I would tend to agree with this approach. We should audit all
@Experimenetal labels before the 1.6 release and clear them out when
appropriate.
- Patrick
On Wed, Oct 14, 2015 at 2:13 AM, Sean Owen wrote:
> Someone asked, is "ML pipelines" stable? I said, no, most of the key
Someone asked, is "ML pipelines" stable? I said, no, most of the key
classes are still marked @Experimental, which matches my expression that
things may still be subject to change.
But then, I see that MLlib classes, which are de facto not seeing much
further work and no API change, are also
Hi Jakob,
There is a temporary issue with the Scala 2.11 build in SBT. The problem is
this wasn't previously covered by our automated tests so it broke without
us knowing - this has been actively discussed on the dev list in the last
24 hours. I am trying to get it working in our test harness
Hi,
I have raised a JIRA ( https://issues.apache.org/jira/browse/SPARK-11045)
to track the discussion but also mailing dev group for your opinion. There
are some discussions already happened in Jira and love to hear what others
think. You can directly comment against the Jira if you wish.
This
Some old bits:
http://stackoverflow.com/questions/28162991/cant-run-spark-1-2-in-standalone-mode-on-mac
http://stackoverflow.com/questions/29412157/passing-hostname-to-netty
FYI
On Wed, Oct 14, 2015 at 7:10 PM, Nicholas Chammas <
nicholas.cham...@gmail.com> wrote:
> I’m setting the Spark