Bayes training?

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taurix

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Apr 9, 2018
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Hi all

I notice that bayes is not working well for me, mostly dutch language mails and real SPAM almost always gets a score of -1.9 (BAYES). Disabling it actually improves spam blocking...

Is there a way to train the filter or do I just use the default sa-learn on the CLI?
 
taurix said:
Hi all

I notice that bayes is not working well for me, mostly dutch language mails and real SPAM almost always gets a score of -1.9 (BAYES). Disabling it actually improves spam blocking...

Is there a way to train the filter or do I just use the default sa-learn on the CLI?
Click to expand...

How did you got this scores? From bayes autolearn? You should get your users copy (not forward!) mails with spam to a spam folder/mailbox as well as ham mails, which got recognized as spam. Then use sa-learn to learn such messages. If you're on a linux based system and familiar with coding, I still look for someone, who could use Dovecot Sieve (there are tutorials therefor) to invoke a script, in this case invoke a remote sa-learn on the PMG system. That's why I'm asking, if it wouldn't be an idea to combine PMG with e.g. Kolab or sth. similar, which would make PMG a full mail solution. It would then be easier to adopt a direct spam and ham learning just by user actions.
 
Hi @heutger,

Maybe a stupid ideea ... ;)

On the PMG you can create some kind of remote share who is mounted on your server where the users imbox's are. Then you can use this remote share for ham/spam global for all of your users. On the PMG you can use incrond daemon to watch any new created files/mails(new spam or ham) and on this event you can run any bash script like:
- run sa-learn spam/ham
- remove the mails who was learned

I do not think that you need a lot of I/O operations in your case at least ;) , so the share will not be need to be so fast!

Good luck!
 
guletz said:
Hi @heutger,

Maybe a stupid ideea ... ;)

On the PMG you can create some kind of remote share who is mounted on your server where the users imbox's are. Then you can use this remote share for ham/spam global for all of your users. On the PMG you can use incrond daemon to watch any new created files/mails(new spam or ham) and on this event you can run any bash script like:
- run sa-learn spam/ham
- remove the mails who was learned

I do not think that you need a lot of I/O operations in your case at least ;) , so the share will not be need to be so fast!

Good luck!
Click to expand...

Maybe an idea as well, however, not really nice.
 
Does anybody have a service setup to collect ham and spam from a mailcluster, build new bayes and distribute them on PMGs?

Backend:
- Dovecot
- Postfix
- Dovecot Director
- Dovecot LMTP
- Other Cluster stuff
 
I import the Mails via Rsync over SSH an put them through SA-Lern.

Code: 
#!/bin/bash

rsync -av -e "ssh -p 8899" root@first.server.com:/var/qmail/mailnames/*/*/Maildir/.Spam/cur/ /var/spam/
rsync -av -e "ssh -p 8899" root@second.server.com:/var/qmail/mailnames/*/*/Maildir/.Spam/cur/ /var/spam/
rsync -av -e "ssh -p 8899" root@third.server.com:/var/qmail/mailnames/*/*/Maildir/.Spam/cur/ /var/spam/



sa-learn --dbpath /var/lib/amavis/.spamassassin --progress --spam /var/spam/
rm -rf /var/spam/*



Code: 
#!/bin/bash

rsync -av -e "ssh -p 8899" root@first.server.com:/var/qmail/mailnames/*/*/Maildir/cur/ /var/ham/
rsync -av -e "ssh -p 8899" root@second.server.com:/var/qmail/mailnames/*/*/Maildir/cur/ /var/ham/
rsync -av -e "ssh -p 8899" root@third.server.com:/var/qmail/mailnames/*/*/Maildir/cur/ /var/ham/



sa-learn --dbpath /var/lib/amavis/.spamassassin --progress --ham /var/ham/
rm -rf /var/ham/*


This is for a Plesk Mail Server.
 
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