fixes problem of skipping last preds and labels

Author: jcapp4

chebai/result/utils.py

@@ -116,6 +116,7 @@ def evaluate_model(
         data_list = data_df.to_dict(orient="records")
     else:
         data_list = data_module.load_processed_data("test", filename)
+    torch.save(data_list,"./data_list.pt")
     data_list = data_list[: data_module.data_limit]
     preds_list = []
     labels_list = []
@@ -159,7 +160,7 @@ def evaluate_model(
             test_labels = _concat_tuple(labels_list)
             return test_preds, test_labels
         return test_preds, None
-    elif len(preds_list) < 0:
+    elif len(preds_list) > 0:
         if len(preds_list) > 0 and preds_list[0] is not None:
             torch.save(
                 _concat_tuple(preds_list),