35 lines
1.8 KiB
Markdown
35 lines
1.8 KiB
Markdown
# sa-train
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A bash script and systemd setup that run sa-learn on all mailbox folders for users that
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are members of the satrain group.
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It is assumed that read mails in a Spam folder in the root of a user's maildir has spam,
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while everthing else is ham. A directory called SpamSuspect is assumed to contain mail
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that needs to be manually categorised by being moved into Spam or another folder.
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All the specific names can be configured in either */etc/sa-train.conf* or
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*~/.sa-train/config* where the user configuration overrides the system configuration.
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**SETTINGS:**
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Possible configuration values are (with the default value if not otherwise specified
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in config):
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**spam_folder .Spam**
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The subfolder in the user's mailbox folder that contains mail to train as spam.
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Only read mails are used, so if the MTA delivers mail marked as spam by spamassassin
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to this folder as unread, the user can verify them by marking them as read, after
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which sa-train will add them to the bayesian filter.
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**max_age 90**
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The maximum age in days of mails to train spamassassin with. This is probably only
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relevant the first time training is performed. Normally sa-train only examines mails
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that have a modified date more recent than the newest mail in the last training
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session. To re-train spamassassin remove the ~/.sa-train/last* files, delete the
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bayesian database and run sa-train.sh as root.
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**spammed_group sa-train**
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The name of the unix group, the members of which will have their mailboxes used to
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train the spamassassin bayesian filter. Each users filter is trained using their
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specific mailboxes, so the filtering conform to their patterns of spam.
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*This setting is only relevant in the global config file and is ignored in the user configs.*
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