parameters: (self)
docstring: Returns a `tf.Example` parsing spec as dict.
  
      It is used for get_parsing_spec for `tf.parse_example`. Returned spec is a
      dict from keys ('string') to `VarLenFeature`, `FixedLenFeature`, and other
      supported objects. Please check documentation of ${tf.parse_example} for all
      supported spec objects.
  
      Let's say a Feature column depends on raw feature ('raw') and another
      `_FeatureColumn` (input_fc). One possible implementation of
      _parse_example_spec is as follows:
  
      ```python
      spec = {'raw': tf.FixedLenFeature(...)}
      spec.update(input_fc._parse_example_spec)
      return spec
      ```
docstring_summary: Returns a `tf.Example` parsing spec as dict.
docstring_tokens: Returns a tf . Example parsing spec as dict .
function: def _parse_example_spec(self):
      """Returns a `tf.Example` parsing spec as dict.
  
      It is used for get_parsing_spec for `tf.parse_example`. Returned spec is a
      dict from keys ('string') to `VarLenFeature`, `FixedLenFeature`, and other
      supported objects. Please check documentation of ${tf.parse_example} for all
      supported spec objects.
  
      Let's say a Feature column depends on raw feature ('raw') and another
      `_FeatureColumn` (input_fc). One possible implementation of
      _parse_example_spec is as follows:
  
      ```python
      spec = {'raw': tf.FixedLenFeature(...)}
      spec.update(input_fc._parse_example_spec)
      return spec
      ```
      """
      pass
function_tokens: def _parse_example_spec ( self ) : pass