[Mimedefang] learner indicated ham

Justin Edmands shockwavecs at gmail.com
Mon Aug 11 10:22:47 EDT 2014


On Sat, Aug 9, 2014 at 1:41 PM, G.W. Haywood
<mimedefang at 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?


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