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Mendeley / mrec

A recommender systems development and evaluation package by Mendeley
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ENH: update imports to make mrec work with sklearn 0.15 (to be released soon) #8

Closed ogrisel closed 10 years ago

ogrisel commented 10 years ago

In particular the meaning of the l1_ratio parameter is wrong in 0.14.1 and is going to be fixed in the new release.

I also made it possible to train a model sequentially with num_engines == 0. This is useful for debugging with ipdb for instance.

ogrisel commented 10 years ago

The l1_ratio semantic change might have broken the mrec_tune example (at least on the Movie Lens 10M data). I need to investigate.

ogrisel commented 10 years ago

Thanks. Do you have any parameters for the l1 and l2 parameter that used to work well on the ML-10M dataset with sklearn <= 0.14.1 along with the cross-validated MRR so that I check that I can reproduce the result with the future sklearn 0.15?