


Mail::SpamAssassUMisanei:rl::PC:loSunpgtairmniA:bs:usAtauestdsoiLPnee:ar:rlPnlTDuhogrcieunsm:he:onAltudat(to3iLpoe)narnThreshold(3p)


NNAAMMEE
       Mail::SpamAssassin::Plugin::AutoLearnThreshold - threshold-based
       discriminator for Bayes auto-learning

SSYYNNOOPPSSIISS
         loadplugin     Mail::SpamAssassin::Plugin::AutoLearnThreshold

DDEESSCCRRIIPPTTIIOONN
       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.

UUSSEERR OOPPTTIIOONNSS
       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
           message.

       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 v5.12.2                2010-03-16                          1


