On 07/28/2016 03:16 PM, Matthew Brett wrote:
On Thu, Jul 28, 2016 at 8:10 PM, Andreas Mueller <t3kcit@gmail.com> wrote:
On 07/28/2016 03:04 PM, Matthew Brett wrote:
On Thu, Jul 28, 2016 at 7:55 PM, Sebastian Raschka <mail@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