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authorXiangrui Meng <meng@databricks.com>2015-01-28 17:26:03 -0800
committerXiangrui Meng <meng@databricks.com>2015-01-28 17:26:03 -0800
commit4ee79c71afc5175ba42b5e3d4088fe23db3e45d1 (patch)
treeaf05f349a568617cbd75a5db34c4ae6fd90a00de /project
parente80dc1c5a80cddba8b367cf5cdf9f71df5d87250 (diff)
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[SPARK-5430] move treeReduce and treeAggregate from mllib to core
We have seen many use cases of `treeAggregate`/`treeReduce` outside the ML domain. Maybe it is time to move them to Core. pwendell Author: Xiangrui Meng <meng@databricks.com> Closes #4228 from mengxr/SPARK-5430 and squashes the following commits: 20ad40d [Xiangrui Meng] exclude tree* from mima e89a43e [Xiangrui Meng] fix compile and update java doc 3ae1a4b [Xiangrui Meng] add treeReduce/treeAggregate to Python 6f948c5 [Xiangrui Meng] add treeReduce/treeAggregate to JavaRDDLike d600b6c [Xiangrui Meng] move treeReduce and treeAggregate to core
Diffstat (limited to 'project')
-rw-r--r--project/MimaExcludes.scala6
1 files changed, 6 insertions, 0 deletions
diff --git a/project/MimaExcludes.scala b/project/MimaExcludes.scala
index e750fed744..14ba03ed46 100644
--- a/project/MimaExcludes.scala
+++ b/project/MimaExcludes.scala
@@ -114,6 +114,12 @@ object MimaExcludes {
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.api.java.JavaRDDLike.isEmpty")
) ++ Seq(
+ // SPARK-5430
+ ProblemFilters.exclude[MissingMethodProblem](
+ "org.apache.spark.api.java.JavaRDDLike.treeReduce"),
+ ProblemFilters.exclude[MissingMethodProblem](
+ "org.apache.spark.api.java.JavaRDDLike.treeAggregate")
+ ) ++ Seq(
// SPARK-5297 Java FileStream do not work with custom key/values
ProblemFilters.exclude[MissingMethodProblem](
"org.apache.spark.streaming.api.java.JavaStreamingContext.fileStream")