Github user sethah commented on a diff in the pull request:
    --- Diff: mllib/src/main/scala/org/apache/spark/ml/clustering/KMeans.scala 
    @@ -303,6 +312,20 @@ class KMeans @Since("1.5.0") (
       def setSeed(value: Long): this.type = set(seed, value)
    +  /** @group setParam */
    --- End diff --
    Yeah, so I think myself and Nick were under the impression that we would 
simply ignore any calls to `setK` if initialModel is set. So, 
      def setK(value: Int): this.type = {
        if (isSet(initialModel)) {
          logWarning("initialModel is set, so k will be ignored. Clear 
initialModel first.")
        } else {
          set(k, value)
    @MLnick @dbtsai does that seem correct?

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