1# Same as example1.risk but with a small increase in two/three, 2# and an regular expression dependent loss matrix 3categories { 4 one, two, three 5} 6prior { 7 2, 1, 1 8} 9loss_matrix { 10"^proportion: ([0-9.]+)" one [ 0, (1+$1)^complexity, (1.2)^complexity ] 11"" one [ 0, (1.1)^complexity, (1.1)^complexity ] 12"Polly" two [inf, 0, inf ] 13"" two [(1.1)^complexity, 0, (2.0)^complexity ] 14"" three [(1.5)^complexity, (1.01)^complexity, 0 ] 15} 16 17