Open jy2020-start opened 1 year ago
@jy2020-start I used google translate and if it translated the question right, this is what you can do. You can provide the _--transfertask argument with the list of domains you want to consider for training and testing. For example, in case of PU dataset, if you want it to consider 0 and 1 domains for training and 2 and 3 for testing, input _--transfertask as [[0,1],[2,3]].
python train_advanced.py --transfer_task [[0,1],[2,3]]
will run the default model with the multi domain training and adaptation for the above explained example.
Thank you for your explanation,I understand your explanation of MULTIDOMAIN UDTL, but what are the command code parameters in case of LABEL-INCONSISTENT UDTL。
I missed that part, Label-Inconsistent version of UDTL isn't implemented here. It is linked separately and is also mentioned in this repo's description. You can refer to this.
okay Thank you, your answer give me a lot of help
赵老师 您好 麻烦请问一下 在标签不一致和多域模式下的UDTL 命令行代码怎么输入呢? 我在train_advanced.py中并没有找到相关的输入参数 麻烦您解惑一下 万分感激