add method to scale data

modules/deeplearning/unet_l1b_l2.py

@@ -244,7 +244,8 @@ class UNET:
             data_norm.append(tmp)
         data = np.stack(data_norm, axis=3)
 
-        label = scale(label, label_param, mean_std_dct)
+        if label_param != 'cloud_fraction':
+            label = scale(label, label_param, mean_std_dct)
 
         if is_training and DO_AUGMENT:
             data_ud = np.flip(data, axis=1)