Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/4950#discussion_r26078534
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/recommendation/MatrixFactorizationModel.scala
---
@@ -199,12 +199,12 @@ object MatrixFactorizationModel extends
Loader[MatrixFactorizationModel] {
assert(formatVersion == thisFormatVersion)
val rank = (metadata \ "rank").extract[Int]
val userFeatures = sqlContext.parquetFile(userPath(path))
- .map { case Row(id: Int, features: Seq[Double]) =>
- (id, features.toArray)
+ .map { case Row(id: Int, features: Seq[_]) =>
+ (id, features.asInstanceOf[Seq[Double]].toArray)
--- End diff --
Yeah, I think the only way to check the type is to check the schema or to
do an inner match-case for the Seq.
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