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wide deep代码里对sparse特征先做embedding,查看代码发现是直接统计所有sparse特征取值不同的数值,作为sparse_feature_number,来初始化一个embedding layer的,那这样子做岂不是不同sparse feature有同个值,embedding后的结果是一样的,比如A字段也有数值2,B字段也有数值2,这样子是不是没有区分度了
The text was updated successfully, but these errors were encountered:
需要自己对多个特征值进行id的区分
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看来可以用一个字典来做 好的了解了 谢谢~
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wide deep代码里对sparse特征先做embedding,查看代码发现是直接统计所有sparse特征取值不同的数值,作为sparse_feature_number,来初始化一个embedding layer的,那这样子做岂不是不同sparse feature有同个值,embedding后的结果是一样的,比如A字段也有数值2,B字段也有数值2,这样子是不是没有区分度了
The text was updated successfully, but these errors were encountered: