2013/9/2 Andreas Mueller <[email protected]>
> On 09/02/2013 01:27 AM, Sergio Pascual wrote:
> > Although not all people use the package manager I expect that most of
> > the users of the package are going to use this method of installation,
> > just for simplicity. See, for reference, the results of this poll [1]
> > about usage of numpy and scipy: installation via MacPorts and Linux
> > package managers comprises 40% of users, the largest group.
> >
> Or you could say, less than half of the users!
> Which paints an entirely different picture.
>
Evidence seems to show that users tend to use the version of scientific
packages available in package managers. Install from package managers is
listed as the first method of instalation in sklearn documentation; quoting
from the docs "This is the quickest option for those who have operating
systems that distribute scikit-learn".
Linux package managers unbundle libs under sklearn.external, and as a
consequence, scikit-learn is going to be run with versions of the unbundled
packages (six 1.3 for example) no tested. To effectively support the
"package manager" installation method, these combinations should be
supported/tested.
>
> > People installing via pip or easy_install have to install numpy and
> > scipy previously anyway. These packages are far more difficult to
> > install than six and joblib.
> But they usually come another way, like EPD, package manager or "the
> admin did it". Many scientists don't have root rights, but these
> packages are often preinstalled
> on whatever setup they have.
>
>
In which case you can install to the user directory with --user with either
"pip install" or "python setup.py install"
>
>
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