Comments (2)
Hi! thanks for your contribution!, great first issue!
from torchmetrics.
I think I found the problem. The returned thresholds are probabilities, because
preds (float tensor): (N, ...). Preds should be a tensor containing probabilities or logits for each observation. If preds has values outside [0,1] range we consider the input to be logits and will auto apply sigmoid per element.
So it makes sense. My fault... However, I didn't find it very clear at first.
thresholds: an 1d tensor of size (n_thresholds, ) with decreasing threshold values
from torchmetrics.
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from torchmetrics.