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仓库主要公众号机器学习荐货推荐局和一些其他的学习实践代码，持续更新中。
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您好，DCN模型在运行过程中，提示params没有定义，因为百度后也没有顺利解决，所以请问这个如何解决，
InDeepFM.py(line:244), the input of the nn is "embeddings_origin" or "embeddings"?
I think is embeddings.
y_deep = tf.reshape(embeddings_origin, shape=[-1, config.field_size * config.embedding_size]) # [None, field_size * embedding_size]
其中的 embeddings_origin 应该是 embeddings
lr+gbdt.py
过程中train和test合并后归一化，是否应该为只使用train训练归一化
Line 232 in 37838eb
deepfm中的二阶特征交叉后，并没有直接相加,而是后面与一阶特征组合起来，乘以w，所以我理解二阶特征的维度是 m*(m-1)/2,其中m为feature_group的个数,望回复，谢谢
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