fixed an error in the network test file

config-network

@@ -8,6 +8,6 @@ numLayers = 3
 numNeurons = 81, 81, 81
 convolutions1 = 1
 channels1 = 1,3
-#channels12 = 1,5,5
-#kernelSize1 = (3,3)
-#kernelSize12 = (2,2)
+channels12 = 1,5,5
+kernelSize1 = (3,3)
+kernelSize12 = (2,2)

network-test.py

@@ -10,10 +10,9 @@ from machineLearning.nn.optim import SGD, SGDMomentum, NesterovMomentum, AdaGrad
 from machineLearning.nn.scheduler import ExponentialLR, SteppedLR, CyclicalLR
 from machineLearning.nn.module import Sequential, Parallel
 from machineLearning.nn.loss import CrossEntropyLoss, MSELoss, NLLLoss, MAELoss, FocalLoss
-from machineLearning.nn.observable import NetworkObservables
 from machineLearning.data import Data
 from machineLearning.utility import Time, Progressbar
-from machineLearning.metric import ConfusionMatrix
+from machineLearning.metric import ConfusionMatrix, Observables
 from machineLearning.settings import NetworkSettings
 
 
@@ -158,10 +157,16 @@ if __name__ == "__main__":
     print(optim)
     print(lossFunc)
 
+    # setting up training observables
+    metrics = Observables(settings['epochs'])
+    metrics.addOberservable('losses', 'descending')
+    metrics.addOberservable('validation', 'descending')
+    metrics.addOberservable('accuracy', 'ascending')
+    metrics.addOberservable('learningRate')
+
     # Beginn training
     print("Beginn training...")
     timer.start()
-    metrics = NetworkObservables(settings['epochs'])
     epochs = settings['epochs']
     for i in range(settings['epochs']):
         data.trainMode()