Obtaining the parameters for the topological descriptors was achieved via linear regression. The training sets consisted of 20 randomly created structures in the case of fixed composition 100 randomly created structures with evenly spaced concentrations for the convex hull optimization. In all cases we obtain the feature vectors for the non-relaxed structures and fit to the energies of the relaxed structures. We highlight here that this approach can describe the energy of AuPt particles with mean absolute errors < 3 meV/atom. .