Spamassassin, Bayesian Filtering

[Markus F. Kraemer]

Hi Bernhard,

after a little brake I gave Bayesian filtering another shot yesterday 
morning.

After deleting the /kolab/var/amavisd/.spamassassin folder I started 
over with sa-learn and voila it worked.
I have no idea what went wrong except that I was feeding sa-learn 
several huge mbox-style folders(>800mb) with spam mails over night. 
Could it be that I was feeding to much spam into sa-learn and the 
corresponding db´s??

Whatever, it is working now.

Shall I add a Step 7 for debuging in the "Fighting spam"-section?

Cheers,

Markus


----------------------------------

Am Mittwoch, 16. November 2005 15:23 schrieb Markus F. Kraemer:
 > I am playing around with Kolab 2.0.1 on a Suse 9.3 system since a while.

... assuming you mean the Kolab Server 2.0.1...

 > Everything is working like a charm except Spamassassin´s Bayesian
 > Filtering. I followed the instructions in the wiki
 > (http://wiki.kolab.org/index.php/Fighting_spam)

I cannot access the wiki right now, so I cannot check the instructions 
there.

 > and trained my DB with
 > ham and spam. But the bayesian filtering doesn´t seem to work.
 >
 > Is it supposed to work out of the box or do I have to make some changes
 > in the config files?
 >
 > Which user do I have to use for training?

   kolab-r
or root should work.

 > Even though I use the --dbpath <path> option for the "sa-learn" command
 > and the result value of sa-learn tells me that he successfully learned
 > from n messages the nspam value of a "sa-learn -D --dump magic" is not
 > changing.
 >
 > Can someone give me a hint where to continue debugging?? Let me know if
 > you need any additional information!

What is the output of
/kolab/bin/sa-learn --dbpath /kolab/var/amavisd/.spamassassin/bayes --dump
magic
?
What is the main error message of the same command with a "-D" at the end?

Bernhard
-- 

Mit freundlichen Gruessen

Markus Kraemer

Rechenzentrum Universität Mannheim
L15, 16
68161 Mannheim
eMail: markus.kraemer at rz.uni-mannheim.de
Phone: +49 (0) 621-181-3223
Fax: +49 (0) 621-181-3198
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