inference restored

util/metric_reader.py

@@ -16,6 +16,8 @@ if __name__ == '__main__':
             continue
         out_file = (model_path / metric_file_name)
         for paramter_configuration in model_path.iterdir():
+            if not model_path.is_dir():
+                continue
             uar_scores = defaultdict(list)
             for metric_file in paramter_configuration.rglob(metric_file_name):
                 with metric_file.open('r') as f:
@@ -37,7 +39,7 @@ if __name__ == '__main__':
                                     metric_dict[header].append(value)
                 for score, func in zip(['mean', 'max', 'median', 'std'], [np.mean, np.max, np.median, np.std]):
                     try:
-                        uar_scores[score].append(func(np.asarray(metric_dict['uar_score'])).round(2))
+                        uar_scores[score].append(round(func(np.asarray(metric_dict['uar_score'])) * 100, 2))
                     except ValueError as e:
                         print(e)
                         pass