Github user Yunni commented on a diff in the pull request:
https://github.com/apache/spark/pull/15874#discussion_r89175473
--- Diff: mllib/src/main/scala/org/apache/spark/ml/feature/LSH.scala ---
@@ -155,8 +148,30 @@ private[ml] abstract class LSHModel[T <: LSHModel[T]]
}
/**
- * Overloaded method for approxNearestNeighbors. Use Single Probing as
default way to search
- * nearest neighbors and "distCol" as default distCol.
+ * Given a large dataset and an item, approximately find at most k items
which have the closest
+ * distance to the item. If the [[outputCol]] is missing, the method
will transform the data; if
+ * the [[outputCol]] exists, it will use the [[outputCol]]. This allows
caching of the
+ * transformed data when necessary.
+ *
+ * NOTE: This method is experimental and will likely change behavior in
the next release.
+ *
+ * @param dataset the dataset to search for nearest neighbors of the key
+ * @param key Feature vector representing the item to search for
+ * @param numNearestNeighbors The maximum number of nearest neighbors
+ * @param distCol Output column for storing the distance between each
result row and the key
+ * @return A dataset containing at most k items closest to the key. A
distCol is added to show
--- End diff --
Done.
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