Perhaps a stupid suggestion, but did you use "the" pip that belongs to your
virtualenv ?
Usually I activate my virtualenv (sthg like /path/to/venv/bin/activate),
then I type "sudo `which pip` upgrade scikit-learn". Mind the backtips
around "wich pip" who enforce the fact that it is "the pip" that belongs to
the virtualenv that is used by the priviledged user to do the upgrade.
If this doesn't work, maybe try to sudo `which pip` uninstall scikit-learn
first...
E/
2013/7/3 Josh Wasserstein <[email protected]>
> Hi,
>
> I am having problems upgrading to 0.13.1 from 0.13. I have a local
> (rootless) installation of Python, and have installed most of my packages
> on a virtualenv with pip.
>
> Attached is the log of the upgrading process with:
>
> > pip install scikit-learn upgrade
>
> (the log was 60K and the mailing list limit is 40K so I had to compress
> it).
>
> I then checked which version I have, and pip reports that I still have
> 0.13.
>
> $ pip freeze
> Cython==0.19.1
> PIL==1.1.7
> PyXB==1.2.2
> PyYAML==3.10
> argparse==1.2.1
> distribute==0.6.34
> epc==0.0.3
> ipython==0.13.2
> jedi==0.5b5
> matplotlib==1.3.x
> nltk==2.0.4
> nose==1.3.0
> numexpr==2.1
> numpy==1.7.1
> pandas==0.11.0
> pyparsing==1.5.7
> python-dateutil==2.1
> pytz==2013b
> rpy2==2.3.1
> scikit-learn==0.13
> scipy==0.12.0
> sexpdata==0.0.2
> six==1.3.0
> stemming==1.0.1
> -e git+
> https://github.com/PyTables/PyTables.git@df7b20444b0737cf34686b5d88b4e674ec85575b#egg=tables-dev
> tornado==3.0.1
> wsgiref==0.1.2
>
> Any thoughts why? Note that this email follows up the effort to fixing the
> problems I reported in a previous email in
> this<http://stackoverflow.com/questions/17435772/tracing-errors-in-sklearn-tests>
> StackOverflow
> thread.
>
> Thank you,
>
> Jacob
>
>
>
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