Merge branch 'binned_metrics' of https://github.com/maximsch2/metrics …

…into binned_metrics

torchmetrics/classification/binned_precision_recall.py

@@ -103,11 +103,6 @@ class BinnedPrecisionRecallCurve(Metric):
         tensor([0.0000, 0.5000, 1.0000])]
     """
 
-    TPs: Tensor
-    FPs: Tensor
-    FNs: Tensor
-    thresholds: Tensor
-
     def __init__(
         self,
         num_classes: int,
@@ -165,7 +160,7 @@ def compute(self) -> Tuple[Tensor, Tensor, Tensor]:
         precisions = torch.cat([
             precisions, torch.ones(self.num_classes, 1, dtype=precisions.dtype, device=precisions.device)
         ],
-                               dim=1)
+            dim=1)
         recalls = torch.cat([recalls,
                              torch.zeros(self.num_classes, 1, dtype=recalls.dtype, device=recalls.device)],
                             dim=1)