Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/4951#discussion_r26173145
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/clustering/KMeansModel.scala ---
@@ -58,4 +66,59 @@ class KMeansModel (val clusterCenters: Array[Vector])
extends Serializable {
private def clusterCentersWithNorm: Iterable[VectorWithNorm] =
clusterCenters.map(new VectorWithNorm(_))
+
+ override def save(sc: SparkContext, path: String): Unit = {
+ KMeansModel.SaveLoadV1_0.save(sc, this, path)
+ }
+
+ override protected def formatVersion: String = "1.0"
+}
+
+object KMeansModel extends Loader[KMeansModel] {
+ override def load(sc: SparkContext, path: String): KMeansModel = {
+ KMeansModel.SaveLoadV1_0.load(sc, path)
+ }
+
+ case class IndexedPoint(id: Int, point: Vector)
--- End diff --
make this private. The class name could be changed to `case class
Cluster(id: Int, center: Vector)`. `IndexedPoint` is too general.
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