Enable loading weights with external_weights when trainable and create model is False

mlair/run_modules/post_processing.py

@@ -301,10 +301,15 @@ class PostProcessing(RunEnvironment):
 
         :return: the model
         """
+        external_weights = self.data_store.get("external_weights")
         try:
             model = self.data_store.get("best_model")
         except NameNotFoundInDataStore:
             logging.info("No model was saved in data store. Try to load model from experiment path.")
+            if external_weights is not None:
+                logging.info("load model from external_weights path")
+                model_name = external_weights
+            else:
                 model_name = self.data_store.get("model_name", "model")
             model_class: AbstractModelClass = self.data_store.get("model", "model")
             model = keras.models.load_model(model_name, custom_objects=model_class.custom_objects)