class_docstr: base class for classfication 
code: def export_model(self):
      saver_conf = self.config["solver"]["saver"]
      nn = self.create_estimator()  # pylint: disable=invalid-name
      nn.export_saved_model(
          export_dir_base=os.path.join(
              saver_conf["model_path"], "export"
          ),
          serving_input_receiver_fn=self.create_serving_input_receiver_fn(),
          assets_extra=None,
          as_text=False,
          checkpoint_path=None,
      )
  
imports: import os
  import re
  import functools
  import collections
  from absl import logging
  import delta.compat
  from tensorflow.python import debug
  from tensorflow.python.estimator.canned import metric_keys
  from tensorboard.plugins.pr_curve import summary
  from delta import utils
  from delta.utils.hparam import HParams
  from delta.utils import metrics
  from delta.utils import summary
  from delta.utils.register import registers
  from delta.utils.solver.base_solver import ABCEstimatorSolver
label_desc: Use image node_id 19 for calling the EstimatorSolver obj's underlying member method code with example usage: obj.export_model() without return types