Updated thesis

src/data/dataset.py

@@ -169,8 +169,7 @@ class NrvDataset(Dataset):
             all_features = torch.cat(all_features_list, dim=0)
 
         else:
-            all_features_list = [nrv_features + self.]
-            
+            all_features_list = [nrv_features.unsqueeze(1)]
 
             if self.forecast_features.numel() > 0:
                 history_forecast_features = self.forecast_features[