contoled data set prediction model

neurone/main.py

@@ -9,7 +9,7 @@ from pybrain3.tools.xml.networkwriter import NetworkWriter
 from pybrain3.tools.xml.networkreader import NetworkReader
 
 # https://www.machinelearningmastery.ru/how-to-configure-the-number-of-layers-and-nodes-in-a-neural-network/
-class BackPropagationModel():
+class SupervisedDataSetModel():
     def __init__(self, metrics:int = 4, 
                  predictions:int = 1, 
                  input_layer:int = 4, 
@@ -54,7 +54,7 @@ class BackPropagationModel():
         fileObject.close()
         return net2
         
-model = BackPropagationModel()
+model = SupervisedDataSetModel()
 
 model.addDataToModel([2, 3, 80, 1], [5])
 model.addDataToModel([5, 5, 50, 2], [4])