diff --git a/neuralprophet/configure.py b/neuralprophet/configure.py
index 78f34b1f8..c0bb6bd83 100644
--- a/neuralprophet/configure.py
+++ b/neuralprophet/configure.py
@@ -22,7 +22,6 @@
 
 @dataclass
 class Model:
-    lagged_reg_layers: Optional[List[int]]
     quantiles: Optional[List[float]] = None
 
     def setup_quantiles(self):
diff --git a/neuralprophet/df_utils.py b/neuralprophet/df_utils.py
index 79157d508..dc183d798 100644
--- a/neuralprophet/df_utils.py
+++ b/neuralprophet/df_utils.py
@@ -203,7 +203,7 @@ def data_params_definition(
             norm_type=normalize,
         )
 
-    if config_lagged_regressors.regressors is not None:
+    if config_lagged_regressors is not None and config_lagged_regressors.regressors is not None:
         for covar in config_lagged_regressors.regressors.keys():
             if covar not in df.columns:
                 raise ValueError(f"Lagged regressor {covar} not found in DataFrame.")