docstring changed, thanks Mel

InnerEye/ML/SSL/lightning_containers/ssl_container.py

@@ -226,7 +226,7 @@ def _get_transforms(self, augmentation_config: Optional[CfgNode],
  :param dataset_name: name of the dataset, value has to be in SSLDatasetName, determines which transformation
  pipeline to return.
  :param is_ssl_encoder_module: if True the transformation pipeline will yield two versions of the image it is
- applied on and it applies the same transformations for training and validation. Note that if your transformation 
+ applied on and it applies the training transformations also at validation time. Note that if your transformation 
  does not contain any randomness, the pipeline will return two identical copies. If False, it will return only one 
  transformation.
  :return: training transformation pipeline and validation transformation pipeline.