Github user mgaido91 commented on a diff in the pull request:
https://github.com/apache/spark/pull/20701#discussion_r173618874
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/clustering/KMeansModel.scala ---
@@ -46,6 +47,10 @@ class KMeansModel @Since("2.4.0") (@Since("1.0.0") val
clusterCenters: Array[Vec
private val clusterCentersWithNorm =
if (clusterCenters == null) null else clusterCenters.map(new
VectorWithNorm(_))
+ @Since("2.4.0")
+ def this(clusterCenters: Array[Vector], distanceMeasure: String) =
+ this(clusterCenters: Array[Vector], distanceMeasure, -1)
--- End diff --
yes, this can happen for instance when reloading a persisted model.
Moreover this is only for the mllib model, which as far as I know is suggested
not to be used anymore in favor of the new ml api. Any concern/suggestion about
this?
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