Hi there, any plans to add wrappers for libFM or libFFM?

[FuriouslyCurious]

libFM and libFFM are used a lot in Kaggle.

I will buy the whole team a round of beers if you can include a wrapper for either one of those in REP.

Thanks guys!

[arogozhnikov]

@FuriouslyCurious as for original LibFM - definitely not. It is quite useless in practice, since it officially doesn't support storing/loading trained model. It's a pity, since original implementation is quite reliable compared to other implementations (for any real-world application this is a show-stopper).

LibFFM requires passing additional information (fields), which can't be provided in scikit-learn format. Without it, LibFFM is not different from LibFM.

I wanted to compare ALS implementations of LibFM and FastFM. If FastFM ALS turns out to be good enough, we'll integrate it. (BTW, help in this comparison is welcome)

[FuriouslyCurious]

Sure I am happy to help Alex - I will do a comparo on my data and share some results here next month.