29 lines
640 B
Plaintext
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
|
||
|
|
}
|
||
|
|
}
|