SPAM and bayers filtering

[Thomas Arendsen Hein]

* Jeffrey Walls <jwalls at browntransmission.com> [20090903 16:04]:
> I have installed 2.2.2 several months ago, and I can't get the nspam reading
> to move above 34.
>  
> kolab-r at kolab$ sa-learn --dump magic
> 0.000          0          3          0  non-token data: bayes db version
> 0.000          0         34          0  non-token data: nspam
> 0.000          0          0          0  non-token data: nham
> 
> I still don't see a difference, and I get no errors. Here is the output to
> spamandclam.sh this morning:
>  
> ## SPAMASSASSIN ##
>  
> I ran the following command:
> /kolab/bin/sa-learn --spam
> /kolab/var/imapd/spool/domain/b/browntransmission.com/j/user/jwalls/spam
> --dbpath /kolab/var/amavisd/.spamassassin
> And it told me this:
> Learned tokens from 40 message(s) (84 message(s) examined)

You could add this line to local.cf.template and run kolabconf so
all calls to sa-learn use the same database:

bayes_path /kolab/var/amavisd/.spamassassin/bayes

Regards,
Thomas Arendsen Hein

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