Hi all,
I have finally cut a new beta release, namely: 0.15.0b2. The source
tarball and binary wheels for OSX and Win32 are available on PyPI:
https://pypi.python.org/pypi/scikit-learn/0.15.0b2
You can install / upgrade with:
pip install scikit-learn==0.15.0b2
As usual you need numpy and scipy.
If you further install nose, then run the tests:
python -c "import nose; nose.main()" -v sklearn
Note: using the "nosetests -v sklearn" command under Windows can cause
infinitely running tests with a growing number of Python processes.
As most of the changes that happened on master between 0.15.0b1 and
now are either bug fixes, maintenance fixes, optimizations and
documentation improvements I decided to re-branch 0.15.X off of todays
master and release 0.15.0b2 from there.
In particular this includes an upgrade to joblib 0.8.2 that fixes a
problem when using the new memory mapping feature of joblib.Parallel
under Windows. The problem was that the default copy on write mode
caused a saturation of the paging file under Windows. Switching to
read-only memmaping by default fixed the problem.
As usual, please report any regression or other bugs as github issue
after checking that they have not already been reported in existing
issues.
Regards,
--
Olivier
http://twitter.com/ogrisel - http://github.com/ogrisel
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