class_docstr: Sample Runner class to generate visualizations.
class_docstr_tok: ["Sample","Runner","class","to","generate","visualizations","."]
code: def _run_one_iteration(self, iteration):
      statistics = iteration_statistics.IterationStatistics()
      logging.info("Starting iteration %d", iteration)
      _, _ = self._run_eval_phase(statistics)
      return statistics.data_lists
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  from absl import logging
  from dopamine.agents.dqn import dqn_agent
  from dopamine.agents.rainbow import rainbow_agent
  from dopamine.discrete_domains import atari_lib
  from dopamine.discrete_domains import iteration_statistics
  from dopamine.discrete_domains import run_experiment
  from dopamine.utils import agent_visualizer
  from dopamine.utils import atari_plotter
  from dopamine.utils import bar_plotter
  from dopamine.utils import line_plotter
  import gin
  import numpy
  import tensorflow
  import tf_slim
label_desc: Use image node_id 3 for calling the MyRunner obj's underlying member method code with example usage: obj._run_one_iteration(iteration) and returns: statistics