Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/3193#issuecomment-63104252
@davies I'm a little concerned about removing numpy.random in this PR: 1)
it is beyond the topic of this PR, 2) it brings performance regression. Since
we are comparing python random vs. numpy random, we can easily tell the
performance outside Spark. Numpy's random is about 2x faster than python's
random on my machine. Besides speed, another issue is the quality of RNG, on
which we need to spend more time on the specification.
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at [email protected] or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
