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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