Hi everyone,
I'm glad I'm able to contribute back to this discussion thread. I wanted
to post a quick message to this group to make sure there is no
mis-information about XND which has finally reached the point where it can
be experimented with (http://xnd.io) and commented on.
XND came out of t
On Sat, Jun 16, 2018 at 8:56 PM Stephan Hoyer wrote:
> This is a little weird; "mtrand" is an implementation detail already.
>>> There's exactly 3 instances of that in scikit-learn, so replacing those
>>> with a sane name (with a long timeline, say 4 numpy versions at least plus
>>> a major versi
>
> This is a little weird; "mtrand" is an implementation detail already.
>> There's exactly 3 instances of that in scikit-learn, so replacing those
>> with a sane name (with a long timeline, say 4 numpy versions at least plus
>> a major version number bump) doesn't seem unreasonable.
>>
>
> Everyt
On Sat, Jun 16, 2018 at 11:02 AM Ralf Gommers
wrote:
>
>
> On Sat, Jun 16, 2018 at 12:38 AM, Robert Kern
> wrote:
>
>> I have incorporated the feedback from this thread, and have significantly
>> altered the proposal. I think this version will be more palatable to
>> everyone.
>>
>> https://gi
On Sat, Jun 16, 2018 at 12:38 AM, Robert Kern wrote:
> I have incorporated the feedback from this thread, and have significantly
> altered the proposal. I think this version will be more palatable to
> everyone.
>
> https://github.com/numpy/numpy/pull/11356
> https://github.com/rkern/numpy/bl
I have incorporated the feedback from this thread, and have significantly
altered the proposal. I think this version will be more palatable to
everyone.
https://github.com/numpy/numpy/pull/11356
https://github.com/rkern/numpy/blob/nep/rng-clarification/doc/neps/nep-0019-rng-policy.rst
I'm pret
