docstr: Export under the names *args (first one is considered canonical).
  
  Args:
    *args: API names in dot delimited format.
    **kwargs: Optional keyed arguments.
      api_name: Name of the API you want to generate (e.g. `tensorflow` or
        `estimator`). Default is `keras`.
docstr_tok: ["Export","under","the","names","*","args","(","first","one","is","considered","canonical",")",".","Args",":","*","args",":","API","names","in","dot","delimited","format",".","*","*","kwargs",":","Optional","keyed","arguments",".","api_name",":","Name","of","the","API","you","want","to","generate","(","e.g",".","`","tensorflow","`","or","`","estimator","`",")",".","Default","is","`","keras","`","."]
code: def __init__(self, *args, **kwargs):  # pylint: disable=g-doc-args
      """Export under the names *args (first one is considered canonical).
  
      Args:
        *args: API names in dot delimited format.
        **kwargs: Optional keyed arguments.
          api_name: Name of the API you want to generate (e.g. `tensorflow` or
            `estimator`). Default is `keras`.
      """
      self._names = args
      self._api_name = kwargs.get("api_name", Keras_API_NAME)
  
imports: import functools
  import sys
label_desc: Use image node_id 1 to create a new api_export object from inherited base classes: object with example: obj = api_export()