docstr: # Returns
  
  The scalar average entropy.
code: def get_metric(self, reset: bool = False):
      """
      # Returns
  
      The scalar average entropy.
      """
      average_value = (
          self._entropy / self._count if self._count > 0 else 0
      )
      if reset:
          self.reset()
      return {"entropy": average_value}
  
file_path: allennlp/allennlp/training/metrics/entropy.py
imports: from typing import Optional
  import torch
  from allennlp.nn.util import dist_reduce_sum
  from allennlp.training.metrics.metric import Metric
label_desc: Use image node_id 3 for calling the Entropy obj's underlying member method code with example usage: obj.get_metric(reset) and returns: dict