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Mail::SpamAssassin::Plugin::AutoLearnsouted Perl aassin::Plugin::AutoLearnThreshold(3)



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

SYNOPSIS
         loadplugin     Mail::SpamAssassin::Plugin::AutoLearnThreshold

DESCRIPTION
       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) nonspam)
       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:

          rules with tflags set to 'learn' (the Bayesian rules)

          rules with tflags set to 'userconf' (user configuration)

          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.

USER OPTIONS
       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 v5.8.8                                      2007-04-03Mail::SpamAssassin::Plugin::AutoLearnThreshold(3)