class_docstr: Handles a ListMetricEvals request.
class_docstr_tok: ["Handles","a","ListMetricEvals","request","."]
docstr: Executes the request.
  
  Returns:
      An array of tuples representing the metric evaluations--each of the
      form (<wall time in secs>, <training step>, <metric value>).
docstr_tok: ["Executes","the","request",".","Returns",":","An","array","of","tuples","representing","the","metric","evaluations","--","each","of","the","form","(","<","wall","time","in","secs",">",",","<","training","step",">",",","<","metric","value",">",")","."]
code: def run(self):
      """Executes the request.
  
      Returns:
          An array of tuples representing the metric evaluations--each of the
          form (<wall time in secs>, <training step>, <metric value>).
      """
      run, tag = metrics.run_tag_from_session_and_metric(
          self._request.session_name, self._request.metric_name
      )
      body, _ = self._scalars_plugin_instance.scalars_impl(
          self._request_context,
          tag,
          run,
          self._experiment,
          scalars_plugin.OutputFormat.JSON,
      )
      return body
  
imports: from tensorboard.plugins.hparams import metrics
  from tensorboard.plugins.scalar import scalars_plugin
label_desc: Use image node_id 2 for calling the Handler obj's underlying member method code with example usage: obj.run() and returns: body