run settings for candidate network; 2020_05_19-140820_network_PaperCandidate/

run.py

@@ -23,12 +23,12 @@ def main(parser_args):
     with RunEnvironment():
 
         ExperimentSetup(parser_args,
-                        #stations=stations,
-                        stations=['DEBW107', 'DEBY081', 'DEBW013', 'DEBW076', 'DEBW087', 'DEBW001'],
+                        stations=stations,
+                        # stations=['DEBW107', 'DEBY081', 'DEBW013', 'DEBW076', 'DEBW087', 'DEBW001'],
                         station_type='background', window_lead_time=4, window_history_size=6,
                         trainable=False, create_new_model=True, permute_data_on_training=True,
-                        extreme_values=3., train_min_length=365*5, val_min_length=365, test_min_length=365*2,
-                        create_new_bootstraps=True,)
+                        extreme_values=3., train_min_length=365*4, val_min_length=365, test_min_length=365,
+                        create_new_bootstraps=True,hpc_hosts=["za"])
 
         PreProcessing()