https://issues.apache.org/SpamAssassin/show_bug.cgi?id=6344

Kevin A. McGrail <[email protected]> changed:

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--- Comment #8 from Kevin A. McGrail <[email protected]> ---
If this is a discussion on the efficacy and scoring of RP, DNSWL or other
rules, sobeit.  But a discussion of not autolearning specific rules, that
sounds flawed and unmaintainable to me. Here's my thoughts:

First, to my understanding, the noautolearn setting in question is a masscheck
setting.  It doesn't change production systems.

Second, It would seem to me that if you don't trust the set of rules to score
very high, you change the scores.  

Third, If you think the scores are not accurate, we get more people assisting
with rule QA and improve the scores.

Finally, the concept of not learning for the bayesian system based on certain
rules hitting/not-hitting for production systems seems to have little merit to
me.  


Regards,
KAM

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