Mail::SpamAssassin::Plugin::AutoLearnThreshold

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Mail::SpamAssassin::PUsernCoMail::SpamAssassin::Plugin::AutoLearnThreshold(3)



NAME
       Mail::SpamAssassin::Plugin::AutoLearnThreshold - threshold-based dis-
       criminator 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) are
       fed into its learning systems without user intervention, during scan-
       ning.

       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 differ-
       ent.

USER OPTIONS
       The following configuration settings are used to control auto-learn-
       ing:

       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 mes-
	   sage.

	   Note: SpamAssassin requires at least 3 points from the header, and
	   3 points from the body to auto-learn as spam.  Therefore, the min-
	   imum working value for this option is 6.



perl v5.8.8		    Mail::SpamAssassin::Plugin::AutoLearnThreshold(3)