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From srowen <>
Subject [GitHub] spark pull request: SPARK-2465. Use long as user / item ID for ALS
Date Tue, 15 Jul 2014 10:08:02 GMT
Github user srowen commented on a diff in the pull request:
    --- 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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