bug fix: continuous variable handling

data/gan.py

@@ -409,7 +409,7 @@ class Train (GNet):
                 # losses = tf.compat.v1.get_collection(flag, scope)
 
                 total_loss = tf.add_n(losses, name='total_loss')
-                print (total_loss)
+                # print (total_loss)
                 return total_loss, w
         def input_fn(self):
                 """

data/maker/__init__.py

@@ -22,9 +22,10 @@ class ContinuousToDiscrete :
         This function will convert a continous stream of information into a variety a bit stream of bins
         """
         # BOUNDS = np.repeat(np.divide(X.max(),n),n).cumsum().tolist()
-        
-        BOUNDS = ContinuousToDiscrete.bounds(np.round(X,ContinuousToDiscrete.ROUND_UP),n)
-        
+        # print ( X.values.astype(np.float32))
+        # print ("___________________________")
+        values = X.values.astype(np.float32)
+        BOUNDS = ContinuousToDiscrete.bounds(values,n)
         # _map = [{"index":BOUNDS.index(i),"ubound":i} for i in BOUNDS]
         _matrix = []
         m = []
@@ -40,12 +41,13 @@ class ContinuousToDiscrete :
         #
         # for items in BOUNDS :
         #   index = BOUNDS.index(items)
-        return _matrix
+        return np.array(_matrix)
     
     @staticmethod
     def bounds(x,n):
         # return np.array_split(x,n)
-        return list(pd.cut(np.array( np.round(x,ContinuousToDiscrete.ROUND_UP) ),n).categories)
+        values = np.round(x,ContinuousToDiscrete.ROUND_UP)
+        return list(pd.cut(values,n).categories)