bug fix: no value data-type np.nan_to_num

data/gan.py

@@ -536,7 +536,7 @@ class Predict(GNet):
                 self.values     = args['values']
                 self.ROW_COUNT  = args['row_count']
                 self.oROW_COUNT = self.ROW_COUNT
-                self.MISSING_VALUES = np.nan
+                self.MISSING_VALUES = np.nan_to_num(np.nan)
                 if 'no_value' in args and args['no_value'] not in ['na','','NA'] :
                         self.MISSING_VALUES = args['no_value']