This news did not arrive at [email protected] Is above list deprecated?
BTW thanks for supporting and working on this project ;) On Tue, May 8, 2012 at 1:13 AM, Gael Varoquaux <[email protected]> wrote: > On behalf of Andy Mueller, our release manager, 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 [1]what's new page. > > We also have a new page with [2]video tutorials 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) or > can be installed directly using pip: > > pip install -U scikit-learn > > Thanks again to all the contributors who made this release possible. > > Cheers, > > Gaël > > 1. http://scikit-learn.org/stable/whats_new.html > 2. http://scikit-learn.org/stable/presentations.html > > _______________________________________________ > NumPy-Discussion mailing list > [email protected] > http://mail.scipy.org/mailman/listinfo/numpy-discussion _______________________________________________ NumPy-Discussion mailing list [email protected] http://mail.scipy.org/mailman/listinfo/numpy-discussion
