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--- Diff: mllib/src/main/scala/org/apache/spark/mllib/util/MLUtils.scala ---
@@ -82,6 +82,17 @@ object MLUtils {
val value = indexAndValue(1).toD
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Github user andrewor14 commented on the pull request:
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retest this please
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Weird objenesis failures again. retest this please.
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Github user mengxr commented on the pull request:
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@jkbradley If we want to include it in 1.4.1, we can merge it into
branch-1.4 now and set the fix version to 1.4.1 and 1.5.0. If RC4 doesn't pass
the vote, @pwendell will
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Github user rxin commented on the pull request:
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It is ok. You can just use start itself, i.e. if there is only one
argument, then start means end.
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Github user mengxr commented on the pull request:
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LGTM. Merged into master and all branches since 1.0. Thanks!
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Github user animeshbaranawal commented on the pull request:
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@rxin
To include the range(end) functioning in python sql context, the only way I
could figure out is to re-order the function arguments in range which is n
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--- Diff: mllib/src/main/scala/org/apache/spark/mllib/util/MLUtils.scala ---
@@ -82,6 +82,17 @@ object MLUtils {
val value = indexAndValue(1).toD
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--- Diff: mllib/src/main/scala/org/apache/spark/mllib/util/MLUtils.scala ---
@@ -82,6 +82,17 @@ object MLUtils {
val value = indexAndValue(1).toD
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LGTM. Merged into master and branch-1.4. Thanks!
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--- Diff: docs/mllib-linear-methods.md ---
@@ -282,8 +277,8 @@ public class SVMClassifier {
System.out.println("Area under ROC = " + auROC);
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I checked the transformers we have. Perhaps this is the only one that would
operate on target labels, and it is blocking users from making predictions
without labels. So
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Github user jkbradley commented on the pull request:
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OK. It's odd to have a breaking change between 1.4.0 and 1.4.1 though...
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Github user nitin2goyal commented on the pull request:
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Yes, seems like it is being done in 1.4
https://github.com/apache/spark/blob/branch-1.4/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveContext.scala#L
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--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/codegen/GenerateProjection.scala
---
@@ -38,201 +42,191 @@ object GenerateProj
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Sure, sounds good.
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LGTM. I'm going to merge this into branch-1.4 as well. Because having param
variable name different from param.name would cause issues with Python.
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@cloud-fan do you mind reviewing this?
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Hmm, seems a bug in Spark 1.2, will cause some performance overhead
(creating the HiveConf object everytime), but, we should always initialize the
`SessionState`
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LGTM
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Github user shivaram commented on the pull request:
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hmm -- so just to confirm, does the `MASTER` env variable get read by
`spark-submit` automatically ?
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Jenkins, ok to test.
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Github user eggsby commented on the pull request:
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Looks like I blindly replaced some other package local references to
`parquet.ClassName` to `org.apache.parquet.ClassName` - this was really
confusing, but should be fixe
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--- Diff:
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@@ -443,9 +466,27 @@ private[spark] class ExecutorAllocationManager
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Github user nitin2goyal commented on the pull request:
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Yes, I am using HiveContext and calling hiveContext.sql, basically
following line gets executed :-
https://github.com/apache/spark/blob/branch-1.2/sql/hive/
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Thank you, @JoshRosen. I got it. There is no problem to rewrite in Python.
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Github user pwendell commented on the pull request:
https://github.com/apache/spark/pull/6328#issuecomment-108189943
Jenkins, retest this please.
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Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/6605#issuecomment-108189107
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Github user chenghao-intel commented on the pull request:
https://github.com/apache/spark/pull/5880#issuecomment-108189021
In Spark 1.2, the SessionState should be initialized in HiveContext (or
probably in SparkSQLCLIDriver if you are using the CLI). Can you describe how
to reproduce
Github user AmplabJenkins commented on the pull request:
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Github user AmplabJenkins commented on the pull request:
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GitHub user sun-rui opened a pull request:
https://github.com/apache/spark/pull/6605
[SPARK-8063][SPARKR] Spark master URL conflict between MASTER env variable
and --master command line option.
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Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/6587#issuecomment-108187510
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Github user SparkQA commented on the pull request:
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Github user SparkQA commented on the pull request:
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Github user AmplabJenkins commented on the pull request:
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