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new 98708de [MINOR][ML] add missing since annotation of
meanAveragePrecision
98708de is described below
commit 98708de38cc6e933a674a260cfb3edb222bfa271
Author: zhengruifeng <ruife...@foxmail.com>
AuthorDate: Mon Jun 3 18:07:23 2019 -0500
[MINOR][ML] add missing since annotation of meanAveragePrecision
## What changes were proposed in this pull request?
add missing since annotation of meanAveragePrecision
## How was this patch tested?
existing tests
Closes #24778 from zhengruifeng/ranking_missing_since.
Authored-by: zhengruifeng <ruife...@foxmail.com>
Signed-off-by: Sean Owen <sean.o...@databricks.com>
---
.../main/scala/org/apache/spark/mllib/evaluation/RankingMetrics.scala | 1 +
1 file changed, 1 insertion(+)
diff --git
a/mllib/src/main/scala/org/apache/spark/mllib/evaluation/RankingMetrics.scala
b/mllib/src/main/scala/org/apache/spark/mllib/evaluation/RankingMetrics.scala
index 15bda99..9e35ee2 100644
---
a/mllib/src/main/scala/org/apache/spark/mllib/evaluation/RankingMetrics.scala
+++
b/mllib/src/main/scala/org/apache/spark/mllib/evaluation/RankingMetrics.scala
@@ -68,6 +68,7 @@ class RankingMetrics[T: ClassTag](predictionAndLabels:
RDD[(Array[T], Array[T])]
* If a query has an empty ground truth set, the average precision will be
zero and a log
* warning is generated.
*/
+ @Since("1.2.0")
lazy val meanAveragePrecision: Double = {
predictionAndLabels.map { case (pred, lab) =>
val labSet = lab.toSet
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