class_docstr: This class exports the EvalSavedModel.
  
  This class provides a basic exporting functionality and serves as a
  foundation for specialized `Exporter`s.
class_docstr_tok: ["This","class","exports","the","EvalSavedModel",".","This","class","provides","a","basic","exporting","functionality","and","serves","as","a","foundation","for","specialized","`","Exporter","`","s","."]
code: def export(
      self,
      estimator: tf_estimator.Estimator,
      export_path: str,
      checkpoint_path: Optional[str],
      eval_result: Optional[bytes],
      is_the_final_export: bool,
  ) -> bytes:
      del is_the_final_export
  
      export_result = export.export_eval_savedmodel(
          estimator=estimator,
          export_dir_base=export_path,
          eval_input_receiver_fn=self._eval_input_receiver_fn,
          serving_input_receiver_fn=self._serving_input_receiver_fn,
          assets_extra=self._assets_extra,
          checkpoint_path=checkpoint_path,
      )
  
      return export_result
  
imports: from collections import abc
  import contextlib
  import os
  import types
  from typing import Callable, Dict, List, Optional, Union
  from tensorflow import estimator
  from tensorflow_model_analysis.eval_saved_model import export
  from tensorflow_model_analysis.utils import util
  from tensorflow.python.estimator import gc
  from tensorflow.python.framework import errors_impl
  from tensorflow.python.platform import gfile
  from tensorflow.python.platform import tf_logging
label_desc: Use image node_id 3 for calling the _EvalSavedModelExporter obj's underlying member method code with example usage: obj.export(estimator, export_path, checkpoint_path, eval_result, is_the_final_export) and returns: export_result