docs.google.com/spreadsheet/viewform?formkey=dFdyeGNhMzlCRWZUdldpMEZlZ1B1YkE6MQ#gid=0
> >
> > to get to know our user base a bit more.
> > If you are using scikit-learn, it would be great if you could give us
> > your input.
> >
> > Best,
> > Andy
> >
> >
> >
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> >
> >
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>
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