From 85bbe15fcba6b06cd63a24b760deb6cfb625b44d Mon Sep 17 00:00:00 2001 From: Shaunak Joshi Date: Fri, 31 Mar 2023 16:51:59 -0400 Subject: [PATCH] Fix typo fixed typo in comment --- metrics/auroc.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/metrics/auroc.py b/metrics/auroc.py index 6979c20..a039275 100644 --- a/metrics/auroc.py +++ b/metrics/auroc.py @@ -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):