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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