sa-learn runs, but doesn't seem to learn anything

Following some corruption issue in my bayes database I have deleted all the bayes* files and set about relearning. This looks promising: # /kolab/bin/sa-learn --dbpath /kolab/var/amavisd/.spamassassin --ham /kolab/var/imapd/spool/domain/e/example.com/s/shared^learn-ham Learned tokens from 962

Spam Reporting - reducing the load

back to first principles and writing some non-SA based code to report to SpamCop, Razor and DCC? Better still, has someone else done it? Is there some nice efficient fast code out there for spamtraps? Cheers -- Chris Hastie

To add or to multiply (slightly OT)

I will read them with great interest when I get back... Thanks -- Chris Hastie

Re: To add or to multiply (slightly OT)

On Thu, 16 Jun 2005, jdow [EMAIL PROTECTED] wrote From: Chris Hastie [EMAIL PROTECTED] Thus if a piece of mail has failed all three of these tests, the probability of it being ham is 0.05 * 0.2 * 0.4 = 0.004, or 1/250. Or put another way, we can be 99.6% sure it is spam. They got