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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