exception_activation_funktion_1 implemented

main.py

@@ -24,6 +24,8 @@ def run_cross_validation():
     # Initialisieren der KNN-Modellbau Eigenschaften
     for optimization_method in Optimierungsverfahren:
         for activation_function_1 in Aktivierungsfunktion:
+            if activation_function_1.name in config['knn']['exception_activation_funktion_1']:
+                continue
             for activation_function_128 in Aktivierungsfunktion:
                 model_evaluate_metrics = []
                 training_duration_models = []

ressources/config/config.yaml

@@ -4,6 +4,8 @@ bilder:
   knn_path: "assets/Bilder/AktuelleTrainingsUndTestdaten/"
 knn:
   epochs: 10
+  exception_activation_funktion_1:
+    ['ReLU']
 result:
   plot_path: "ressources/results/plot/"
   excel_path: "ressources/results/excel/"