Github user debasish83 commented on the pull request:
https://github.com/apache/spark/pull/3098#issuecomment-89729377
I meant MAP...what's the MAP on netflix dataset you have seen before and
with what lambda ? I am running MAP experiments with various factorization
formulations including loglikelihood loss with normalization constraints...also
how do you define MAP for implicit feedback (binary dataset, click is 1 and no
click is 0) ? In the label set every rating is 1.0 and so there is no ranking
defined as such...
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