areylng
areylng
If you are not going to open the source code, do not put this link
 From this picture, most models have relatively clear judgments on the tampered area in most cases. Why can the F1 scores of most models be doubled or even tripled...
在run_youtubednn.py中,`SEQ_LEN = 50`,但是在创建`user_feature_columns`这一个变量的时候,声明的历史电影长度为10,这会影响模型的正确运行么? `VarLenSparseFeat(SparseFeat('hist_movie_id', vocabulary_size=feature_max_idx['movie_id'], embedding_dim=embedding_dim, embedding_name="movie_id"), maxlen=10, combiner='mean')` 在创建item tower的时候,X维度为(BatchSize,61) (1+1+1+1+1+50+6=61),当取item的id的时候,`self.feature_index['movie_id']`为[15:21],这会导致不能正确地按照维度取值? 