example2.risk

dbacl是一个通用目的的digramic贝叶斯文本分类器。它可以学习你提供的文本

# Same as example1.risk but with a small increase in two/three,
# and an regular expression dependent loss matrix
categories {
    one, two, three
}
prior {
    2, 1, 1
}
loss_matrix { 
"^proportion: ([0-9.]+)" one [ 0, (1+$1)^complexity, (1.2)^complexity ]
"" 		one   [ 0,               (1.1)^complexity,  (1.1)^complexity ]
"" 		two   [(1.1)^complexity, 0,                 (2.0)^complexity ] 
"" 		three [(1.5)^complexity, (1.01)^complexity, 0 ]
}