lint

src/torchmetrics/wrappers/transformations.py

@@ -160,9 +160,7 @@ class BinaryTargetTransformer(MetricInputTransformer):
 
     """
 
-    def __init__(
-        self, wrapped_metric: Union[Metric, MetricCollection], threshold: Union[int, float] = 0, **kwargs: Any
-    ) -> None:
+    def __init__(self, wrapped_metric: Union[Metric, MetricCollection], threshold: float = 0, **kwargs: Any) -> None:
         super().__init__(wrapped_metric, **kwargs)
         if not isinstance(threshold, (int, float)):
             raise TypeError(f"Expected `threshold` to be of type `int` or `float` but received `{threshold}`")