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您好,请问在run.py代码中 对label_len参数有一个标注:# no longer needed in inverted Transformers 据我所了解label_len是计算损失函数时所用的序列长度,是为了针对特定的预测范围和需求。那为什么在iTransformer这一倒置操作以后就不需要label_len了呢?但是在我跑的traffic预测任务的sh文件中对iTransformer的参数设置 没有提及label_len,那就是采用默认的48,与pred_len的96也不吻合,所以我不是很理解iTransformer不需要label_len的含义,是指不需要调整这个超参数吗?那为什么48比较好而不是和pred_len 一致呢?请指教!!🙏🙏🙏
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您好,请参考:thuml/Time-Series-Library#49
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您好,请问在run.py代码中 对label_len参数有一个标注:# no longer needed in inverted Transformers
据我所了解label_len是计算损失函数时所用的序列长度,是为了针对特定的预测范围和需求。那为什么在iTransformer这一倒置操作以后就不需要label_len了呢?但是在我跑的traffic预测任务的sh文件中对iTransformer的参数设置 没有提及label_len,那就是采用默认的48,与pred_len的96也不吻合,所以我不是很理解iTransformer不需要label_len的含义,是指不需要调整这个超参数吗?那为什么48比较好而不是和pred_len 一致呢?请指教!!🙏🙏🙏
The text was updated successfully, but these errors were encountered: