Congratulations to all involved :)
On 8 May 2012 09:08, Andreas Mueller <[email protected]> wrote:
> Dear all,
> I am happy to announce the 0.11 release of scikit-learn.
>
> This release includes some major new features such as
> randomized sparse models, gradient boosted regression
> trees, label propagation and many more.
> The release also has major improvements in the documentation
> and in stability.
>
> Details can be found on the what's new
> page<http://scikit-learn.org/stable/whats_new.html>
> .
>
> We also have a new page with video
> tutorials<http://scikit-learn.org/stable/presentations.html>on machine
> learning
> with scikit-learn and different aspects of the package.
>
> Sources and windows binaries are available on sourceforge,
> through pypi
> (http://pypi.python.org/pypi/scikit-learn/0.11)<http://pypi.python.org/pypi/scikit-learn/0.10>or
> can be installed directly using pip:
>
> pip install -U scikit-learn
>
>
> Thanks again to all the contributors who made this release possible.
>
> Cheers,
> Andy
>
>
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