updated run_mixed_sampling to have a running example regarding the current changes

run_mixed_sampling.py

@@ -7,22 +7,33 @@ from mlair.workflows import DefaultWorkflow
 from mlair.data_handler.data_handler_mixed_sampling import DataHandlerMixedSampling, DataHandlerMixedSamplingWithFilter, \
     DataHandlerSeparationOfScales
 
+stats = {'o3': 'dma8eu', 'no': 'dma8eu', 'no2': 'dma8eu',
+         'relhum': 'average_values', 'u': 'average_values', 'v': 'average_values',
+         'cloudcover': 'average_values', 'pblheight': 'maximum',
+         'temp': 'maximum'}
+data_origin = {'o3': '', 'no': '', 'no2': '',
+               'relhum': 'REA', 'u': 'REA', 'v': 'REA',
+               'cloudcover': 'REA', 'pblheight': 'REA',
+               'temp': 'REA'}
+
 
 def main(parser_args):
-    args = dict(sampling="daily",
-                sampling_inputs="hourly",
-                window_history_size=24,
-                **parser_args.__dict__,
-                data_handler=DataHandlerSeparationOfScales,
+    args = dict(stations=["DEBW107", "DEBW013"],
+                network="UBA",
+                evaluate_bootstraps=False, plot_list=[],
+                data_origin=data_origin, data_handler=DataHandlerMixedSampling,
+                interpolation_limit=(3, 1), overwrite_local_data=False,
+                sampling=("hourly", "daily"),
+                statistics_per_var=stats,
+                create_new_model=False, train_model=False, epochs=1,
+                window_history_size=48,
                 kz_filter_length=[100 * 24, 15 * 24],
                 kz_filter_iter=[4, 5],
                 start="2006-01-01",
                 train_start="2006-01-01",
                 end="2011-12-31",
                 test_end="2011-12-31",
-                stations=["DEBW107", "DEBW013"],
-                epochs=100,
-                network="UBA",
+                **parser_args.__dict__,
                 )
     workflow = DefaultWorkflow(**args)
     workflow.run()