parameters: (self)
return_statement: return self._inferred_steps
docstring: The inferred steps per epoch of the created `Dataset`.
  
      This will be `None` in the case where:
  
      (1) A `Dataset` of unknown cardinality was passed to the `DataHandler`, and
      (2) `steps_per_epoch` was not provided, and
      (3) The first epoch of iteration has not yet completed.
  
      Returns:
        The inferred steps per epoch of the created `Dataset`.
docstring_summary: The inferred steps per epoch of the created `Dataset`.
docstring_tokens: The inferred steps per epoch of the created Dataset .
function: def inferred_steps(self):
      """The inferred steps per epoch of the created `Dataset`.
  
      This will be `None` in the case where:
  
      (1) A `Dataset` of unknown cardinality was passed to the `DataHandler`, and
      (2) `steps_per_epoch` was not provided, and
      (3) The first epoch of iteration has not yet completed.
  
      Returns:
        The inferred steps per epoch of the created `Dataset`.
      """
      return self._inferred_steps
function_tokens: def inferred_steps ( self ) : return self . _inferred_steps