Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/16715#discussion_r100868336
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/feature/BucketedRandomProjectionLSH.scala
---
@@ -111,8 +111,8 @@ class BucketedRandomProjectionLSHModel private[ml](
* Euclidean distance metrics.
*
* The input is dense or sparse vectors, each of which represents a point
in the Euclidean
- * distance space. The output will be vectors of configurable dimension.
Hash values in the
- * same dimension are calculated by the same hash function.
+ * distance space. The output will be vectors of configurable dimension.
Hash values in the same
--- End diff --
Can we revert this?
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