srowen commented on a change in pull request #24458: [SPARK-27540][MLlib] Add
'meanAveragePrecision_at_k' metric to RankingMetrics
URL: https://github.com/apache/spark/pull/24458#discussion_r278596815
##########
File path:
mllib/src/main/scala/org/apache/spark/mllib/evaluation/RankingMetrics.scala
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@@ -92,6 +92,56 @@ class RankingMetrics[T: ClassTag](predictionAndLabels:
RDD[(Array[T], Array[T])]
}.mean()
}
+ /**
+ * Returns the mean average precision (MAP) at ranking position k of all the
queries.
Review comment:
It's kind of "average precision up to position k" rather than at? but I
understand its conventional to call this average precision at k. Is there
anything we can link to to further explain?
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