class_docstr: Evaluates candidate ensemble performance.
docstr: Returns the name of the metric being optimized.
docstr_tok: ["Returns","the","name","of","the","metric","being","optimized","."]
code: def metric_name(self):
      """Returns the name of the metric being optimized."""
      return self._metric_name
  
file_path: adanet/adanet/core/evaluator.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import math
  from absl import logging
  from adanet import tf_compat
  import numpy
  import tensorflow.compat.v2
label_desc: Use image node_id 4 for calling the Evaluator obj's underlying member method code with example usage: obj.metric_name() and returns: self