blob: e228da850598d61d27f676f53b09b0c40e71cad2 (
plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
|
options = {
url_tld = "{= env.URL_TLD =}"
pidfile = "{= env.TMPDIR =}/rspamd.pid"
lua_path = "{= env.INSTALLROOT =}/share/rspamd/lib/?.lua"
filters = [];
explicit_modules = ["settings"];
}
logging = {
type = "file",
level = "debug"
filename = "{= env.TMPDIR =}/rspamd.log"
log_usec = true;
}
metric = {
name = "default",
actions = {
reject = 100500,
add_header = 50500,
}
unknown_weight = 1
}
worker {
type = normal
bind_socket = "{= env.LOCAL_ADDR =}:{= env.PORT_NORMAL =}"
count = 1
task_timeout = 10s;
}
worker {
type = controller
bind_socket = "{= env.LOCAL_ADDR =}:{= env.PORT_CONTROLLER =}"
count = 1
secure_ip = ["127.0.0.1", "::1"];
stats_path = "{= env.TMPDIR =}/stats.ucl"
}
modules {
path = "{= env.TESTDIR =}/../../src/plugins/lua/"
}
lua = "{= env.TESTDIR =}/lua/test_coverage.lua";
neural {
rules {
SHORT {
train {
learning_rate = 0.001;
max_usages = 2;
spam_score = 1;
ham_score = -1;
max_trains = 10;
max_iterations = 250;
store_pool_only = true;
}
symbol_spam = "NEURAL_SPAM_SHORT";
symbol_ham = "NEURAL_HAM_SHORT";
ann_expire = 86400;
watch_interval = 0.5;
}
SHORT_PCA {
train {
learning_rate = 0.001;
max_usages = 2;
spam_score = 1;
ham_score = -1;
max_trains = 10;
max_iterations = 250;
store_pool_only = true;
}
symbol_spam = "NEURAL_SPAM_SHORT_PCA";
symbol_ham = "NEURAL_HAM_SHORT_PCA";
ann_expire = 86400;
watch_interval = 0.5;
max_inputs = 2;
}
}
allow_local = true;
}
redis {
servers = "{= env.REDIS_ADDR =}:{= env.REDIS_PORT =}";
expand_keys = true;
}
lua = "{= env.TESTDIR =}/lua/neural.lua";
|
