Robert Fitzpatrick wrote:
> On Wed, 2008-03-12 at 11:11 -0700, Kurt Buff wrote:
>
>> X-Spam-Status: No, hits=0 tagged_above=-999
required=5
>> tests=DKIM_SIGNED=0.001, DKIM_VERIFIED=-0.001,
DK_SIGNED=0.001,
>> SPF_PASS=-0.001
>> X-Spam-Level:
>>
>> It's definitely possible I'm looking at something
incorrectly, but that's what I found so far.
>>
>
> I think bayes needs a minimum amount of ham and spam to
start tagging.
> If you're still not seeing bayes tags, check the db
table directly,
> bayes_vars, and make sure you counts are rising. This
is also important
> to watch as you don't want spam/ham counts lopsided.
>
Bayes needs 200 ham and 200 spam before it will be used for
scoring. I
understand more than 2000 before its really useful.
You might try (as amavisd user) sa-learn --dump magic. Check
that nham
and nspam are over 200. Even then, every email isn't going
to fire a
bayes score. I think I would get some mail into at least ham
cache, run
process-quarantine and check the output so you know
something made it
into bayes, then --dump magic. It is critical that all parts
of the
system are interacting with bayes as the same user
(override_user
notwithstanding). My method is the "can't write a
proper select count
query" method
0.000 0 3 0 non-token data:
bayes db version
0.000 0 244301 0 non-token data:
nspam
0.000 0 51666 0 non-token data:
nham
0.000 0 390214 0 non-token data:
ntokens
0.000 0 1204029253 0 non-token data:
oldest atime
0.000 0 1205464646 0 non-token data:
newest atime
0.000 0 0 0 non-token data: last
journal
sync atime
0.000 0 1205126102 0 non-token data: last
expiry atime
0.000 0 345600 0 non-token data: last
expire
atime delta
0.000 0 1079 0 non-token data: last
expire
reduction count
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