Learning Rate entfernt

ressources/config/config.yaml

@@ -6,29 +6,11 @@ bilder:
 knn:
   epochs: 10
   exception_optimization_method:
-    ['SGD']
+    ['SGD', 'Ftrl']
   exception_activation_funktion_2:
     ['ReLU']
   ignoreKnnCombinations:
-    [
-      ['SGD','ReLU','sigmoid'],
-      ['SGD','sigmoid','sigmoid'],
-      # Adam Complete List
-      ['Adam','ReLU','sigmoid'],
-      ['Adam','sigmoid','sigmoid'],
-      # master_1
-      ['Adam','tanh','sigmoid'],
-      ['Adam','softmax','sigmoid'],
-      ['Adam','sigmoid','tanh' ],
-      ['Adam','softmax','tanh' ],
-      ['Adam','ReLU','tanh' ],
-      # master_2
-      ['Adam','tanh','tanh'],
-      ['Adam','sigmoid','softmax'],
-      ['Adam','tanh','softmax'],
-      ['Adam','ReLU','softmax'],
-      ['Adam','softmax','softmax']
-    ]
+    []
 result:
   plot_path: "ressources/results/plot/"
   excel_path: "ressources/results/excel/"

src/knn/defineKNN.py

@@ -49,7 +49,7 @@ def get_optimization_method(optimization_method):
     if optimization_method == Optimierungsverfahren.SGD:
         return tf.keras.optimizers.SGD(learning_rate=0.001, momentum=0.9)
     if optimization_method == Optimierungsverfahren.Adam:
-        return tf.keras.optimizers.Adam(learning_rate=0.001)
+        return tf.keras.optimizers.Adam()
     if optimization_method == Optimierungsverfahren.Ftrl:
-        return tf.keras.optimizers.Ftrl(learning_rate=0.001)
+        return tf.keras.optimizers.Ftrl()
     return None