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
unable_to_upgrade_to_v0.13.1_log.txt.bz2
Description: BZip2 compressed data
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