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

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)