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authorZheng RuiFeng <ruifengz@foxmail.com>2016-10-25 03:19:50 -0700
committerYanbo Liang <ybliang8@gmail.com>2016-10-25 03:19:50 -0700
commit38cdd6ccdaba7f8da985c4f4efe5bd93a46a2b53 (patch)
tree76412ed76f0d786f6d8a424c5388a3395729e9e0 /mllib
parent6f31833dbe0b766dfe4540a240fe92ebb7e14737 (diff)
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[SPARK-14634][ML][FOLLOWUP] Delete superfluous line in BisectingKMeans
## What changes were proposed in this pull request? As commented by jkbradley in https://github.com/apache/spark/pull/12394, `model.setSummary(summary)` is superfluous ## How was this patch tested? existing tests Author: Zheng RuiFeng <ruifengz@foxmail.com> Closes #15619 from zhengruifeng/del_superfluous.
Diffstat (limited to 'mllib')
-rw-r--r--mllib/src/main/scala/org/apache/spark/ml/clustering/BisectingKMeans.scala5
-rw-r--r--mllib/src/main/scala/org/apache/spark/ml/clustering/KMeans.scala6
2 files changed, 5 insertions, 6 deletions
diff --git a/mllib/src/main/scala/org/apache/spark/ml/clustering/BisectingKMeans.scala b/mllib/src/main/scala/org/apache/spark/ml/clustering/BisectingKMeans.scala
index add8ee2a4f..ef2d918ea3 100644
--- a/mllib/src/main/scala/org/apache/spark/ml/clustering/BisectingKMeans.scala
+++ b/mllib/src/main/scala/org/apache/spark/ml/clustering/BisectingKMeans.scala
@@ -265,9 +265,8 @@ class BisectingKMeans @Since("2.0.0") (
val summary = new BisectingKMeansSummary(
model.transform(dataset), $(predictionCol), $(featuresCol), $(k))
model.setSummary(summary)
- val m = model.setSummary(summary)
- instr.logSuccess(m)
- m
+ instr.logSuccess(model)
+ model
}
@Since("2.0.0")
diff --git a/mllib/src/main/scala/org/apache/spark/ml/clustering/KMeans.scala b/mllib/src/main/scala/org/apache/spark/ml/clustering/KMeans.scala
index b04e82838e..0d2405b500 100644
--- a/mllib/src/main/scala/org/apache/spark/ml/clustering/KMeans.scala
+++ b/mllib/src/main/scala/org/apache/spark/ml/clustering/KMeans.scala
@@ -324,9 +324,9 @@ class KMeans @Since("1.5.0") (
val model = copyValues(new KMeansModel(uid, parentModel).setParent(this))
val summary = new KMeansSummary(
model.transform(dataset), $(predictionCol), $(featuresCol), $(k))
- val m = model.setSummary(summary)
- instr.logSuccess(m)
- m
+ model.setSummary(summary)
+ instr.logSuccess(model)
+ model
}
@Since("1.5.0")