Github user mateiz commented on a diff in the pull request:
https://github.com/apache/spark/pull/1393#discussion_r14916135
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/recommendation/MatrixFactorizationModel.scala
---
@@ -36,10 +36,10 @@ import org.apache.spark.mllib.api.python.PythonMLLibAPI
*/
class MatrixFactorizationModel private[mllib] (
val rank: Int,
- val userFeatures: RDD[(Int, Array[Double])],
- val productFeatures: RDD[(Int, Array[Double])]) extends Serializable {
+ val userFeatures: RDD[(Long, Array[Double])],
+ val productFeatures: RDD[(Long, Array[Double])]) extends Serializable {
/** Predict the rating of one user for one product. */
- def predict(user: Int, product: Int): Double = {
+ def predict(user: Long, product: Long): Double = {
--- End diff --
This is also a breaking API change, weird that Jenkins didn't catch it.
@scrapcodes and @pwendell is this something we're not checking for right now in
MIMA? Because this class is not experimental or anything.
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