Drop the node part of the address i.e. if I wanted 10.1.1.0/24 use 10.1.1/24
Peter Russell-4 wrote:
>
> Hello, i notice after a lint test the following errors
> [2832] warn: netset: illegal network address given: 'xx.1.0.0/16,'
> [2832] warn: netset: illegal network address given: 'xx.2.0.0/16
I just recently added rules_du_jour script and I am trying to get it to work.
A preliminary lint gives these lines:
[25132] dbg: plugin: fixed relative path:
/var/lib/spamassassin/3.001008/updates_spamassassin_org/80_additional.cf
[25132] dbg: config: using
"/var/lib/spamassassin/3.001008/update
Thanks for the reply, but I think that you are referring to autolearn_points.
As computed in PerMsgStatus.pm and is used in AutoLearningThreshold.pm. They
are computed in the same function but they are not the same. Notice that in
the get_autolearn_points autolearn_points is $score where learned
"auto-learn? no: scored as spam but learner indicated ham"
is given if if ($learned_points < $learner_said_ham_points)where
$learner_said_ham_points = -1.0
what exactly is learned_points
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Thanks I think this is what I am looking for, have not had a chance to try it
though.
ram01 wrote:
>
> yes the learning folders are stored on the server. The same server is
> running IMAP, MTA, and SA. The site does not have a high load of email,
> so processor load shouldn'
I understand the theory of not wanting to incorrectly learn messages. But my
question is about that statements practicality in every situation. It makes
sense with a diverse user base, say an ISP, but what about a small company
with few users that are all competent to bot train and that will keep
yes the learning folders are stored on the server. The same server is
running IMAP, MTA, and SA. The site does not have a high load of email, so
processor load shouldn't be a big issue, not to say that I don't care about
efficiency.
John D. Hardin wrote:
>
> On Thu, 1
OK so if I have a global database but separate IMAP spame boxes how should i
go about actually running sa-learn. from the cron point of view I would
have to enum all the users and do /home/user/isSpam, /home/userb/isSpam,
etc.I could also run it in procmail, this would run more often but on
s
What is the best way to run sa-learn with separate IMAP training folders per
user, but global bayes database.
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