Comments (6)
lmxiaonuo
commented on June 14, 2024
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
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Thinkgamer
commented on June 14, 2024
@lmxiaonuo I have also encountered this problem. Have you solved it?
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VinceShieh
commented on June 14, 2024
I just made a PR for this issue, you can get it from #16
and test on your end.
And also please open an issue if the problem still exists.
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Thinkgamer
commented on June 14, 2024
@VinceShieh I have sloved it! thank you
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VinceShieh
commented on June 14, 2024
@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.
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Thinkgamer
commented on June 14, 2024
@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.
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Related Issues (12)
- initial coef and predict value HOT 1
- Can't load FMM model HOT 7
- Weight Initialisation might be a cause for loss NaN HOT 1
- Update W & b error HOT 7
- Loss without regularization HOT 3
- Prediction Label >= 0.5 should change to > 0.5 ？ HOT 1
- average loss bug HOT 3
- I got this error
- Is it necessary to save ffm model to hdfs? HOT 2
- tr_loss is always NaN HOT 9
- Feature indices do not conincide HOT 8
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