A Spark-based implementation of Field-Awared Factorization Machine with parallelled AdaGrad solver. See http://www.csie.ntu.edu.tw/~cjlin/papers/ffm.pdf
Need to rework the data format the fit FFM, that is to extends LIBSVM data format by adding field information to each feature to have formation like: label field1:feat1:val1 field2:feat2:val2
This repo is no longer maintained. We have added FFM-Spark into our new repo imllib-spark. Please use the new repo, thanks!
If you encounter bugs, feel free to submit an issue or pull request.