huangjunheng / recommendation_model Goto Github PK
View Code? Open in Web Editor NEW练习下用pytorch来复现下经典的推荐系统模型, 如MF, FM, DeepConn, MMOE, PLE, DeepFM, NFM, DCN, AFM, AutoInt, ONN, FiBiNET, DCN-v2, AFN, DCAP等
练习下用pytorch来复现下经典的推荐系统模型, 如MF, FM, DeepConn, MMOE, PLE, DeepFM, NFM, DCN, AFM, AutoInt, ONN, FiBiNET, DCN-v2, AFN, DCAP等
您好,在autoint模型的实现中,我注意到您好像并没有对数值型特征进行embedding
It looks like you're just implementing the CGC model in the PLE paper (or, of course, as a special case of PLE).
# 还不懂啥意思
test_transformed['det_hh_fam_stat_ Grandchild <18 ever marr not in subfamily'] = 0
这一步是不是因为测试集里的变量det_hh_fam_stat没有 'Grandchild <18 ever marr not in subfamily', 但是训练集里面是有这个类型的,所以这里直接把测试集的设为0.
像这种训练集和测试集类别变量取值有差别的情况,有什么好的统一操作解决的吗? 增加一个Other类别?
dcn_v2/dcn_v2.py 第47行,应该是 fc = self.dropout(fc)
,减号应该换成等号~
Hello~
最近遇到多目标学习的问题,用一个模型学习回归和分类任务,但是用MMOE结果很异常。
要是想适应回归和分类任务,你对如何修改MMOE有什么建议么?
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