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# Please don't modify this file as your changes might be overwritten with
# the next update.
#
# You can modify '$LOCAL_CONFDIR/rspamd.conf.local.override' to redefine
# parameters defined on the top level
#
# You can modify '$LOCAL_CONFDIR/rspamd.conf.local' to add
# parameters defined on the top level
#
# For specific modules or configuration you can also modify
# '$LOCAL_CONFDIR/local.d/file.conf' - to add your options or rewrite defaults
# '$LOCAL_CONFDIR/override.d/file.conf' - to override the defaults
#
# See https://rspamd.com/doc/tutorials/writing_rules.html for details
# Rspamd statistic setup
# Pre-build files could be loaded from:
# http://rspamd.com/rspamd_statistics/bayes.spam.sqlite
# - and -
# http://rspamd.com/rspamd_statistics/bayes.ham.sqlite
classifier "bayes" {
tokenizer {
name = "osb";
}
cache {
path = "${DBDIR}/learn_cache.sqlite";
}
min_tokens = 11;
backend = "sqlite3";
languages_enabled = true;
min_learns = 200;
statfile {
symbol = "BAYES_HAM";
path = "${DBDIR}/bayes.ham.sqlite";
spam = false;
}
statfile {
symbol = "BAYES_SPAM";
path = "${DBDIR}/bayes.spam.sqlite";
spam = true;
}
learn_condition =<<EOD
return function(task, is_spam, is_unlearn)
local prob = task:get_mempool():get_variable('bayes_prob', 'double')
if prob then
local in_class = false
local cl
if is_spam then
cl = 'spam'
in_class = prob >= 0.95
else
cl = 'ham'
in_class = prob <= 0.05
end
if is_unlearn and (not in_class) then
return false,string.format('not in class %s; probability %.2f%%%%',
cl, math.abs((prob - 0.5) * 200.0))
elseif (not is_unlearn) and in_class then
return false,string.format('already in class %s; probability %.2f%%%%',
cl, math.abs((prob - 0.5) * 200.0))
end
end
return true
end
EOD
}
.include(try=true; priority=1) "$LOCAL_CONFDIR/local.d/statistic.conf"
.include(try=true; priority=10) "$LOCAL_CONFDIR/override.d/statistic.conf"
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