message: Do not export from eval on train data steps.
diff: @@ -410,7 +410,8 @@ class Experiment(object):
  delay_secs,
  throttle_delay_secs,
  evaluate_checkpoint_only_once=True,
  - continuous_eval_predicate_fn=None):
  + continuous_eval_predicate_fn=None,
  + export=True):
  """Run continuous eval.
  Runs infinite eval on the evaluation data set. This function starts
  @@ -436,6 +437,7 @@ class Experiment(object):
  handles that gracefully. When `predicate_fn` is not specified,
  continuous eval will run in an infinite loop (if `train_steps` is None)
  or exit once global step reaches `train_steps`.
  + export: Whether to export from this step. Default is 'True'.
  Raises:
  ValueError: if `continuous_eval_predicate_fn` is neither None nor
  @@ -495,6 +497,7 @@ class Experiment(object):
  if not eval_result:
  eval_result = {}
  + if export:
  self._maybe_export(eval_result, checkpoint_path=latest_path)
  # Clear warning timer and update last evaluated checkpoint
  @@ -541,7 +544,8 @@ class Experiment(object):
  name=name,
  delay_secs=delay_secs,
  throttle_delay_secs=throttle_delay_secs,
  - continuous_eval_predicate_fn=continuous_eval_predicate_fn)
  + continuous_eval_predicate_fn=continuous_eval_predicate_fn,
  + export=False)
  def train_and_evaluate(self):
  """Interleaves training and evaluation.
  