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:

    * 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.