aports/config/rspamd/statistic.conf

29 lines
640 B
Plaintext

classifier "bayes" {
tokenizer {
name = "osb";
}
cache {}
new_schema = true;
store_tokens = false;
signatures = false;
min_tokens = 11;
backend = "redis";
min_learns = 200;
statfile {
symbol = "BAYES_HAM";
spam = false;
}
statfile {
symbol = "BAYES_SPAM";
spam = true;
}
learn_condition = 'return require("lua_bayes_learn").can_learn';
autolearn {
spam_threshold = 6.0; # When to learn spam (score >= threshold)
ham_threshold = -0.5; # When to learn ham (score <= threshold)
check_balance = true; # Check spam and ham balance
min_balance = 0.9; # Keep diff for spam/ham learns for at least this value
}
}