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author | Xiangrui Meng <meng@databricks.com> | 2015-03-12 01:39:04 -0700 |
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committer | Xiangrui Meng <meng@databricks.com> | 2015-03-12 01:39:04 -0700 |
commit | 0cba802adf15f5ab8da24dd1e8a5e7214cc4e148 (patch) | |
tree | a5dc95dc4f0fbf156cacffc6af130666711b3f98 /project | |
parent | 712679a7b447346a365b38574d7a86d56a93f767 (diff) | |
download | spark-0cba802adf15f5ab8da24dd1e8a5e7214cc4e148.tar.gz spark-0cba802adf15f5ab8da24dd1e8a5e7214cc4e148.tar.bz2 spark-0cba802adf15f5ab8da24dd1e8a5e7214cc4e148.zip |
[SPARK-5814][MLLIB][GRAPHX] Remove JBLAS from runtime
The issue is discussed in https://issues.apache.org/jira/browse/SPARK-5669. Replacing all JBLAS usage by netlib-java gives us a simpler dependency tree and less license issues to worry about. I didn't touch the test scope in this PR. The user guide is not modified to avoid merge conflicts with branch-1.3. srowen ankurdave pwendell
Author: Xiangrui Meng <meng@databricks.com>
Closes #4699 from mengxr/SPARK-5814 and squashes the following commits:
48635c6 [Xiangrui Meng] move netlib-java version to parent pom
ca21c74 [Xiangrui Meng] remove jblas from ml-guide
5f7767a [Xiangrui Meng] Merge remote-tracking branch 'apache/master' into SPARK-5814
c5c4183 [Xiangrui Meng] merge master
0f20cad [Xiangrui Meng] add mima excludes
e53e9f4 [Xiangrui Meng] remove jblas from mllib runtime
ceaa14d [Xiangrui Meng] replace jblas by netlib-java in graphx
fa7c2ca [Xiangrui Meng] move jblas to test scope
Diffstat (limited to 'project')
-rw-r--r-- | project/MimaExcludes.scala | 28 |
1 files changed, 28 insertions, 0 deletions
diff --git a/project/MimaExcludes.scala b/project/MimaExcludes.scala index ee6229aa6b..627b2cea4d 100644 --- a/project/MimaExcludes.scala +++ b/project/MimaExcludes.scala @@ -149,6 +149,34 @@ object MimaExcludes { ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.mllib.linalg.VectorUDT.serialize"), ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.mllib.linalg.VectorUDT.sqlType") ) ++ Seq( + // SPARK-5814 + ProblemFilters.exclude[MissingMethodProblem]( + "org.apache.spark.mllib.recommendation.ALS.org$apache$spark$mllib$recommendation$ALS$$wrapDoubleArray"), + ProblemFilters.exclude[MissingMethodProblem]( + "org.apache.spark.mllib.recommendation.ALS.org$apache$spark$mllib$recommendation$ALS$$fillFullMatrix"), + ProblemFilters.exclude[MissingMethodProblem]( + "org.apache.spark.mllib.recommendation.ALS.org$apache$spark$mllib$recommendation$ALS$$iterations"), + ProblemFilters.exclude[MissingMethodProblem]( + "org.apache.spark.mllib.recommendation.ALS.org$apache$spark$mllib$recommendation$ALS$$makeOutLinkBlock"), + ProblemFilters.exclude[MissingMethodProblem]( + "org.apache.spark.mllib.recommendation.ALS.org$apache$spark$mllib$recommendation$ALS$$computeYtY"), + ProblemFilters.exclude[MissingMethodProblem]( + "org.apache.spark.mllib.recommendation.ALS.org$apache$spark$mllib$recommendation$ALS$$makeLinkRDDs"), + ProblemFilters.exclude[MissingMethodProblem]( + "org.apache.spark.mllib.recommendation.ALS.org$apache$spark$mllib$recommendation$ALS$$alpha"), + ProblemFilters.exclude[MissingMethodProblem]( + "org.apache.spark.mllib.recommendation.ALS.org$apache$spark$mllib$recommendation$ALS$$randomFactor"), + ProblemFilters.exclude[MissingMethodProblem]( + "org.apache.spark.mllib.recommendation.ALS.org$apache$spark$mllib$recommendation$ALS$$makeInLinkBlock"), + ProblemFilters.exclude[MissingMethodProblem]( + "org.apache.spark.mllib.recommendation.ALS.org$apache$spark$mllib$recommendation$ALS$$dspr"), + ProblemFilters.exclude[MissingMethodProblem]( + "org.apache.spark.mllib.recommendation.ALS.org$apache$spark$mllib$recommendation$ALS$$lambda"), + ProblemFilters.exclude[MissingMethodProblem]( + "org.apache.spark.mllib.recommendation.ALS.org$apache$spark$mllib$recommendation$ALS$$implicitPrefs"), + ProblemFilters.exclude[MissingMethodProblem]( + "org.apache.spark.mllib.recommendation.ALS.org$apache$spark$mllib$recommendation$ALS$$rank") + ) ++ Seq( // SPARK-4682 ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.RealClock"), ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.Clock"), |