Perform Bayes training from the command line interface.
Make sure that the location of maildirs
PLESK_MAILNAMES_Dis set properly in/etc/psa/psa.conf
warden --task=antispam:train --oper=<train_spam|train_ham|untrain_spam|untrain_ham|force_expire|statistics|reset_training>Option |
Value | Description |
|---|---|---|
--oper |
<string> | The operation you want to perform. Operations: train_spam, train_ham, untrain_spam, untrain_ham, force_expire, statistics, reset_training |
--domains |
<string1,string2> | The domains to use for Bayes training. Use 'all' for all domains. |
--mailboxes |
<string1,string2> | The mailboxes to use for Bayes training. |
--max_days |
<digit> | The maximum number of days of mail to include in training. Spam training will default to 30 days. Ham training will default to 7 days. |
--max_size |
<digit> | Skip messages larger than this size (in KB). Defaults to 500KB, Use 0 for no limit. |
--debug |
<string1,String2> | Print debugging messages (area1,area2). Use 'all' for all areas. |
--progress |
<1|0> | Show a progress indicator when training. |
// train spam for all domains
warden --task=antispam:train --oper=train_spam --domains=all --progress=1
// train ham for all domains
warden --task=antispam:train --oper=train_spam --domains=all --progress=1
// train spam for specific domains
warden --task=antispam:train --oper=train_spam --domains=example1.com,example2.com --progress=1
// train ham for specific domains
warden --task=antispam:train --oper=train_ham --domains=example1.com,example2.com --progress=1
// train spam for specific mailboxes
warden --task=antispam:train --oper=train_spam --mailboxes=test@example1.com,test@example2.com --progress=1
// train ham for specific mailboxes
warden --task=antispam:train --oper=train_ham --mailboxes=test@example1.com,test@example2.com --progress=1
// train ham for a specific mailbox using the last 30 days of unread mail with a max size of 1000 KB.
warden --task=antispam:train --oper=train_ham --mailboxes=test@example1.com --max_days=30 --max_size=1000 --progress=1
// force expire of old tokens out of the database
warden --task=antispam:train --oper=force_expire
// get training statistics
warden --task=antispam:train --oper=statistics
// delete all bayes training data from the database
warden --task=antispam:train --oper=reset_training