Hi, we use clearml to track all our experiments. For each experiment the accuracy the logged for both the training and the test set:

self.logger.report_scalar('accuracy', 'train', acc_train, iteration=i) self.logger.report_scalar('accuracy', 'val', acc_val, iteration=i)
However, all the images also have labels like 'day' or 'night'. Now I would also like to see accuracy for the part of the train set with label 'day' or the accuracy for the part of the validation set with label 'night' for example.

possibilities are:
creating extra metrics: 'accuracy-day' and 'accuracy-night', so then there are 3 metrics 'accuracy', 'accuracy-day', 'accuracy-night' creating extra variants: 'train-day', 'train-night', 'val-train', 'val-night'
A third options, which I think would be very nice:
having multiple levels of hierarchy possible: accuracy > day > train or accuracy > night > val
As far as I know this is currently not possible, is this worth considering as a feature for the near future?