..

data/gan.py

@@ -604,7 +604,7 @@ class Predict(GNet):
                                 
                                 # df =   pd.DataFrame(np.round(f)).astype(np.int32)
                                 # candidates.append (np.round(_matrix).astype(np.int64)) 
-                                candidates.append( [np.round(row).astype(int) for row in _matrix])                       
+                                candidates.append(np.array([np.round(row).astype(int) for row in _matrix]))                       
                 # return candidates[0] if len(candidates) == 1 else candidates
                 
                 return candidates 

data/maker/prepare/__init__.py

@@ -111,7 +111,7 @@ class Input :
 
         if 'columns' in _args :
             self._columns = _args['columns']
-        else:
+        # else:
         #
         # We will look into the count and make a judgment call
         _df = pd.DataFrame(self.df.apply(lambda col: col.dropna().unique().size )).T