(3) The local properties to be predicted from spectra are the coordination number (limited to 4, 5, or 6), the mean nearest-neighbor distance, and the Bader charge. (4) The models we train are random forests, where features are either the entire spectra projected onto a uniformly spaced 100-point energy grid, or the coefficients of overlapping polynomials fit to partitions of the spectra.