Tweaked cost function

rgbAI/lib/func.py

@@ -16,7 +16,7 @@ class AIlib:
         for i in range(outLen):
             sumC += (out[i] - correctOut[i])**2 # get the difference of every value
 
-        return sumC / outLen # return the average cost of all rows
+        return sumC # return the average cost of all rows
 
     def genRandomMatrix( x:int, y:int, min: float=0.0, max: float=1.0 ): # generate a matrix with x, y dimensions with random values from min-max in it
         return np.random.rand(x, y)

rgbAI/main.py

@@ -22,8 +22,8 @@ class rgb(object):
 
     def calcError( self, inp:np.array, out:np.array ):
         cost = ai.calcCost( inp, out )
-        print(cost)
         # Cost needs to get to 0, we can figure out this with backpropagation
+        return cost
 
     def learn():
         print("learn")
@@ -49,4 +49,6 @@ def init(): # init
 
     cost = bot.calcError(inpArr, res)
 
+    print("Cost: " + str(cost))
+
 init()