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Federico Nan wrote:
> thaks Robert! i have this problem, the company want
manage all the
> account with one, but they not want to view all the
mails, the
> unconfirmed spam arrives with -1 of score. its posible
to tell maia that
> if a mail arrives with 3 points puts in the gui but it
s arrives under 3
> dosent show it?
First, please understand that the non-spam cache is not a
quarantine--it
does not block mail, it simply retains a copy of the mail
for Bayes
training purposes. Non-spam mail is still delivered as
usual, even
though it also appears in the non-spam cache. This confuses
a lot of
people, since all of the other "caches" are
actually "quarantines" that
block mail. The non-spam cache does not block mail
delivery.
Managing the non-spam cache is just as easy as managing the
spam
cache--the scores are sorted in the reverse order, so that
the items
that are most likely to be spam (false negatives) should
appear near the
top of the first page. On the spam cache page the same
principle
applies, with the items that are most likely to be good mail
(false
positives) appearing near the top of the first page. In
practice it is
easy to make a habit of checking both the spam and non-spam
caches,
scanning the first page or two of each, and then pressing
the "confirm"
button to confirm that everything else has been correctly
diagnosed.
If you really, really, really don't want to bother with
managing the
non-spam cache, you can disable it globally on the
Admin->System
Configuration page by setting "Enable tracking of false
negatives?" to
"No". If you do that, though, be sure to turn on
SpamAssassin's
auto-learning feature and use it to do some conservative
Bayes training.
In your local.cf file, set lines like these:
bayes_auto_learn 1
bayes_auto_learn_threshold_nonspam -0.001
bayes_auto_learn_threshold_spam 10.0
This will tell SpamAssassin that anything with a score of
-0.001 or less
(basically any negative score) should be automatically
learned by the
Bayes database as non-spam, and that anything with a score
of 10.0 or
more should be automatically learned as spam. This
automated learning
mechanism is not perfect, but it's better than nothing.
Items that fall
between -0.001 and 10.0 will not be used for training unless
you
manually train them from the Maia GUI (by confirming them,
rescuing
false positives, or reporting false negatives).
- --
Robert LeBlanc <rjl renaissoft.com>
Renaissoft, Inc.
Maia Mailguard <http://www.maiamail
guard.com/>
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