ValueError: Input contains NaN. roc_auc_score

[NaHCOOO]

--feature_removal_level no_removal Dataset used: P12 args.dataset, args.splittype, args.reverse, args.withmissingratio, args.feature_removal_level P12 random False False no_removal missing ratio list [0] Split id: 1 9590 1199 1199 9590 1199 1199

• • Run 1 - - Stop epochs: 20, Batches/epoch: 62, Total batches: 1240 Traceback (most recent call last): File "E:\code\GNN\Raindrop-main\code\Raindrop.py", line 343, in train_auroc = roc_auc_score(train_y, train_probs[:, 1]) File "E:\software\anaconda3\anaconda3_202309\envs\ptorch_py39\lib\site-packages\sklearn\utils_param_validation.py", line 214, in wrapper return func(*args, **kwargs) File "E:\software\anaconda3\anaconda3_202309\envs\ptorch_py39\lib\site-packages\sklearn\metrics_ranking.py", line 606, in roc_auc_score y_score = check_array(y_score, ensure_2d=False) File "E:\software\anaconda3\anaconda3_202309\envs\ptorch_py39\lib\site-packages\sklearn\utils\validation.py", line 957, in check_array _assert_all_finite( File "E:\software\anaconda3\anaconda3_202309\envs\ptorch_py39\lib\site-packages\sklearn\utils\validation.py", line 122, in _assert_all_finite _assert_all_finite_element_wise( File "E:\software\anaconda3\anaconda3_202309\envs\ptorch_py39\lib\site-packages\sklearn\utils\validation.py", line 171, in _assert_all_finite_element_wise raise ValueError(msg_err) ValueError: Input contains NaN.

Process finished with exit code 1