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features to complete #2
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hello, I have used your ffm to train some model in big data, but the tr_loss turns out to be NaN when the data size is larger than 1000000, please do a favor |
@lmxiaonuo I have also encountered this problem. Have you solved it? |
I just made a PR for this issue, you can get it from #16 |
@VinceShieh I have sloved it! thank you |
@Thinkgamer did u resolve the issue with the PR I submitted or some other means you tried? If the PR works, I will merge it. Thanks. |
@VinceShieh I did not try your PR,I did some processing on the features. Next I will test your changes and then send feedback. Thank you. |
I summarize the current design and come out with a few things that can be done to make spark-ffm better.
1. add global bias intercept and one-way interactions, current design only support pairwise interactions
2. normalization support
It'd be nice if any of you are interested in working on this project, you are always welcome and I will try best to help. :)
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