code: def evaluate(predict, label) -> float:
      return f1_score(
          label, np.argmax(predict, axis=1), average="micro"
      )
  
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 MicroF1 obj's underlying member method code with example usage: obj.evaluate(predict, label) and returns: f1_score