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我有两种训练文件一种是稠密的向量dense 数据,一种是sparse的,怎么将这两种训练文件读入,读取后不同的data_layer的联合训练,类似google 的wide和deep的模型训练方式?
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请阅读文档:http://www.paddlepaddle.org/release_doc/0.9.0/doc_cn/ui/data_provider/index.html
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好的,谢谢! 1:我想在train.list的时候分开不同的文件,里面含有两种类型的训练文件,在process的时候分别处理,可是这样会出错。 2:我把两种数据合并在一个文件里,一个ins的拼接稀疏二值向量和浮点稠密的向量 在一个dataProvider的process里面做了解析,在inputtypes里面定义了两个数据field,在网络配置里分别指给对应的data_layer。这样能run,请问这种做法是不是比较low?有更好的方式请给予建议。
好的,非常感谢
lcy-seso
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我有两种训练文件一种是稠密的向量dense 数据,一种是sparse的,怎么将这两种训练文件读入,读取后不同的data_layer的联合训练,类似google 的wide和deep的模型训练方式?
The text was updated successfully, but these errors were encountered: