Sorry for the confusion. Yes, I meant the recommender evaluation metric such as RMSE, Precision, Recall etc which are inbuilt. But, I am planning (or reusing - let me know if already done) to write the metrics such as nDCG, Popularity, Avg. Rating, diversity etc.
Thanks Vikas On Mon, Mar 2, 2015 at 6:46 PM, Pat Ferrel <p...@occamsmachete.com> wrote: > Evaluation metric? You mean like the old recommender evaluator? I’d use > MAP mean average precision, but none are implemented in the new Spark > recommender code. > > On Mar 2, 2015, at 3:12 PM, Vikas Kumar <kumar...@umn.edu> wrote: > > I am implementing recommendation techniques in Mahout. However, I have a > requirement for a custom evaluation metrics other than predefined or > built-in ones. So, > > Q: Can someone please point me to sample custom Evaluator or metric > implementation in Mahout? > > > Thanks > Vikas > >
