Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/597#discussion_r12407659
--- Diff:
examples/src/main/scala/org/apache/spark/examples/mllib/MovieLensALS.scala ---
@@ -99,7 +123,18 @@ object MovieLensALS {
val splits = ratings.randomSplit(Array(0.8, 0.2))
val training = splits(0).cache()
- val test = splits(1).cache()
+ val test = if (params.implicitPrefs) {
+ /*
+ * 0 means "don't know" and positive values mean "confident that the
prediction should be 1".
+ * Negative values means "confident that the prediction should be 0".
+ * We have in this case used some kind of weighted RMSE. The weight
is the absolute value of
+ * the confidence. The error is the difference between prediction
and either 1 or 0,
+ * depending on whether r is positive or negative.
+ */
+ splits(1).map(x => Rating(x.user, x.product, if(x.rating > 0) 1.0
else 0.0))
--- End diff --
Add a space after `if`.
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