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)
      """
      if len(predict.shape) == 1:
          pos_predict = predict
      else:
          assert (
              predict.shape[1] == 2
          ), "Cannot use auc on given data with %d classes!" % (
              predict.shape[1]
          )
          pos_predict = predict[:, 1]
      return roc_auc_score(label, pos_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 Auc obj's underlying member method code with example usage: obj.evaluate(predict, label) and returns: roc_auc_score