Github user coderh commented on the pull request:
https://github.com/apache/spark/pull/597#issuecomment-45731942
I have tried different lamdba and # features. But nothing has changed. To
be clear, initially, the Movielens dataset it is divided into training set(80%)
and test set(20%). The ratings are re-interpreted as `rating -2.5`, we take
only the positives in both training and test set, as we want to simulate a
implicit feedback case where no negative feedback exists. All the negative
ratings are considered as non-observed. Finally, we evaluated EPR both in
training set and test set. It's about 49%~50% in both cases. Am I doing the
right thing ?
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