use mixed sampling run script also for separation of scales

run_mixed_sampling.py

@@ -4,7 +4,8 @@ __date__ = '2019-11-14'
 import argparse
 
 from mlair.workflows import DefaultWorkflow
-from mlair.data_handler.data_handler_mixed_sampling import DataHandlerMixedSampling, DataHandlerMixedSamplingWithFilter
+from mlair.data_handler.data_handler_mixed_sampling import DataHandlerMixedSampling, DataHandlerMixedSamplingWithFilter, \
+    DataHandlerMixedSamplingSeparationOfScales
 
 
 def main(parser_args):
@@ -12,15 +13,16 @@ def main(parser_args):
                 sampling_inputs="hourly",
                 window_history_size=72,
                 **parser_args.__dict__,
-                data_handler=DataHandlerMixedSampling,  # WithFilter,
-                kz_filter_length=[365 * 24, 20 * 24],
-                kz_filter_iter=[3, 5],
+                data_handler=DataHandlerMixedSamplingSeparationOfScales,
+                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,
+                plot_list=["PlotAvailability"]
                 )
     workflow = DefaultWorkflow(**args)
     workflow.run()