It works this way.

For example, if 'maxBayesValues' is set to 60

- DoHMM is set to monitor if less than 6 results are found -> Bayes will 
run
- DoHMM is set to score, if DoHMM is configured to block and less than 21 
results are found - Bayes will run on 'BayesAfterHMM'

 Thomas








Von:    K Post <nntp.p...@gmail.com>
An:     ASSP development mailing list <assp-test@lists.sourceforge.net>
Datum:  02.05.2015 16:34
Betreff:        [Assp-test] HMM and Bayesian Running



I've got BayesAfterHMM set to 0.3-0.7

Sometimes, I see bayesian run even though HMM scores a probability of
1.00000.  Is that right?  Could this be happening because HMM doesn't have
enough hits?  If that's the case can we tell ASSP to ignore HMM it's 
unsure
and use Bayesian INSTEAD (only) in these cases?

Sorry for the HMM questions, but the concept's new to me.


Clearly my databases aren't quite perfect, but I was hoping that 
senderbase
would bring the HMM score down enough to pass it.

However, with Bayesian running too, we exceed the max and it's blocked.

X-ASSP-Message-Score: -35 (White Organization/Domain
'RESPONSYS')
X-ASSP-IP-Score: -34 (White Organization/Domain 'RESPONSYS')
X-ASSP-Detected-URI: rsys2.com(1), e.hotwire.com(1),
hotwire.com(7)
X-ASSP-Message-Score: 49 (HMM Probability: 1.0000)
X-ASSP-IP-Score: 49 (HMM Probability: 1.0000)
X-ASSP-Message-Score: 49 (Bayesian Probability: 1.00000)
X-ASSP-IP-Score: 49 (Bayesian Probability: 1.00000)
X-ASSP-Spam-Prob: 1.00000
X-ASSP-HMM-Spam-Prob: 1.00000
X-ASSP-Tag: MessageLimit
X-ASSP-Spam-Reason: MessageScore 63, limit 50
X-ASSP-Message-Totalscore: 63
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