code: def get_metric(self, reset=False):
      metrics = (
          lambda e: e.get_precision(),
          lambda e: e.get_recall(),
          lambda e: e.get_f1(),
      )
      precision, recall, f1_score = tuple(
          sum(metric(e) for e in self.scorers) / len(self.scorers)
          for metric in metrics
      )
      if reset:
          self.reset()
      return precision, recall, f1_score
  
imports: from __future__ import division
  from __future__ import absolute_import
  from collections import Counter
  from sklearn.utils.linear_assignment_ import linear_assignment
  import numpy
  import torch
  from allennlp.training.metrics.metric import Metric
label_desc: Use image node_id 3 for calling the ConllCorefScores obj's underlying member method code with example usage: obj.get_metric(reset) and returns: precision,  recall,  f1_score