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From MLnick <...@git.apache.org>
Subject [GitHub] spark issue #17090: [Spark-19535][ML] RecommendForAllUsers RecommendForAllIt...
Date Wed, 01 Mar 2017 14:30:52 GMT
Github user MLnick commented on the issue:

    https://github.com/apache/spark/pull/17090
  
    It could also be I'm overthinking things - and we can mould the `RankingEvaluator` to
accept both types of input - the array version: `(Array(predictions), Array(labels))` or the
"exploded" version: `(label, prediction)`.
    
    In which case it doesn't really matter what call we make here, as long as we're consistent
with it later.


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