Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/1393#discussion_r14926032
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/recommendation/MatrixFactorizationModel.scala
---
@@ -53,7 +53,7 @@ class MatrixFactorizationModel private[mllib] (
* @param usersProducts RDD of (user, product) pairs.
* @return RDD of Ratings.
*/
- def predict(usersProducts: RDD[(Int, Int)]): RDD[Rating] = {
+ def predict(usersProducts: RDD[(Long, Long)]): RDD[Rating] = {
--- End diff --
I had understood all of this to be an `@Experimental` API, though it is not
consistently marked. For example, `Rating` is experimental but its API is
actually bound to this API here.
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