On Wed, 25 Jul 2018 19:49:04 +0200
Daniele Duca wrote:
In my current SA setup I use bayes_auto_learn along with some custom
poison pills (autolearn_force on some rules) , and I'm currently
wondering if over training SA's bayes could lead to the same
"prejudice" problem as CRM114.
I'm thinking that maybe it would be better to use
"bayes_auto_learn_on_error 1"
On 26.07.18 15:48, RW wrote:
On a busy server using auto-learning it's probably a good idea to set
this just to increase the token retention, and reduce writes into the
database.
well, I have a bit different experience. There are spams hitting negative
scoring rules e.g. MAILING_LIST_MULTI, RCVD_IN_RP_*, RCVD_IN_IADB_* and
they are constantly trained as ham.
I would like to prevent re-training when bayes disagrees with score soming
from other rules.
I quite wonder why "learn" tflag causes score being ignored.
Only the "noautolearn" flag should be used for this so at least BAYES_99 and
BAYES_00 could be takein into account when learning.
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