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From jkbradley <...@git.apache.org>
Subject [GitHub] spark issue #15148: [SPARK-5992][ML] Locality Sensitive Hashing
Date Wed, 28 Sep 2016 22:18:24 GMT
Github user jkbradley commented on the issue:

    https://github.com/apache/spark/pull/15148
  
    > Our use case is mainly using similarity join to find fraud trips. I think I can change
the NN-search to only single-probing NN search of dataframe if you think it's fine. What do
you think?
    
    I'd stick with what I said before: I like the current methods provided for approxNearestNeighbors
and approxSimilarityJoin, but we could add a version of approxNearestNeighbors taking a DataFrame
instead of a single key in a future PR.


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