[GitHub] spark pull request: [SPARK-4001][MLlib] adding apriori and fp-grow...

[denmoroz <gi...@git.apache.org>]

Github user denmoroz commented on the pull request:

    https://github.com/apache/spark/pull/2847#issuecomment-66125004
  
    Maybe it is better to use RDD[BitSet] as transactions RDD? Then you can add a preprocessor trait and make any transformations for source RDD to RDD of BitSets. For example, transformation of RDD[Array[String]] to RDD[BitSet].
    It seems to me, that BitSet is the much better idea of transactions representation then Array[String] or Array[Int] or anything else.


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