[CentOS] Semi-OT: install python package in userspace

Tue Apr 10 08:54:21 UTC 2018
Richard Grainger <grainger at gmail.com>

If you can use python3 rather than python2, it looks like the
dependencies in the standard repos are new enough.  Do you want me to
have a go at packaging scikit-learn for python3 and adding it to the

On Tue, Apr 10, 2018 at 9:51 AM, Richard Grainger <grainger at gmail.com> wrote:
> Just had a look at scikit-learn.  An issue you have with the current
> version of this package is that is depends on NumPy (>= 1.8.2).  The
> version of NumPy in CentOS 7 base is 1.7.1. You may need to look at
> building a Python virtual environment.  You can google that ;)
> On Tue, Apr 10, 2018 at 9:43 AM, Richard Grainger <grainger at gmail.com> wrote:
>> I created the epypel (Extra Extra Python Packages for Enterprise
>> Linux) yum repo for exactly this reason:
>> https://harbottle.gitlab.io/epypel/
>> There are a bunch of additional Python 2 and Python 3 packages there
>> and if you want any added, please put in a request here:
>> https://gitlab.com/harbottle/epypel/issues/new
>> The repo does not upgrade any packages in base or EPEL, so should be
>> safe to use on most CentOS 7 systems.
>> On Fri, Apr 6, 2018 at 5:25 PM,  <m.roth at 5-cent.us> wrote:
>>> CentOS 7 box. As there's no package in any of the repos, we're trying to
>>> install scikit-learn in the user's space. It refuses. My late try was,
>>> after d/l a .whl from last year, hoping that would work with the numpy
>>> package in the regular repos, I did a pip install --user scikit-learn...,
>>> and it still seems to want to write to system space: OSError: [Errno 13]
>>> Permission denied:
>>> '/usr/lib64/python2.7/site-packages/numpy-1.7.1.dist-info
>>> Anyone got any pointers?
>>>        mark
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