On 07/28/2016 03:16 PM, Matthew Brett wrote:
On Thu, Jul 28, 2016 at 8:10 PM, Andreas Mueller <t3k...@gmail.com> wrote:
On 07/28/2016 03:04 PM, Matthew Brett wrote:
On Thu, Jul 28, 2016 at 7:55 PM, Sebastian Raschka
<m...@sebastianraschka.com> wrote:
I think that should work fine for the `pip install scikit-learn`,
however, I think the problem was with upgrading, right?
E.g., if you run
pip install scikit-learn --upgrade
it would try to upgrade numpy and scipy as well, which may not be
desired. I think the only workaround would be to run
pip install scikit-learn --upgrade --no-deps
unless they changed the behavior recently. I mean, it’s not really a
problem, but many users may not know about the --no-deps flag.
Also - the install will work fine for platforms with wheels, but is
still bad for platforms without - like the Raspberry Pi.
Hm... so these would be ARM wheels? Or Raspberry Pi specific ones?
No, they'd have to be Raspberry Pi specific ones because no-one has
worked out a general ARM-wide specification, as we have for Intel
Linux = manylinux1.
Following up on this thread, I'm trying to write better installation
instructions.
https://github.com/scikit-learn/scikit-learn/pull/7313
What's the best-practice for cases when there are no wheels?
I imagine there's also no conda channel for Raspberry Pi.
So is it the package manager?
Andy
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