Re: Strange Errors from SA 3.0

2004-09-29 Thread Erik Wickstrom
of the --lint -D.. So, I went through each cf file and made sure my descriptions were 50 characters long.. -Original Message- From: Erik Wickstrom [mailto:[EMAIL PROTECTED] Sent: Monday, September 27, 2004 8:49 PM To: users@spamassassin.apache.org Subject: Strange Errors from SA 3.0 Hi all

Should I use RBL?

2004-09-29 Thread Erik Wickstrom
Hi All, Just wanted to get your opinion on whether or not I should have RBL activated? I have read some mixed opinions so far. Does it create alot of false positives (vice versa)? Thanks, Erik

Re: Problem with Bayes learner.

2004-09-29 Thread Erik Wickstrom
Hi John, I had a similar problem, and with the help of the list, I was able to resolve it. Here is what you have to do. FIRST kill spamd - if the process is running, it will mess everything up! Second: run sa-learn --sync -D this may take a little while, but it will upgrade your database

Strange Errors from SA 3.0

2004-09-28 Thread Erik Wickstrom
Hi all, I keep getting strange errors like this from spamassassin: sa-learn --dump magic bayes db version 2 is not able to be used, aborting! at /usr/lob/perl5/site_perl/5.8.1/Mail/SpamAssassin/BayesStore/DBM.pm line 160. ERROR: Bayes dump returned an error, please re-run with -D for more

Bayes keeps forgetting learned messages

2004-09-28 Thread Erik Wickstrom
Hi all, 2 problems. First, when I train SA on ham or spam, it seems to forget the counterpart. Example: sa-learn --mbox --showdots --ham inbox Would add say 300 hams to the Bayes DB, but turns the spam count to 0 or a very small number and vice versa (sa-learn --dump magic) I am also noticing

Berkley vs SQL for SA

2004-09-28 Thread Erik Wickstrom
Hi All, Just wanted to get your opinion on whether I should be using the default Berkely DB for Bayes and AWL or if I should use SQL - what are the pro/cons? Erik

Re: Bayes filter

2004-09-28 Thread Erik Wickstrom
If this is a new install, you won't feel much of a difference. Bayes however is an extremely powerful tool once it is trained. Bayes learns what your ham and spam emails look like, and then through the magic of statistics, it classifies incoming messages as spam or ham based on your history. I