Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/6737#discussion_r32895630
--- 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 --
I think we should:
* Not change the value of runs, but ignore it when initialModel is given
* Document this behavior in the Scala/Python docs for runs and initialModel
* Add a logWarning which prints a warning message when runs is being ignored
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