Github user techaddict commented on a diff in the pull request:
https://github.com/apache/spark/pull/597#discussion_r12363364
--- Diff:
examples/src/main/scala/org/apache/spark/examples/mllib/MovieLensALS.scala ---
@@ -99,7 +107,12 @@ 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) {
+ splits(1)
--- End diff --
@mengxr ok ?
```
/**
* 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.
*/
```
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