On 21.09.21 13:11, Matt Corallo wrote:
I recently noticed my bayes was rarely matching any spam, and it turns
out this was due to autolearn=ham'ing occurring on lots of list
traffic that I only occasionally read, some of which was blatant spam.
Sadly, list traffic can be pretty hard to categorize and ends up
getting through due to good sending IP and domain reputation.
While correcting the filter through sa-learn solves this issue
temporarily, I don't want to have to always read lists that I
previously only occasionally read just to re-classify spam. Thus, I'd
like to disable autolearn entirely for mails that match a given rule
(eg MAILING_LIST_MULTI).
unfortunately there are no common rules designed to autolearn ham (wonder
why? :-), thus ham autolearning depends on a few negative scores, of which
most are DNS allowlists.
I use to mark them all as noautolearn because many business notifications
too close to spam hot autolearned.
"tflags MAILING_LIST_MULTI noautolearn" doesn't seem like quite what I
want, it just reduces the score used to decide whether to learn.
"tflags MAILING_LIST_MULTI noautolearn" means that score of
"MAILING_LIST_MULTI" won't be used tor autolearn decision.
It does not mean that mail hitting MAILING_LIST_MULTI won't be used for
autolearn.
There's some old bugzilla mentions asking for this feature, but it
seems the response was "write a plugin". Is there a plugin available
for this or how would one go about writing one?
--
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