dict to dataframe

src/utils/eval_metrics.py

@@ -54,10 +54,8 @@ class metrics:
             elif method == 'classification':
                 perf[index[i]] = metrics.class_(phase[i][0], phase[i][1])
         
-        if len(notnone) == 1:
-            self.ret = perf.T
-        else:
-            self.ret = DataFrame(perf).T
+
+        self.ret = DataFrame(perf).T
              
     @staticmethod
     def reg_(meas, pred):