Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/17117#discussion_r104084997
--- Diff: mllib/src/main/scala/org/apache/spark/ml/clustering/KMeans.scala
---
@@ -253,7 +255,18 @@ object KMeansModel extends MLReadable[KMeansModel] {
@Since("1.5.0")
class KMeans @Since("1.5.0") (
@Since("1.5.0") override val uid: String)
- extends Estimator[KMeansModel] with KMeansParams with
DefaultParamsWritable {
+ extends Estimator[KMeansModel]
+ with KMeansParams with HasInitialModel[KMeansModel] with MLWritable {
+
+ /**
+ * A KMeansModel to use for warm start.
+ * Note the cluster count of initial model must be equal with [[k]],
+ * otherwise, throws IllegalArgumentException.
+ * @group param
+ */
+ @Since("2.2.0")
+ final val initialModel: Param[KMeansModel] =
--- End diff --
I prefer doing this in the same way that ALS does it. By having separate
param traits `KMeansParams extends KMeansModelParams with HasInitialModel`.
It's more explicit since now our `KMeans` class would have extra params on top
of `KMeansParams`.
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