srowen commented on a change in pull request #23881: [SPARK-26981][MLlib] Add
'Recall_at_k' metric to RankingMetrics
URL: https://github.com/apache/spark/pull/23881#discussion_r262056984
##########
File path:
mllib/src/main/scala/org/apache/spark/mllib/evaluation/RankingMetrics.scala
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@@ -157,6 +141,63 @@ class RankingMetrics[T: ClassTag](predictionAndLabels:
RDD[(Array[T], Array[T])]
}.mean()
}
+ /**
+ * Compute the average recall of all the queries, truncated at ranking
position k.
+ *
+ * If for a query, the ranking algorithm returns n results, the recall value
will be
Review comment:
This is fine; you could also just references the documentation for
precisionAt here rather than repeat it.
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