class_docstr: Evaluates candidate ensemble performance.
docstr: Return the number of evaluation steps.
docstr_tok: ["Return","the","number","of","evaluation","steps","."]
code: def steps(self):
      """Return the number of evaluation steps."""
      return self._steps
  
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 3 for calling the Evaluator obj's underlying member method code with example usage: obj.steps() and returns: self