[Rework] Use a dedicated library for autolearn

1 files changed, 1 insertions, 28 deletions

diff --git a/conf/statistic.conf b/conf/statistic.conf
index 8d45e7608..bb76853ca 100644
--- a/conf/statistic.conf
+++ b/conf/statistic.conf
@@ -41,34 +41,7 @@ classifier "bayes" {
     symbol = "BAYES_SPAM";
     spam = true;
   }
-  learn_condition =<<EOD
-return function(task, is_spam, is_unlearn)
-  local learn_type = task:get_request_header('Learn-Type')
-
-  if not (learn_type and tostring(learn_type) == 'bulk') then
-    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
-  end
-
-  return true
-end
-EOD
+  learn_condition = "return require("lua_bayes_learn").autolearn"
 
   .include(try=true; priority=1) "$LOCAL_CONFDIR/local.d/classifier-bayes.conf"
   .include(try=true; priority=10) "$LOCAL_CONFDIR/override.d/classifier-bayes.conf"