code: def inverse_transform(self, X, **params):
          '''
          Transform data back to its original space, i.e., return an input
          X_original whose transform would (maybe approximately) be X.
  
          Parameters
          ----------
          X : :class:`Features` or list of bag feature arrays
              Data to train on and transform.
  
          any other keyword argument :
              Passed on as keyword arguments to the transformer's 
              ``inverse_transform()``.
  
          Returns
          -------
          X_original : :class:`Features`
          '''
          X = as_features(X, stack=True)
          Xo = self.transformer.inverse_transform(X.stacked_features, **params)
          return self._gather_outputs(X, Xof inverse_transform(self, X, **params):
          '''
          Transform data back to its original space, i.e., return an input
          X_original whose transform would (maybe approximately) be X.
  
          Parameters
          ----------
          X : :class:`Features` or list of bag feature arrays
              Data to train on and transform.
  
          any other keyword argument :
              Passed on as keyword arguments to the transformer's 
              ``inverse_transform()``.
  
          Returns
          -------
          X_original : :class:`Features`
          '''
          X = as_features(X, stack=True)
          Xo = self.transformer.inverse_transform(X.stacked_features, **params)
          return self._gather_outputs(X, Xo)
docs: Transform data back to its original space, i.e., return an input
          X_original whose transform would (maybe approximately) be X.
  
          Parameters
          ----------
          X : :class:`Features` or list of bag feature arrays
              Data to train on and transform.
  
          any other keyword argument :
              Passed on as keyword arguments to the transformer's 
              ``inverse_transform()``.
  
          Returns
          -------
          X_original : :class:`Features`