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Merged to master.
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Thanks, @srowen and @dongjoon-hyun.
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Github user HyukjinKwon commented on the issue:
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To me, it sounds we made a fix because it was difficult to figure out
exactly what's going on internally. It's okay if it's difficult to reproduce
but it can be reproduce in production;
Github user HyukjinKwon commented on the issue:
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I understood the reproducer step in JIRA but how and why it matters? Did it
cause an actual problem in your production environment?
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Done, @dongjoon-hyun PTAL.
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Ur, it seems to due to 63ca4bbe792718029f6d6196e8a6bb11d1f20fca. I'll the
master branch.
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Hi, @tnachen . Could you review this PR, too?
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Github user zhengruifeng commented on the issue:
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Sounds good to design a universal prediction model as a super-class.
BTW, I think we can also create a new class `ProbabilisticPredictionModel`
(as a subclass of `PredictionModel`), so
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Sorry @HyukjinKwon It's difficult reproduce. I am not sure whether it is
caused by multithreading.
But you can verify it by:
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@@ -15,6 +15,8 @@ displayTitle: Spark SQL Upgrading Guide
- Since Spark 3.0, the
Github user xuanyuanking commented on the issue:
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Thanks for the reply, unnecessary end-to-end tests removed in
https://github.com/apache/spark/pull/22326/commits/2b6977de4a3b3489b9c2172a6a8a39831bf1d048,
others maybe should be kept? Cause
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good catch! do we need to fix the CSV side?
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PredictionModel as a super-class of unsupervised and supervised seems sane
to me. Returning a double to unify the signature also seems sane, although the
thought of casting it might irk
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@srowen @mgaido91 @erikerlandson I don't think it makes sense to use
PredictionModel as it is currently because it is for supervised learning and
contains label column specific params (eg
Github user imatiach-msft commented on the issue:
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@srowen would you be able to take another look at this PR? Also tagging
@WeichenXu123 . Thank you!
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Merge upstream
## What changes were proposed in this pull request?
(Please fill in changes proposed in this fix)
## How was this patch tested?
(Please explain how this
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retest this please.
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ping @wangyum, I'm going to revert this today if there's no response today.
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[SPARK-25956] Make Scala 2.12 as default Scala version in Spark 3.0
## What changes were proposed in this pull request?
This PR makes Spark's default Scala version as 2.12, and Scala 2.11
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retest this please
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Ok, I'm merging this to master since there doesn't seem do be any negative
feedback.
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