[Numpy-discussion] [SciPy-Dev] Announce: scikit-learn v0.11
Gael Varoquaux
gael.varoquaux at normalesup.org
Mon May 7 19:13:17 EDT 2012
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
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