docstr: Should return: the evaluation result (float)
docstr_tok: ["Should","return",":","the","evaluation","result","(","float",")"]
code: def evaluate(predict, label):
      """
      Should return: the evaluation result (float)
      """
      return log_loss(label, predict)
  
imports: import numpy
  import typing
  from sklearn.metrics import f1_score, log_loss, accuracy_score, roc_auc_score, label_ranking_average_precision_score
label_desc: Use image node_id 3 for calling the Logloss obj's underlying member method code with example usage: obj.evaluate(predict, label) and returns: log_loss