micah anderson skrev den 2020-12-08 21:54:
Kris Deugau <kdeu...@vianet.ca> writes:
There will only be one database and set of tables, but one of the
fields
in each table is the user identifier. Fair warning - if you go full
per-user on a large system, this will MASSIVELY balloon the size of
your
Bayes database, and most users will idle below the learning thresholds
for quite a long time.
Can you give an idea of the size calculation? I'm wanting to do this,
but I need to figure out how much space I need to allocate per user!
Thanks for the clarifications, this is super helpful.
i use fuglu, where pr user bayes is simple, and now that fuglu have
solved the problem in that recipients envelope address is now
caseInsEnsive used in bayes userdatabase it just works with fuglu
but there is more on my wish list, i have not yet pr user retrain mails
classifed incorrect, currently only autolearn is working
with global bayes one should keep the database as big as possible, and
well trained for all users, if its manuel trained it would be best, its
just lots of time users need to do this for very little
fuglu do use spamd, and if i recall it also spamc, i have verifyed it is
running pr user now
lets see if mimedefang can do it better
in amavisd you can make sasl usermaps to use bayes user maps, i know it
exists, but have never succesfully got that to work
