On Tue, 13 Jul 2021 11:46 +0100, Jack Mitchell wrote:
On 13/07/2021 11:20, Zoltan Boszormenyi via lists.openembedded.org wrote:
FYI, there's another layer
(https://github.com/tuxable-ltd/meta-scikit-learn that
I had to fork and make hardknott-compatible) that uses python3-scipy as
a build
and runtime dependency for python3-scikit-learn so import
sklearn.linear_model"
is possible. That layer also extends python3-scipy with a native build
variant
which doesn't exist in your layer AND patches lapack further to use
openblas.
Yes, that would be my layer. I had never intended to upstream the
scikit-learn portions as I don't believe it is maintainable in a generic
layer due to the niche use-cases and awkwardness of the build system
itself and it's dependencies, in addition to the very large build time
which would put strain on auto-builders.
What I had intended to do though, which I haven't got round to yet is
try to provide a virtual provider for blas/cblas in meta-oe which would
allow openblas to be properly upstreamed and then packageconfigs and
preferred versions used for selection as distro policy.
Thanks, I wasn't aware of this project. And it looks like you actually
sent a PR to my meta-scipy layer at one point, so thank you!
Jack, would you mind if I simply directed people from my meta-scipy
repository to your meta-scikit-learn layer? I am no longer using scipy
in OE so maintaining this layer (e.g. testing contributions and updating
for new versions) is falling behind.
If not then that is totally fine, I will just add a call for a new
maintainer.
Thanks,
Greg
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