diff --git a/CHANGELOG.md b/CHANGELOG.md
index 0507c492..dfedc482 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,5 +1,8 @@
 # CHANGELOG
 
+### 3.7.1
+- fix: edge case when saving predictions under Classification channel, without saving entropy.
+
 ## 3.7.0
 - Update all versions of Pytorch, Pytorch Lightning, and Pytorch Geometric.
   Changes are retrocompatible for models trained with older versions (with adjustment to the configuration file). 
diff --git a/myria3d/models/interpolation.py b/myria3d/models/interpolation.py
index 33dc801f..dbefbc55 100644
--- a/myria3d/models/interpolation.py
+++ b/myria3d/models/interpolation.py
@@ -65,7 +65,7 @@ def load_full_las_for_update(self, src_las: str, epsg: str) -> np.ndarray:
         # We do not reset the dims we create channel.
         # Slight risk of interaction with previous values, but it is expected that all non-artefacts values are updated.
 
-        pipeline = get_pdal_reader(src_las, epsg)
+        pipeline = pdal.Pipeline() | get_pdal_reader(src_las, epsg)
         for proba_channel_to_create in self.probas_to_save:
             pipeline |= pdal.Filter.ferry(dimensions=f"=>{proba_channel_to_create}")
             pipeline |= pdal.Filter.assign(value=f"{proba_channel_to_create}=0")
diff --git a/package_metadata.yaml b/package_metadata.yaml
index a861d216..e4938cd6 100644
--- a/package_metadata.yaml
+++ b/package_metadata.yaml
@@ -1,4 +1,4 @@
-__version__: "3.7.0"
+__version__: "3.7.1"
 __name__: "myria3d"
 __url__: "https://github.com/IGNF/myria3d"
 __description__: "Deep Learning for the Semantic Segmentation of Aerial Lidar Point Clouds"