Github user erikerlandson commented on a diff in the pull request:
https://github.com/apache/spark/pull/2455#discussion_r18790724
--- Diff:
core/src/main/scala/org/apache/spark/util/random/RandomSampler.scala ---
@@ -53,56 +89,238 @@ trait RandomSampler[T, U] extends Pseudorandom with
Cloneable with Serializable
* @tparam T item type
*/
@DeveloperApi
-class BernoulliSampler[T](lb: Double, ub: Double, complement: Boolean =
false)
+class BernoulliPartitionSampler[T](lb: Double, ub: Double, complement:
Boolean = false)
--- End diff --
I agree, "Partition" is overloaded in Spark, although it's equally correct
in both contexts. Maybe "Cell" is a decent alternative:
http://en.wikipedia.org/wiki/Partition_of_a_set
So it would be `BernoulliCellSampler`
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