> > I have SpamAssassin running as filter on my Evolution,
> > but now i want to use sa-learn automatically.
> > Any suggestion on how i can operate on Evo?
> > AT the moment i have a subfolder SPAM that i examine befor delete ol
> > spam mail, but i would automatically use sa-learn whenever i have spam.
> > What about creating a filter rule that execute
> > spamassassin -e
> > sa-learn
> > in sequence?
Using spamc/spamd combination rather than spamassassin will dramatically
decrease scanning time. Also, when training Bayes filters this way, you
probably want the --no-rebuild option and periodically rebuild the
Bayesian database.
> I don't really see how you can automate the sa-learn process. You have
> to specifically tell it whether what it is looking at is spam or
> non-spam (ham). Training sa-learn on messages that spamassassin has
> already correctly identified as spam is a waste of time.
Depends -- identified SPAM which is below the autolearn threshold should
be learned manually to optimize results. Already learned messages are
recognized, thus learning again does not do any harm.
> In order to use sa-learn you first have to train it on a whole bunch of
> non-spam. Pick some of you biggest folders (which contain no spam) and
> run sa-learn on them like this:
>
> sa-learn --ham --mbox ~/evolution/local/path/to/folder/mbox
Yep, learning HAM as well is important.
...guenther
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