diff options
Diffstat (limited to 'src/plugins/lua/neural.lua')
| -rw-r--r-- | src/plugins/lua/neural.lua | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/src/plugins/lua/neural.lua b/src/plugins/lua/neural.lua index f3b26f11a..ea40fc4f7 100644 --- a/src/plugins/lua/neural.lua +++ b/src/plugins/lua/neural.lua @@ -687,31 +687,31 @@ local function maybe_train_existing_ann(worker, ev_base, rule, set, profiles) return l >= rule.train.max_trains * (1.0 - rule.train.classes_bias) end if max_len >= rule.train.max_trains and fun.all(len_bias_check_pred, lens) then - rspamd_logger.debugm(N, rspamd_config, + lua_util.debugm(N, rspamd_config, 'can start ANN %s learn as it has %s learn vectors; %s required, after checking %s vectors', ann_key, lens, rule.train.max_trains, what) cont_cb() else - rspamd_logger.debugm(N, rspamd_config, + lua_util.debugm(N, rspamd_config, 'cannot learn ANN %s now: there are not enough %s learn vectors (has %s vectors; %s required)', ann_key, what, lens, rule.train.max_trains) end else -- Probabilistic mode, just ensure that at least one vector is okay if min_len > 0 and max_len >= rule.train.max_trains then - rspamd_logger.debugm(N, rspamd_config, + lua_util.debugm(N, rspamd_config, 'can start ANN %s learn as it has %s learn vectors; %s required, after checking %s vectors', ann_key, lens, rule.train.max_trains, what) cont_cb() else - rspamd_logger.debugm(N, rspamd_config, + lua_util.debugm(N, rspamd_config, 'cannot learn ANN %s now: there are not enough %s learn vectors (has %s vectors; %s required)', ann_key, what, lens, rule.train.max_trains) end end else - rspamd_logger.debugm(N, rspamd_config, + lua_util.debugm(N, rspamd_config, 'checked %s vectors in ANN %s: %s vectors; %s required, need to check other class vectors', what, ann_key, ntrains, rule.train.max_trains) cont_cb() |