zhengruifeng commented on code in PR #36920:
URL: https://github.com/apache/spark/pull/36920#discussion_r901346286
##########
mllib/src/main/scala/org/apache/spark/mllib/evaluation/RankingMetrics.scala:
##########
@@ -70,9 +62,14 @@ class RankingMetrics[T: ClassTag] @Since("3.4.0") (
@Since("1.2.0")
def precisionAt(k: Int): Double = {
require(k > 0, "ranking position k should be positive")
- predictionAndLabels.map { case (pred, lab, _) =>
- countRelevantItemRatio(pred, lab, k, k)
- }.mean()
+ predictionAndLabels
Review Comment:
I think we may create a private rdd, and than use it internally to minimize
changes.
something like this:
```
private val rdd = predictionAndLabels.map {
case (pred: Array[T], lab: Array[T]) => ...
case (pred: Array[T], lab: Array[T], rel: Array[Double]) => ...
}
```
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