Github user FlytxtRnD commented on a diff in the pull request:
https://github.com/apache/spark/pull/6737#discussion_r32801495
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/clustering/KMeans.scala ---
@@ -193,12 +207,19 @@ class KMeans private (
val initStartTime = System.nanoTime()
- val centers = if (initializationMode == KMeans.RANDOM) {
- initRandom(data)
- } else {
- initKMeansParallel(data)
+ val centers = initialModel match {
+ case Some(kMeansCenters) => {
+ Array.tabulate(runs)(r => kMeansCenters.clusterCenters
--- End diff --
@jkbradley Is it ok to explicitly set the value 1 in the place of `runs`
here or should we add a `require(runs==1, "can only run once")` in
setInitialModel() ?
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