On Wed, 20 Feb 2008, pichels wrote:
But, I've tried learning any email after I recieved the Perl error
message and none are being learned?
And why is the spam being scored wioth spamassassin?
I don't understand? Could my Bayes DB need to be re-synced or forced to
expire some dups or ?
Note that bayes needs at least 200 spams and 200 hams before is starts
scoring. Have you learned that many yet?
If you have kept your training corpus, you could delete the bayes database
files entirely and start training over from scratch.
My users are getting the "nice girl emails and they are not scoring as I've
shown in my post - why?
They score with spamassassin debug but are not being stopped by SA in my
maillogs?
That smells like a user ID problem. If the user ID that spamassassin/spamd
is running under is different than the user ID you are running sa-learn
under, the bayes databases are different - you're training a database that
SA isn't looking at. Verify that you are training using the same user as
the user spamassassin/spamd is running as to filter mail.
Can I provide more details?
What does "sa-learn --dump magic" report?
How are you filtering messages? spamc+spamd?
What user is spamd running as? What user are you running sa-learn as?
What (if anything) does "ps axu | grep spamd" report?
--
John Hardin KA7OHZ http://www.impsec.org/~jhardin/
[EMAIL PROTECTED] FALaholic #11174 pgpk -a [EMAIL PROTECTED]
key: 0xB8732E79 -- 2D8C 34F4 6411 F507 136C AF76 D822 E6E6 B873 2E79
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[Small arms] are fundamentally dangerous and their removal from the
equation either by control, neutralisation or removal is essential.
The first step is to gain information on their numbers and
whereabouts. -- the UN, who "doesn't want to confiscate guns"
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