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authorDongjoon Hyun <dongjoon@apache.org>2016-03-14 12:46:53 -0700
committerXiangrui Meng <meng@databricks.com>2016-03-14 12:46:53 -0700
commita48296f4fe513b63041f1a26231cfe152b69657f (patch)
tree5a92d8270743f14b222b01b9e191f299b7d03e5e /project/MimaExcludes.scala
parent23385e853e7ca54332c6098cf83da7d0723546fe (diff)
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[SPARK-13686][MLLIB][STREAMING] Add a constructor parameter `reqParam` to (Streaming)LinearRegressionWithSGD
## What changes were proposed in this pull request? `LinearRegressionWithSGD` and `StreamingLinearRegressionWithSGD` does not have `regParam` as their constructor arguments. They just depends on GradientDescent's default reqParam values. To be consistent with other algorithms, we had better add them. The same default value is used. ## How was this patch tested? Pass the existing unit test. Author: Dongjoon Hyun <dongjoon@apache.org> Closes #11527 from dongjoon-hyun/SPARK-13686.
Diffstat (limited to 'project/MimaExcludes.scala')
-rw-r--r--project/MimaExcludes.scala3
1 files changed, 3 insertions, 0 deletions
diff --git a/project/MimaExcludes.scala b/project/MimaExcludes.scala
index faa52bf18c..a9973bc24c 100644
--- a/project/MimaExcludes.scala
+++ b/project/MimaExcludes.scala
@@ -318,6 +318,9 @@ object MimaExcludes {
ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.mllib.evaluation.MultilabelMetrics.this"),
ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.predictions"),
ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.predictions")
+ ) ++ Seq(
+ // [SPARK-13686][MLLIB][STREAMING] Add a constructor parameter `reqParam` to (Streaming)LinearRegressionWithSGD
+ ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.mllib.regression.LinearRegressionWithSGD.this")
)
case v if v.startsWith("1.6") =>
Seq(