got error when calculate roc_auc_scores

[Liane-Wang]

Hi, it's excellent work. But I always got this error even though I tried a lot of ways. "Input contains NaN, infinity or a value too large for dtype('float32')."

~\PycharmProjects\GNUD\model.py in eval(self, sess, feed_dict)
    399         scores[np.isnan(scores)] = scores.mean()
    400         scores[np.isfinite(scores)] = scores.mean()
--> 401         auc = roc_auc_score(y_true=labels, y_score=scores)
    402         f1 = f1_score(labels, predict)
    403 

~\anaconda3\envs\tensorflow\lib\site-packages\sklearn\metrics\_ranking.py in roc_auc_score(y_true, y_score, average, sample_weight, max_fpr, multi_class, labels)
    544     y_type = type_of_target(y_true)
    545     y_true = check_array(y_true, ensure_2d=False, dtype=None)
--> 546     y_score = check_array(y_score, ensure_2d=False)

~\anaconda3\envs\tensorflow\lib\site-packages\sklearn\utils\validation.py in _assert_all_finite(X, allow_nan, msg_dtype)
    112         ):
    113             type_err = "infinity" if allow_nan else "NaN, infinity"
--> 114             raise ValueError(
    115                 msg_err.format(
    116                     type_err, msg_dtype if msg_dtype is not None else X.dtype

ValueError: Input contains NaN, infinity or a value too large for dtype('float32').