[losses] Fix documentation of mi_loss() return value

BioMedIA · Aug 2, 2023 · f15819e · f15819e
1 parent 56cbb05
commit f15819e
Showing 1 changed file with 1 addition and 1 deletion.
diff --git a/src/deepali/losses/functional.py b/src/deepali/losses/functional.py
@@ -1005,7 +1005,7 @@ def mi_loss(
         normalized: Calculate Normalized Mutual Information instead of Mutual Information if True.
 
     Returns:
-        Negative mutual information. If ``normalized=True``, 2 is added such that the loss value is in [0, 1].
+        Negative mutual information. If ``normalized=True``, 2 is added such that the loss value is in [0, 2].
 
     """