How-to Configure Server-Wide SpamAssassin Bayesian Scanning Options

Related Documentation: • SpamAssassin Bayes Documentation

Prerequisites

Last Updated for InterWorx version 3.0.1

No special prerequisites.

Purpose

The following procedure explains how to change the server-wide SpamAssassin Bayes Database configuration from the NodeWorx interface.

Procedure - Change Bayesian Scanning Options

  1. Click on the System Services menu if it is not already expanded.
  2. Click on the ♦    Mail Server submenu if it is not already expanded.
  3. Click on the      ◊    SPAM Filtering item.
  4. You should now be looking at the Mail Server Management :: SPAM Filter Settings controls in the main content area.
  5. Locate the Bayesian Scanning Options section.
  6. Modify the values as desired.
  7. Click the Update button in the Bayesian Scanning Options.
  8. You will see the following message at the top of the screen: » Bayesian scanning options updated successfully

Bayesian Scanning Options

Bayes Scanning

Enable or Disable the Bayes Database system server-wide.

Bayes Auto Learning

Enable or disable Bayes auto learning. If enabled, the system will automatically train the Bayes database by analyzing messages that have a score that strongly suggests that they are spam or non-spam.

Bayes IMAP Training

Enable or disable IMAP training. With Bayes IMAP training enabled, there will be two folders created for all e-mail accounts on the system: “Learn Spam” and “Learn Ham”. You can then put SPAM emails in the “Learn Spam” folder and non-spam in the “Learn Ham” folder. This will train the Bayes system on which emails are Spam and which are Ham (not Spam). The training occurs once daily, after which the folders’ contents are purged.

Bayes IMAP Learning Limit

The maximum number of e-mails that will be trained from each of the IMAP Training Folders, “Learn Spam” and “Learn Ham,” each day.

Global Bayes Database

enable or disable the Bayes global database. If enabled, all the Bayes data will be stored as a single global user. If disabled, each e-mail box user will have their own Bayes database to store bayesian data. “Disabled” is considered more effective for fighting Spam, but requires all e-mail users to train their messages individually, and uses more disk space, compared to the global database option.

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