How hard would it be to create a new rule for BAYES scoring that IS used by autolearn?
Specifically, when I see this: * BAYES_99 BODY: Bayesian spam probability is 99 to 100% * [score: 1.0000] in the header, I'm fairly comfortable with having it autolearnt and letting my .procmailrc script send it straight to /dev/null. However, since BAYES scores are not used in deciding whether or not autolearn is used, this rarely happens. So a new rule of BAYES_100 (for scores that are 100%), that is used would be helpful. How? -- + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Chris Barnes AOL IM: CNBarnes [EMAIL PROTECTED] Yahoo IM: chrisnbarnes Computer Systems Manager ph: 979-845-7801 Department of Physics fax: 979-845-2590 Texas A&M University ------------------------------------------------------- This SF.net email is sponsored by: SF.net Giveback Program. Does SourceForge.net help you be more productive? Does it help you create better code? SHARE THE LOVE, and help us help YOU! Click Here: http://sourceforge.net/donate/ _______________________________________________ Spamassassin-talk mailing list [EMAIL PROTECTED] https://lists.sourceforge.net/lists/listinfo/spamassassin-talk
