I’m working through trying to get top_losses to make sense on tabular data. I can get the index’s of the most lost values in the validation dataset, but I want to try to then make another dataframe of those lost values. Is there a way to convert a TabularLine back to a dataframe? Or to just go find those values in the original dataframe itself? I hate to @sgugger here but I feel like you would know?
Specifically, when I do interp.top_losses(5, True), the output is as such:
torch.return_types.topk(values=tensor([3.3187, 2.9598, 2.9355, 2.6213, 2.2764]), indices=tensor([166, 195, 26, 42, 24])) with indices correlating to the valid_ds’s idx’s.