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Fix typo

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fixed typo in comment
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Shaunak Joshi 2023-03-31 16:51:59 -04:00 committed by GitHub
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metrics/auroc.py
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@ -57,7 +57,7 @@ class AUROCWithMWU(torchmetrics.Metric):
This AUROC implementation is well suited to (non-zero) low-CTR. In particular it will return
the correct AUROC even if the predicted probabilities are all close to 0.
Currently only support binary classification.
Currently only supports binary classification.
"""
def __init__(self, label_threshold: float = 0.5, raise_missing_class: bool = False, **kwargs):