code: def simple_dnn_classifier(
      export_path, eval_export_path, n_classes=2, label_vocabulary=None
  ):
      """Trains and exports a simple DNN classifier."""
  
      estimator_metadata = get_simple_dnn_classifier_and_metadata(
          n_classes=n_classes, label_vocabulary=label_vocabulary
      )
      estimator_metadata["estimator"].train(
          input_fn=estimator_metadata["train_input_fn"], steps=1000
      )
  
      return util.export_model_and_eval_model(
          estimator=estimator_metadata["estimator"],
          serving_input_receiver_fn=estimator_metadata[
              "serving_input_receiver_fn"
          ],
          eval_input_receiver_fn=estimator_metadata[
              "eval_input_receiver_fn"
          ],
          export_path=export_path,
          eval_export_path=eval_export_path,
      )
  
imports: import tensorflow
  from tensorflow import estimator
  from tensorflow_model_analysis.eval_saved_model import export
  from tensorflow_model_analysis.eval_saved_model.example_trainers import util
label_desc: Use image node_id 3 for calling a global function with example usage: simple_dnn_classifier(export_path, eval_export_path, n_classes, label_vocabulary) and returns: util