third-party/rspamd/sample-configuration/statistic.conf

classifier "bayes" {
  tokenizer {
    name = "osb";
  }
  cache {
  }
  new_schema = true; # Always use new schema
  store_tokens = false; # Redefine if storing of tokens is desired
  signatures = false; # Store learn signatures
  per_user = true; # Enable per user classifier
  users_enabled = true;
  min_tokens = 11;
  backend = "redis";
  min_learns = 50; // Should not be bias by too small learning set

  statfile {
    symbol = "BAYES_HAM";
    spam = false;
  }
  statfile {
    symbol = "BAYES_SPAM";
    spam = true;
  }

  learn_condition = 'return require("lua_bayes_learn").can_learn';

  # Autolearn sample
  # 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
  #}

  .include(try=true; priority=1) "$LOCAL_CONFDIR/local.d/classifier-bayes.conf"
  .include(try=true; priority=10) "$LOCAL_CONFDIR/override.d/classifier-bayes.conf"
}