Hi,
if I have predictions on my validation set with:
preds = learn.get_preds()
then
torch.argmax(preds[0],dim=1)[:15] >>> tensor([19, 19, 19, 19, 5, 5, 5, 27, 27, 27, 27, 27, 27, 27, 27])
How can I get back the category names from that? I want a list similar to this:
>>> ['DH', 'DH', 'DH', 'DH', 'AH0', 'AH0', 'AH0', 'HH', 'HH', 'HH', 'HH', 'HH', 'HH', 'HH', 'HH']
Is there a dictionary stored anywhere in the data block, where every number is assigned to a category?