Mail::SpamAssassin::Plugin::AutoLearnThreshold - threshold-based
discriminator for Bayes auto-learning
This plugin implements the threshold-based auto-learning discriminator
for SpamAssassin's Bayes subsystem. Auto-learning is a mechanism
whereby high-scoring mails (or low-scoring mails, for non-spam) are fed
into its learning systems without user intervention, during scanning.
Note that certain tests are ignored when determining whether a message
should be trained upon:
o rules with tflags set to 'learn' (the Bayesian rules)
o rules with tflags set to 'userconf' (user configuration)
o rules with tflags set to 'noautolearn'
Also note that auto-learning occurs using scores from either scoreset 0
or 1, depending on what scoreset is used during message check. It is
likely that the message check and auto-learn scores will be different.
The following configuration settings are used to control auto-learning:
bayes_auto_learn_threshold_nonspam n.nn (default: 0.1)
The score threshold below which a mail has to score, to be fed into
SpamAssassin's learning systems automatically as a non-spam
bayes_auto_learn_threshold_spam n.nn (default: 12.0)
The score threshold above which a mail has to score, to be fed into
SpamAssassin's learning systems automatically as a spam message.
Note: SpamAssassin requires at least 3 points from the header, and
3 points from the body to auto-learn as spam. Therefore, the
minimum working value for this option is 6.
perl v5.10.0 Mail::SpamAssassin::Plugin::AutoLearnThreshold(3pm)