[Rspamd-Users] Questions about REDIS and Bayes Learning
tim at muppetz.com
Mon Nov 19 16:56:02 UTC 2018
On 19/11/2018 9:28 pm, Alexander Moisseev via Users wrote:
> On 19.11.18 10:48, Tim Harman via Users wrote: On 19/11/2018 7:21 pm, Alexander Moisseev via Users wrote:
> On 19.11.18 3:02, Tim Harman via Users wrote: On 16/11/2018 9:43 pm, Manuel Garbin wrote:
> Hi Tim,
> autolearn will autofeed the bayes DB, that mean that you have 200+ learned.
> For your question :
> 1) I've used same command to clean a redis cache, it works
> 2) disable autolearn if you want use manual learn
> 3) use header + body and remove the X-spam status header
> With regards to the first part:
> 127.0.0.1:6379> HGETALL RS
> 1) "learns_spam"
> 2) "100"
> 3) "learns_ham"
> 4) "52"
> 5) "version"
> 6) "2"
> This seems to imply that less than 200 of both have been learnt? Or am
> I using the wrong REDIS command?
> The command is correct. You can get the same counters using `rspamc
> stat` command.
> At minimum, 200 ham and 200 spam mails need to be learnt.
> Thanks, that's what I thought.
> So my rspamc stat says:
> Statfile: BAYES_SPAM type: redis; length: 0; free blocks: 0; total
> blocks: 0; free: 0.00%; learned: 109; users: 1; languages: 0
> Statfile: BAYES_HAM type: redis; length: 0; free blocks: 0; total
> blocks: 0; free: 0.00%; learned: 61; users: 1; languages: 0
> Total learns: 170
> But I'm getting messages like so:
> BAYES_HAM (-3) [100.00%]
> BAYES_HAM (-0.318029) [75.54%]
> BAYES_SPAM (5.1) [100.00%]
> In my rspamd reports.
> Have I hit a minor bug here? It doesn't really bother me, it seems to
> be doing a great job of knowing what is spam and what's ham.
> But it seems the rules in the doco/config aren't actually being
Please run `spamadm configdump classifier.bayes.min_learns`. Does it
root at micro:/etc/rspamd/scores.d# rspamadm configdump
*** Section classifier.bayes.min_learns ***
*** End of section classifier.bayes.min_learns ***
Regardless, I see 1.8.2 is released today, I'll reset my bayes DB and
start again, see if I can see the same thing.
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