non-continuous categories

[SONGLEI-arch]

Hello!

Your code removes categories with the sample size less than 2, resulting in non-continuous integers in the categories. However, it seems that the categories were not reordered during the subsequent task partitioning. May I ask if there will be any errors on this side?

Thank you!

[QueuQ]

Thanks for the question. It shouldn't incur any error. Whatever the order of the classes is, they are added sequentially during training regardless of their original id in the original datasets.

CGLB/NCGL/pipeline.py

Line 72 in f514016

cls = [list(range(i, i + args.n_cls_per_task)) for i in range(0, args.n_cls-1, args.n_cls_per_task)]

In the line above, the task sequences can also be replaced with any arbitrary order of class pairs, e.g. [3,7],[2,6],..., instead of [1,2],[3,4].