Congratulations! Nice work!
On Jan 21, 2013, at 6:02 PM, Andreas Mueller <amuel...@ais.uni-bonn.de> wrote:
> 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 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 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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