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Posted to commits@spark.apache.org by sr...@apache.org on 2018/09/09 14:49:16 UTC
spark git commit: [MINOR][ML] Remove
`BisectingKMeansModel.setDistanceMeasure` method
Repository: spark
Updated Branches:
refs/heads/master 0b9ccd55c -> 88a930dfa
[MINOR][ML] Remove `BisectingKMeansModel.setDistanceMeasure` method
## What changes were proposed in this pull request?
Remove `BisectingKMeansModel.setDistanceMeasure` method.
In `BisectingKMeansModel` set this param is meaningless.
## How was this patch tested?
N/A
Closes #22360 from WeichenXu123/bkmeans_update.
Authored-by: WeichenXu <we...@databricks.com>
Signed-off-by: Sean Owen <se...@databricks.com>
Project: http://git-wip-us.apache.org/repos/asf/spark/repo
Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/88a930df
Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/88a930df
Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/88a930df
Branch: refs/heads/master
Commit: 88a930dfab56c15df02c7bb944444745c2921fa5
Parents: 0b9ccd5
Author: WeichenXu <we...@databricks.com>
Authored: Sun Sep 9 09:49:13 2018 -0500
Committer: Sean Owen <se...@databricks.com>
Committed: Sun Sep 9 09:49:13 2018 -0500
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.../scala/org/apache/spark/ml/clustering/BisectingKMeans.scala | 4 ----
1 file changed, 4 deletions(-)
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http://git-wip-us.apache.org/repos/asf/spark/blob/88a930df/mllib/src/main/scala/org/apache/spark/ml/clustering/BisectingKMeans.scala
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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 8904193..5cb16cc 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
@@ -104,10 +104,6 @@ class BisectingKMeansModel private[ml] (
@Since("2.1.0")
def setPredictionCol(value: String): this.type = set(predictionCol, value)
- /** @group expertSetParam */
- @Since("2.4.0")
- def setDistanceMeasure(value: String): this.type = set(distanceMeasure, value)
-
@Since("2.0.0")
override def transform(dataset: Dataset[_]): DataFrame = {
transformSchema(dataset.schema, logging = true)
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