Github user dbtsai commented on a diff in the pull request:
https://github.com/apache/spark/pull/17117#discussion_r104803180
--- Diff: mllib/src/main/scala/org/apache/spark/ml/clustering/KMeans.scala
---
@@ -37,9 +37,9 @@ import org.apache.spark.storage.StorageLevel
import org.apache.spark.util.VersionUtils.majorVersion
/**
- * Common params for KMeans and KMeansModel
+ * Common params for KMeans and KMeansModel.
*/
-private[clustering] trait KMeansParams extends Params with HasMaxIter with
HasFeaturesCol
+private[clustering] trait KMeansModelParams extends Params with HasMaxIter
with HasFeaturesCol
with HasSeed with HasPredictionCol with HasTol {
--- End diff --
Now, `KMeansModel` mixes `KMeansModelParams`, does it mean in the model
level, we can not get the information of the `initiModel`? Also, in the model,
why do we need to mix the seed in?
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