Hello,
I have a question regarding autolearning and Bayes functionality.
From reading the documentation, it appears that to train the Bayesian filter I
require a minimum of 1,000 pieces of ham and 1,000 pieces of spam. I am
currently collecting spam on one of my servers via a spam trap address and
slowly reaching that number. I was wondering, though, if I can use auto
learning (bayes_auto_learn 1), before training the database ?
When autolearn fires on messages at the moment, it is correctly detecting ham
and spam based on the default ham and spam thresholds:
bayes_auto_learn_threshold_nonspam 0.1
bayes_auto_learn_threshold_spam 12.0
Can this be used before training the database or is it more often used to
supplement (on an ongoing basis), a database that has already be trained ?
Thanks,
- J
