just disable parts of postprocessing for testing the competitors

mlair/run_modules/post_processing.py

@@ -91,16 +91,16 @@ class PostProcessing(RunEnvironment):
 
     def _run(self):
         # ols model
-        self.train_ols_model()
+        # self.train_ols_model()
 
         # forecasts
-        self.make_prediction()
+        # self.make_prediction()
 
         # competitors
-        self.load_competitors()
+        # self.load_competitors()
 
         # skill scores on test data
-        self.calculate_test_score()
+        # self.calculate_test_score()
 
         # bootstraps
         if self.data_store.get("evaluate_bootstraps", "postprocessing"):
@@ -109,8 +109,8 @@ class PostProcessing(RunEnvironment):
                 self.bootstrap_postprocessing(create_new_bootstraps)
 
         # skill scores
-        with TimeTracking(name="calculate skill scores"):
-            self.skill_scores = self.calculate_skill_scores()
+        # with TimeTracking(name="calculate skill scores"):
+        #     self.skill_scores = self.calculate_skill_scores()
 
         # plotting
         self.plot()
@@ -293,7 +293,7 @@ class PostProcessing(RunEnvironment):
                 logging.warning(
                     f"Skip 'PlotStationMap` because running on a hpc node: {self.data_store.get('hostname')}")
             else:
-                PlotStationMap(generators={'b': self.test_data}, plot_folder=self.plot_path)
+                PlotStationMap(generators={'r': self.train_val_data, 'b': self.test_data}, plot_folder=self.plot_path)
         if "PlotMonthlySummary" in plot_list:
             PlotMonthlySummary(self.test_data.keys(), path, r"forecasts_%s_test.nc", self.target_var,
                                plot_folder=self.plot_path)