Github user Yunni commented on a diff in the pull request:
https://github.com/apache/spark/pull/15795#discussion_r86889774
--- Diff: docs/ml-features.md ---
@@ -1396,3 +1396,134 @@ for more details on the API.
{% include_example python/ml/chisq_selector_example.py %}
</div>
</div>
+
+# Locality Sensitive Hashing
+[Locality Sensitive
Hashing(LSH)](https://en.wikipedia.org/wiki/Locality-sensitive_hashing) is a
class of dimension reduction hash families, which can be used as both feature
transformation and machine-learned ranking. Difference distance metric has its
own LSH family class in `spark.ml`, which can transform feature columns to hash
values as new columns. Besides feature transforming, `spark.ml` also
implemented approximate nearest neighbor algorithm and approximate similarity
join algorithm using LSH.
--- End diff --
Rephrased. PTAL
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