diff --git a/src/run.py b/src/run.py
index 705c612560d139292e3ec55c4f5c223318307447..ac1d27b8a05a544bd623bcfd7fca5884986abf2a 100644
--- a/src/run.py
+++ b/src/run.py
@@ -5,26 +5,27 @@ import inspect
 
 
 def run(stations=['DEBW107', 'DEBY081', 'DEBW013', 'DEBW076', 'DEBW087', 'DEBW001'],
-            station_type='background',
-            trainable=False, create_new_model=True,
-            window_history_size=6,
-            experiment_date="testrun",
-            network=None,
-            variables=None, statistics_per_var=None,
-            start=None, end=None,
-            target_var="o3", target_dim=None,
-            window_lead_time=None,
-            dimensions=None,
-            interpolate_method=None, interpolate_dim=None, limit_nan_fill=None,
-            train_start=None, train_end=None, val_start=None, val_end=None, test_start=None, test_end=None,
-            use_all_stations_on_all_data_sets=True, fraction_of_train=None,
-            experiment_path=None, plot_path=None, forecast_path=None, bootstrap_path=None, overwrite_local_data=None,
-            sampling="daily",
-            permute_data_on_training=False, extreme_values=None, extremes_on_right_tail_only=None,
-            transformation=None,
-            train_min_length=None, val_min_length=None, test_min_length=None,
-            evaluate_bootstraps=True, number_of_bootstraps=None, create_new_bootstraps=False,
-            plot_list=None):
+        station_type='background',
+        trainable=False, create_new_model=True,
+        window_history_size=6,
+        experiment_date="testrun",
+        network=None,
+        variables=None, statistics_per_var=None,
+        start=None, end=None,
+        target_var="o3", target_dim=None,
+        window_lead_time=None,
+        dimensions=None,
+        interpolate_method=None, interpolate_dim=None, limit_nan_fill=None,
+        train_start=None, train_end=None, val_start=None, val_end=None, test_start=None, test_end=None,
+        use_all_stations_on_all_data_sets=True, fraction_of_train=None,
+        experiment_path=None, plot_path=None, forecast_path=None, bootstrap_path=None, overwrite_local_data=None,
+        sampling="daily",
+        permute_data_on_training=False, extreme_values=None, extremes_on_right_tail_only=None,
+        transformation=None,
+        train_min_length=None, val_min_length=None, test_min_length=None,
+        evaluate_bootstraps=True, number_of_bootstraps=None, create_new_bootstraps=False,
+        plot_list=None,
+        model=None):
 
     params = inspect.getfullargspec(ExperimentSetup).args
     kwargs = {k: v for k, v in locals().items() if k in params}