Fix versionadded

Author: adamjstewart

torchgeo/datamodules/digital_typhoon.py

@@ -16,7 +16,10 @@
 
 
 class DigitalTyphoonDataModule(NonGeoDataModule):
-    """Digital Typhoon Data Module."""
+    """Digital Typhoon Data Module.
+
+    .. versionadded:: 0.6
+    """
 
     valid_split_types = ('time', 'typhoon_id')
 

torchgeo/datamodules/geonrw.py

@@ -21,7 +21,7 @@ class GeoNRWDataModule(NonGeoDataModule):
     Implements 80/20 train/val splits based on city locations.
     See :func:`setup` for more details.
 
-    .. versionadded: 0.6
+    .. versionadded:: 0.6
     """
 
     def __init__(

torchgeo/datasets/levircd.py

@@ -329,8 +329,6 @@ class LEVIRCDPlus(LEVIRCDBase):
     If you use this dataset in your research, please cite the following paper:
 
     * https://arxiv.org/abs/2107.09244
-
-    .. versionchanged:: 0.6
     """
 
     url = 'https://drive.google.com/file/d/1JamSsxiytXdzAIk6VDVWfc-OsX-81U81'

torchgeo/trainers/byol.py

@@ -122,8 +122,8 @@ class BackboneWrapper(nn.Module):
     * The output of the encoding layer is passed through the projection head
     * The forward call returns the output of the projection head
 
-    .. versionchanged 0.4: Name changed from *EncoderWrapper* to
-       *BackboneWrapper*.
+    .. versionchanged:: 0.4
+       Name changed from *EncoderWrapper* to *BackboneWrapper*.
     """
 
     def __init__(

torchgeo/trainers/segmentation.py

@@ -77,15 +77,15 @@ class and used with 'ce' loss.
            were renamed to *model*, *backbone*, and *weights*.
 
         .. versionadded:: 0.5
-            The *class_weights*, *freeze_backbone*, and *freeze_decoder* parameters.
+           The *class_weights*, *freeze_backbone*, and *freeze_decoder* parameters.
 
         .. versionchanged:: 0.5
            The *weights* parameter now supports WeightEnums and checkpoint paths.
            *learning_rate* and *learning_rate_schedule_patience* were renamed to
            *lr* and *patience*.
 
         .. versionchanged:: 0.6
-            The *ignore_index* parameter now works for jaccard loss.
+           The *ignore_index* parameter now works for jaccard loss.
         """
         self.weights = weights
         super().__init__(ignore='weights')