mail::spamassassin::plugin::razor2(3) [centos man page]
Mail::SpamAssassin::Plugin::Razor2(3) User Contributed Perl Documentation Mail::SpamAssassin::Plugin::Razor2(3)NAME
Mail::SpamAssassin::Plugin::Razor2 - perform Razor check of messages
SYNOPSIS
loadplugin Mail::SpamAssassin::Plugin::Razor2
DESCRIPTION
Vipul's Razor is a distributed, collaborative, spam detection and filtering network based on user submissions of spam. Detection is done
with signatures that efficiently spot mutating spam content and user input is validated through reputation assignments.
See http://razor.sourceforge.net/ for more information about Razor.
USER SETTINGS
use_razor2 (0|1) (default: 1)
Whether to use Razor2, if it is available.
ADMINISTRATOR SETTINGS
razor_timeout n (default: 5)
How many seconds you wait for Razor to complete before you go on without the results
razor_config filename
Define the filename used to store Razor's configuration settings. Currently this is left to Razor to decide.
perl v5.16.3 2011-06-06 Mail::SpamAssassin::Plugin::Razor2(3)
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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)
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