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