code: def evaluate_logloss(pred, label):
      res = log_loss(
          y_true=label, y_pred=pred, eps=1e-7, normalize=True
      )
      return res
  
imports: import numpy
  import torch
  from sklearn.metrics import accuracy_score, average_precision_score, f1_score, log_loss, ndcg_score, roc_auc_score
label_desc: Use image node_id 4 for calling a global function with example usage: evaluate_logloss(pred, label) and returns: res