Hello, all. I've just upgraded from 2.43 to 2.60 and am excited about getting the bayesian filtering working. I (stupidly) deleted around 3000 spams from my "trash" folder last week without thinking about it, so I still need to save up to reach the 200 threshold.
I have some questions about using sa-learn on what I do have, though. When I first used it, I gave it this syntax: sa-learn --spam trash Where trash was a standard folder with a few dozen spams in it. It would take forever and come back reporting only one message in the folder. I assumed that I needed the --mbox switch also, which seems to work much better! I hadn't seen this in any of the examples or anything though, so I wanted to make sure I was doing this right. My second question, is that when I run sa-learn as follows I only see in the debugs stuff about tokenizing header tokens, nothing about the bodies of the messages. Is this normal? sa-learn -D --spam --mbox trash Thanks. -- --=-=-=-=-=-=-=-=-=-=-=- Barry J. Bocaner [EMAIL PROTECTED] http://web.bocaner.net -=-=-=-=-=-=-=-=-=-=-=-= ------------------------------------------------------- This SF.net email sponsored by: Enterprise Linux Forum Conference & Expo The Event For Linux Datacenter Solutions & Strategies in The Enterprise Linux in the Boardroom; in the Front Office; & in the Server Room http://www.enterpriselinuxforum.com _______________________________________________ Spamassassin-talk mailing list [EMAIL PROTECTED] https://lists.sourceforge.net/lists/listinfo/spamassassin-talk
