def posterior_predictive_to_xarray(self):
        """Convert posterior_predictive samples to xarray."""
        data = self.posterior_predictive
        if not isinstance(data, dict):
            raise TypeError("DictConverter.posterior_predictive is not a dictionary")

        return dict_to_dataset(data, library=None, coords=self.coords, dims=self.dims)
def posterior_predictive_to_xarray ( self ) : data = self . posterior_predictive if not isinstance ( data , dict ) : raise TypeError ( "DictConverter.posterior_predictive is not a dictionary" ) return dict_to_dataset ( data , library = None , coords = self . coords , dims = self . dims )
Convert posterior_predictive samples to xarray.