Comments (2)
hexiangnan
commented on August 15, 2024
你好，非常感谢你的反馈！
根据你的描述，我检查了一下code，很抱歉，原来的说明以及code确实有问题，我做了如下修改：
- FM.py中默认hidden factor改为256，和readme中的example参数设置保持一致；
- readme中，与训练fm的code，增加了--hidden_factor 256的参数；
- 注释了FM.py和AFM.py的main函数里几行没用的代码；
你说的meta参数不匹配我没遇到，可能是参数设置不对，现在的code我试验过应该没有问题了，还请更新代码后再试试看。如有问题欢迎继续讨论，如果OK了也烦请告知，我好关闭这个issue，谢谢！
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SunBUPT
commented on August 15, 2024
已经运行成功了！非常感谢！
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Related Issues (20)
- glorot初始化 HOT 5
- can share the code？ HOT 4
- Could you please share the code? HOT 1
- Could you share your code?
- 请问预训练FM factor256需要多大内存？
- 关于AFM不能复现论文实验结果 HOT 5
- No module named LoadData
- valid_dimension的含义？
- Why there is little improvement of attenion model in my experiment ? HOT 1
- reduce_sum和softmax有bug? HOT 2
- 为什么ml-tag和frappe数据的label值是1和-1？为什么不是一个0-1之间的评分呢？求解答
- 何老师您好，这个RMSE是评分预测的损失吗
- 关于attention_score 和 interaction_score 的问题？？
- 请问batch_norm_layer这个函数似乎源码中并没有用上？？
- 实数特征支持问题 HOT 1
- Difference between FM and AFM is not as pronounced as in the original paper HOT 3
- 数据处理代码 HOT 1
- 您好，frappe最优结果的最优参数是？ HOT 8
- dropout in validation/evaluation HOT 5
- AFM训练中出现nan HOT 3
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