Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/493#discussion_r12196728
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/recommendation/ALS.scala ---
@@ -708,6 +709,113 @@ object ALS {
trainImplicit(ratings, rank, iterations, 0.01, -1, 1.0)
}
+ /**
+ * :: DeveloperApi ::
+ * Represents the cost attributable to a partition of a single ALS
iteration.
+ */
+ @DeveloperApi
+ case class IterationCost(inboundVectors: Double, outerProducts: Double,
choleskies: Double,
--- End diff --
What is `outerProducts`? Let's change the name `choleskies`. Few people
know Choleksy and we don't really use Cholesky factorization in NNLS. I don't
have a good recommendation. Basically, this is `numUsers` for a user block or
`numProducts` for a product block. Shall we simply call it `n`?
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