Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/18#discussion_r11457437
--- Diff: mllib/src/main/scala/org/apache/spark/mllib/util/MLUtils.scala ---
@@ -172,6 +182,20 @@ object MLUtils {
}
/**
+ * Return a k element list of pairs of RDDs with the first element of
each pair
+ * containing a unique 1/Kth of the data and the second element contain
the compliment of that.
+ */
+ def kFold[T : ClassTag](rdd: RDD[T], numFolds: Int, seed: Int):
List[Pair[RDD[T], RDD[T]]] = {
--- End diff --
About the return type, it is the same as `List[(RDD[T], RDD[T])]`. The
latter form is more common in Spark codebase. Also, can we change the return
type to `Array[(RDD[T], RDD[T])]`, which is Java-friendly and there is no
overhead because `numFolds` is small.
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