mailcow/data/conf/rspamd/local.d/statistic.conf

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classifier "bayes" {
tokenizer {
name = "osb";
}
backend = "redis";
name = "per_domain_bayes";
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min_tokens = 11;
min_learns = 20;
new_schema = true;
expiry = 50d;
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per_user = <<EOD
return function(task)
local rcpt = task:get_recipients(1)
if rcpt then
one_rcpt = rcpt[1]
if one_rcpt['domain'] then
return one_rcpt['domain']
end
end
return nil
end
EOD
statfile {
symbol = "BAYES_HAM";
spam = false;
}
statfile {
symbol = "BAYES_SPAM";
spam = true;
}
learn_condition =<<EOD
return function(task, is_spam, is_unlearn)
local prob = task:get_mempool():get_variable('bayes_prob', 'double')
if prob then
local in_class = false
local cl
if is_spam then
cl = 'spam'
in_class = prob >= 0.95
else
cl = 'ham'
in_class = prob <= 0.05
end
if in_class then
return false,string.format('already in class %s; probability %.2f%%',
cl, math.abs((prob - 0.5) * 200.0))
end
end
return true
end
EOD
}