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Github user rotationsymmetry commented on the pull request:
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@yanboliang Thanks for the PR. I have done one pass. Please see my line
comments. On top of that, shall we consider the following:
* Parameterization
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Github user dragos commented on the pull request:
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Hm, I definitely don't see Mesos in
http://spark.apache.org/docs/latest/configuration.html (only Yarn). That's what
I meant. Where is the screenshot from?
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[SPARK-10281][ML][PySpark][Docs] Add @since annotation to
pyspark.ml.clustering
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[SPARK-10284][ML][PySpark][Docs] Add @since annotation to pyspark.ml.tuning
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[SPARK-10278][MLlib][PySpark] Add @since annotation to pyspark.mllib.tree
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--- Diff:
mllib/src/main/scala/org/apache/spark/ml/regression/AFTRegression.scala ---
@@ -0,0 +1,308 @@
+/*
+ * Licensed to the Apache
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added test cases
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Github user dragos commented on the pull request:
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You need to update documentation as well. It's not clear to me how you
determine the total number of expected resources. Is that `spark.cores.max` (in
Mesos mode)?
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[SPARK-10279][MLlib][PySpark][Docs] Add @since annotation to
pyspark.mllib.util
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@dragos This change is for Coarse grained mode hence "spark.cores.max" is
used to determine total no of resource. The documentation is already in place.
You can
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Github user FlytxtRnD commented on the pull request:
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@mengxr Thank you for all the suggestions. Will update soon
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--- Diff:
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@@ -0,0 +1,279 @@
+/*
+ * Licensed to the Apache
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[SPARK-9899][SQL][WIP] Disables customized output committer when
speculation is enabled
This is a follow-up of https://github.com/apache/spark/pull/8317.
When speculation is enabled,
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Github user jerryshao commented on the pull request:
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What I concerned about is that this patch changes a lot to get core /
memory information, whereas this information can be gotten from many other
ways, like standalone
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[SPARK-10282][ML][PySpark][Docs] Add @since annotation to
pyspark.ml.recommendation
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Can one of the admins verify this patch?
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Can one of the admins verify this patch?
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Github user baishuo commented on the pull request:
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hi @srowen @andrewor14 after debug, I found before we call
UTF8String.fromBytes(output.toByteArray) , we must call generator.close(),
otherwise UTF8String.fromBytes
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--- Diff: python/pyspark/ml/classification.py ---
@@ -808,6 +809,118 @@ def theta(self):
return self._call_java("theta")
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GitHub user teramonagi opened a pull request:
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[SPARK-10532][EC2]Added --profile option to specify names profiles
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I'm sorry for taking your time.
I modified the code that was pointed out.
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Hi @patrungel , I've also fixed this issue for sbin executables, mind
taking a look at it?
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Github user evacchi commented on the pull request:
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Hope this still merges cleanly, I'm writing this from my phone. Otherwise
it'll have to wait till I'm back from holidays
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GitHub user yu-iskw reopened a pull request:
https://github.com/apache/spark/pull/8685
[SPARK-10278][MLlib][PySpark] Add @since annotation to pyspark.mllib.tree
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GitHub user zjffdu opened a pull request:
https://github.com/apache/spark/pull/8688
[SPARK-10531] [CORE] AppId is set as AppName in status rest api
Verify it manually.
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Jenkins, retest this please.
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Thanks for the tips @dragos
Push another commit with the changes
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Github user sun-rui commented on a diff in the pull request:
https://github.com/apache/spark/pull/8458#discussion_r39133491
--- Diff: core/src/main/scala/org/apache/spark/api/r/RBackendHandler.scala
---
@@ -166,40 +178,75 @@ private[r] class RBackendHandler(server: RBackend)
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