class_docstr: Group a list of Metrics into a container.
class_docstr_tok: ["Group","a","list","of","Metrics","into","a","container","."]
code: def __init__(self, metrics, name=None):
      super(MetricsGroup, self).__init__(name=name)
      self.metrics = metrics
  
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 1 to create a new MetricsGroup object from inherited base classes: tf with example: obj = MetricsGroup(metrics, name)