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Documentation file: https://github.com/Lightning-AI/metrics/blob/v0.10.2/docs/source/pages/classification.rst For binary inputs target, the example used was: binary_target = torch.tensor([1, 0, 2]), while for binary I believe there should be no more than 2 different integers. So it should be binary_target = torch.tensor([1, 0, 1])
binary_target = torch.tensor([1, 0, 2])
binary_target = torch.tensor([1, 0, 1])
The text was updated successfully, but these errors were encountered:
Hi! thanks for your contribution!, great first issue!
Sorry, something went wrong.
Page was completly removed in this PR #1251 since the information was somewhat outdated. Instead the specifics of the expected shape are stated in the docs for each classification metric. See for example: https://torchmetrics.readthedocs.io/en/latest/classification/accuracy.html#binaryaccuracy Closing issue.
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Documentation file: https://github.com/Lightning-AI/metrics/blob/v0.10.2/docs/source/pages/classification.rst
For binary inputs target, the example used was:
binary_target = torch.tensor([1, 0, 2])
, while for binary I believe there should be no more than 2 different integers. So it should bebinary_target = torch.tensor([1, 0, 1])
The text was updated successfully, but these errors were encountered: