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Fix typo
fixed typo in comment
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@ -57,7 +57,7 @@ class AUROCWithMWU(torchmetrics.Metric):
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This AUROC implementation is well suited to (non-zero) low-CTR. In particular it will return
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This AUROC implementation is well suited to (non-zero) low-CTR. In particular it will return
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the correct AUROC even if the predicted probabilities are all close to 0.
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the correct AUROC even if the predicted probabilities are all close to 0.
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Currently only support binary classification.
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Currently only supports binary classification.
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"""
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"""
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def __init__(self, label_threshold: float = 0.5, raise_missing_class: bool = False, **kwargs):
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def __init__(self, label_threshold: float = 0.5, raise_missing_class: bool = False, **kwargs):
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