prepare experiment to use bootstraps

src/helpers.py

@@ -145,6 +145,13 @@ def set_experiment_name(experiment_date=None, experiment_path=None):
     return experiment_name, experiment_path
 
 
+def set_bootstrap_path(bootstrap_path, data_path, sampling):
+    if bootstrap_path is None:
+        bootstrap_path = os.path.join(data_path, "..", f"bootstrap_{sampling}")
+    check_path_and_create(bootstrap_path)
+    return bootstrap_path
+
+
 class PyTestRegex:
     """Assert that a given string meets some expectations."""
 

src/run_modules/experiment_setup.py

@@ -33,13 +33,17 @@ class ExperimentSetup(RunEnvironment):
                  window_lead_time=None, dimensions=None, interpolate_dim=None, interpolate_method=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, trainable=False, fraction_of_train=None,
-                 experiment_path=None, plot_path=None, forecast_path=None, overwrite_local_data=None):
+                 experiment_path=None, plot_path=None, forecast_path=None, overwrite_local_data=None, sampling="daily",
+                 bootstrap_path=None):
 
         # create run framework
         super().__init__()
 
         # experiment setup
         self._set_param("data_path", helpers.prepare_host())
+        data_path = self.data_store.get("data_path", "general")
+        bootstrap_path = helpers.set_bootstrap_path(bootstrap_path, data_path, sampling)
+        self._set_param("bootstrap_path", bootstrap_path)
         self._set_param("trainable", trainable, default=False)
         self._set_param("fraction_of_training", fraction_of_train, default=0.8)