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get_criteo_feature.py中的特征下标应该是从1开始的,PNN.py中直接使用idx,这样的话使用tf.nn.embedding_lookup进行embedding是从0开始?
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确实,浪费一个feat_id的内存
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get_criteo_feature.py中的特征下标应该是从1开始的,PNN.py中直接使用idx,这样的话使用tf.nn.embedding_lookup进行embedding是从0开始?
The text was updated successfully, but these errors were encountered: