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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