Hi Josh.
Can you do "import sklearn; print(sklearn.__path__)" in ipython?
That will tell you where your import comes from.
This is probably some problem in setting your path.
I'm not so experienced with virtualenv, sorry.
Cheers,
Andy
On 07/03/2013 12:42 AM, Josh Wasserstein wrote:
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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