Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/4422#discussion_r24276821
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/recommendation/MatrixFactorizationModel.scala
---
@@ -136,3 +147,69 @@ class MatrixFactorizationModel(
scored.top(num)(Ordering.by(_._2))
}
}
+
+private object MatrixFactorizationModel extends
Loader[MatrixFactorizationModel] {
+
+ import org.apache.spark.mllib.util.Loader._
+
+ override def load(sc: SparkContext, path: String):
MatrixFactorizationModel = {
+ val (loadedClassName, formatVersion, metadata) = loadMetadata(sc, path)
+ val classNameV1_0 = SaveLoadV1_0.thisClassName
+ (loadedClassName, formatVersion) match {
+ case (className, "1.0") if className == classNameV1_0 =>
+ SaveLoadV1_0.load(sc, path)
+ case _ =>
+ throw new IOException("" +
--- End diff --
Yes, that's was from IDE.
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