On Thu, 2013-05-23 at 02:29 +0100, RW wrote:
> On Wed, 22 May 2013 20:44:58 +0200 Karsten Bräckelmann wrote:
> > > Is the autolearning supposed to accelerate? I can't help but feel
> > > like it may just be feeding itself it's own data or something.
> >
> > There is no feedback loop in the learning process. Automatic learning
> > is based on non-Bayes scores, and does in particular entirely ignore
> > certain rules like BAYES_nn. See the AutoLearnThreshold [1] plugin.
> >
> > Additionally, there are quite a few constraints for auto-learning to
> > happen. Besides the score thresholds, there are (non-configurable)
> > constraints for header and body rules being involved, etc.
>
> One of those constraints is that autolearning is prevented if Bayes
> produces a score of a point or more in the opposite direction to the
> autolearning decision.
Sounds familiar. We've had that thread before, didn't we? ;)
Good one, thanks for pointing it out, R.
> It is possible that Bayes could get into a state early on where
> autolearning is slow - particularly if bayes_auto_learn_on_error is
> set.
--
char *t="\10pse\0r\0dtu\0.@ghno\x4e\xc8\x79\xf4\xab\x51\x8a\x10\xf4\xf4\xc4";
main(){ char h,m=h=*t++,*x=t+2*h,c,i,l=*x,s=0; for (i=0;i<l;i++){ i%8? c<<=1:
(c=*++x); c&128 && (s+=h); if (!(h>>=1)||!t[s+h]){ putchar(t[s]);h=m;s=0; }}}
