mail::spamassassin::bayes(3) [centos man page]

Mail::SpamAssassin::Bayes(3)				User Contributed Perl Documentation			      Mail::SpamAssassin::Bayes(3)

NAME

       Mail::SpamAssassin::Bayes - support for learning classifiers

DESCRIPTION

       This is the general class used to train a learning classifier with new samples of spam and ham mail, and classify based on prior training.

       Prior to version 3.3.0, the default Bayes implementation was here; if you're looking for information on that, it has moved to
       "Mail::SpamAssassin::Plugin::Bayes".

perl v5.16.3							    2011-06-06					      Mail::SpamAssassin::Bayes(3)

Mail::SpamAssassin::Plugin::AutoLearnThreshold(3)	User Contributed Perl Documentation	 Mail::SpamAssassin::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) 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.

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 v5.12.1							    2010-03-16			 Mail::SpamAssassin::Plugin::AutoLearnThreshold(3)