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) 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
------------------------------------------------------------------------------ Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/
_______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
