class_docstr: Group a list of Metrics into a container.
class_docstr_tok: ["Group","a","list","of","Metrics","into","a","container","."]
code: def results(self):
      results = [
          (metric.name, metric.result()) for metric in self.metrics
      ]
      return collections.OrderedDict(results)
  
file_path: agents/tf_agents/eval/metric_utils.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  from absl import logging
  import gin
  import tensorflow
  from tf_agents.drivers import dynamic_episode_driver
  from tf_agents.drivers import py_driver
  from tf_agents.metrics import py_metric
  from tf_agents.utils import common
label_desc: Use image node_id 2 for calling the MetricsGroup obj's underlying member method code with example usage: obj.results() and returns: collections