[Mimedefang] MD + SA + bayes problem

Paul freebsd at pksnet.com
Mon Sep 29 20:15:01 EDT 2003


>> I use 'sa-learn -C /etc/mail/spamassassin/sa-mimedefang.cf --spam
>> --rebuild -D 5 --single spam'. 
>
>I don't think you can use --rebuild at the same time as training.  
>Also, "--single" is not recognized syntax for the version you're 
>running -- use "sa-learn --spam --file [filename]".

Hmmm, I noticed the --single problem as I just recently upgraded to 2.60 and tried the --file option.
Your tip above worked in so far that now at least I get a message at the end  telling me it learned from 1 message. Something I didn't get before. Guess I did not read the perldoc coirrectly as to me it appeared you could do a --rebuild and have it rebuild the database at the same time...



>What output do you get from "sa-learn --dump magic"?

before  '"sa-learn --spam --file spam"
dax# sa-learn --dump magic
0.000          0          2          0  non-token data: bayes db version
0.000          0          0          0  non-token data: nspam
0.000          0          0          0  non-token data: nham
0.000          0          0          0  non-token data: ntokens
0.000          0 1064611203          0  non-token data: oldest atime
0.000          0 1064611203          0  non-token data: newest atime
0.000          0 1064611203          0  non-token data: last journal sync atime
0.000          0 1064611203          0  non-token data: last expiry atime
0.000          0          0          0  non-token data: last expire atime delta
0.000          0          0          0  non-token data: last expire reduction count

after '"sa-learn --spam --file spam" with 1 spam in it.

dax# sa-learn --dump magic
0.000          0          2          0  non-token data: bayes db version
0.000          0          1          0  non-token data: nspam
0.000          0          0          0  non-token data: nham
0.000          0        359          0  non-token data: ntokens
0.000          0 1064611203          0  non-token data: oldest atime
0.000          0 1064718512          0  non-token data: newest atime
0.000          0 1064611203          0  non-token data: last journal sync atime
0.000          0 1064611203          0  non-token data: last expiry atime
0.000          0          0          0  non-token data: last expire atime delta
0.000          0          0          0  non-token data: last expire reduction count


Thanks! Seems that was what I was missing. I'm going to adjust my 'learnspam' scriptaccordingly

Paul




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