code: def infer_newX(self, Y_new, optimize=True):
          
          from ..inference.latent_function_inference.inferenceX import infer_newX
          return infer_newX(self, Y_new, optimize=optimize)
docs: Infer X for the new observed data *Y_new*.
  
          :param Y_new: the new observed data for inference
          :type Y_new: numpy.ndarray
          :param optimize: whether to optimize the location of new X (True by default)
          :type optimize: boolean
          :return: a tuple containing the posterior estimation of X and the model that optimize X
          :rtype: (:class:`~GPy.core.parameterization.variational.VariationalPosterior` and numpy.ndarray, :class:`~GPy.core.model.Model`)