docs: def instance_from_unit_vector(self, unit_vector):
          """
          Creates a ModelInstance, which has an attribute and class instance corresponding to every PriorModel \
          attributed to this instance.
  
          This method takes as input a unit vector of parameter values, converting each to physical values via their \
          priors.
  
          Parameters
          ----------
          unit_vector: [float]
              A vector of physical parameter values.
  
          Returns
          -------
          model_instance : autofit.mapper.model.ModelInstance
              An object containing reconstructed model_mapper instances
  
          """
          arguments = dict(
              map(lambda prior_tuple, unit: (prior_tuple.prior, prior_tuple.prior.value_for(unit)),
                  self.prior_tuples_ordered_by_id, unit_vector))
  
          return self.instance_for_arguments(arguments)