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@mattwarkentin I have played with the idea we discussed in #6 using
yardstick
here.The problems I see are:
accuracy
in yardstick expects factors while torch don't know about factors at all.(batch_size, 1)
predictions. I think this enough for us to re-implement stuff in luz.I tried to fix these by allowing a
transform
function that is called before trying to apply the metrics, so the user has control on how to transform predictions and targets before passing to yardstick.What do you think?