On Sat, Aug 9, 2014 at 1:41 PM, G.W. Haywood <mimedef...@jubileegroup.co.uk> wrote:
> It wasn't all that vague. :) > > You guys do REJECT your spam, don't you? > > -- > > 73, > Ged. Bill, Thank you very much for the response. The detail is much appreciated. As Ged mentioned, not vague, helpful to say the least. The part about highly trusted rules caught my attention: "Another way to increase autolearning without going all the way to the "learn on error" behavior is to flag rules that you trust highly as "autolearn_force" so that messages matching them won't ever be excluded from autolearning based on the existing Bayes DB disagreeing with the deterministic rules." I think these will get me started: tflags URIBL_DBL_SPAM autolearn_force tflags URIBL_JP_SURBL autolearn_force tflags URIBL_BLACK autolearn_force tflags INVALID_DATE autolearn_force Any others that are definites? _______________________________________________ NOTE: If there is a disclaimer or other legal boilerplate in the above message, it is NULL AND VOID. You may ignore it. Visit http://www.mimedefang.org and http://www.roaringpenguin.com MIMEDefang mailing list MIMEDefang@lists.roaringpenguin.com http://lists.roaringpenguin.com/mailman/listinfo/mimedefang
