class_docstr: # Arguments
      name: String. The name of the HyperModel. If unspecified, it will be set
          automatically with the class name.
docstr: Get the configuration of the preprocessor.
  
  # Returns
      A dictionary of configurations of the preprocessor.
code: def get_config(self):
      """Get the configuration of the preprocessor.
  
      # Returns
          A dictionary of configurations of the preprocessor.
      """
      return {"name": self.name, "tunable": self.tunable}
  
file_path: autokeras/autokeras/engine/named_hypermodel.py
imports: import keras_tuner
  from tensorflow import keras
  from autokeras.engine import serializable
  from autokeras.utils import utils
label_desc: Use image node_id 2 for calling the NamedHyperModel obj's underlying member method code with example usage: obj.get_config() and returns: dict