In this step:
interp = ClassificationInterpretation.from_learner(foliar_learner) losses, idxs = interp.top_losses() len(data.valid_ds)==len(losses)==len(idxs)
What does it mean if the last line returns
False? When I try to run
I get an index out of bounds error. I know what this means generally speaking, but what does it mean in this specific case?
By the way, I’m using a different dataset that only has 4 classifications.