Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/18#discussion_r11468831
--- Diff: mllib/src/main/scala/org/apache/spark/mllib/util/MLUtils.scala ---
@@ -172,6 +178,22 @@ object MLUtils {
}
/**
+ * Return a k element array of pairs of RDDs with the first element of
each pair
+ * containing the validation data, a unique 1/Kth of the data and the
second
+ * element, the training data, contain the complement of that.
+ */
+ def kFold[T: ClassTag](rdd: RDD[T], numFolds: Int, seed: Int):
Array[(RDD[T], RDD[T])] = {
--- End diff --
It is natural to have `training` before `validation` in the return array
because you always need the `training` set first.
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