Creates a ModelInstance, which has an attribute and class instance corresponding to every PriorModel \
        attributed to this instance.

        This method takes as input a physical vector of parameter values, thus omitting the use of priors.

        Parameters
        ----------
        physical_vector: [float]
            A unit hypercube vector

        Returns
        -------
        model_instance : autofit.mapper.model.ModelInstance
            An object containing reconstructed model_mapper instances

def instance_from_physical_vector(self, physical_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 physical vector of parameter values, thus omitting the use of priors.

        Parameters
        ----------
        physical_vector: [float]
            A unit hypercube vector

        Returns
        -------
        model_instance : autofit.mapper.model.ModelInstance
            An object containing reconstructed model_mapper instances

        """
        arguments = dict(
            map(lambda prior_tuple, physical_unit: (prior_tuple.prior, physical_unit), self.prior_tuples_ordered_by_id,
                physical_vector))

        return self.instance_for_arguments(arguments)