CentOS - Apr 2018 - Semi-OT: install python package in userspace

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
>>
>> _______________________________________________
>> CentOS mailing list
>> CentOS at centos.org
>> https://lists.centos.org/mailman/listinfo/centos

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
repo?

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
>>>
>>> _______________________________________________
>>> CentOS mailing list
>>> CentOS at centos.org
>>> https://lists.centos.org/mailman/listinfo/centos

On 2018-04-10, Richard Grainger <grainger at gmail.com>
wrote:
> If you can use python3 rather than python2, it looks like the
> dependencies in the standard repos are new enough.
SCL might be an option for providing a more recent python.  I'm not sure
if scikit is in SCL too, but I'm pretty sure numpy is, and scikit can be
installed into a smaller virtualenv.

--keith


-- 
kkeller at wombat.san-francisco.ca.us