sa-learn [options] [file]...
Given a "typical" selection of incoming mail classified as spam or ham (non-spam), feed each mail to SpamAssassin, allowing it to 'learn' what signs are likely to mean spam, and which are likely to mean ham.
Run for each mail folder, and it will ''learn'' from the mail.
Globbing of the folder is supported; * will scan every folder that matches. See Mail::SpamAssassin::ArchiveIterator for more details. SpamAssassin remembers which mail messages it has learnt already, and will not re-learn those messages again, unless you use the --forget option. Messages learnt as spam will have SpamAssassin markup removed, on the fly. If you make a mistake and scan a mail as ham when it is spam, or vice versa, simply rerun this command with the correct classification, and the mistake will be corrected. SpamAssassin will automatically 'forget' the previous indications.
of spamd to perform training remotely, over a network, see -L .
--ham| (--spam) |
sa-learn --dump magic 0.000 0 3 0 non-token data: bayes db version 0.000 0 261396 0 non-token data: nspam 0.000 0 18089 0 non-token data: nham 0.000 0 148790 0 non-token data: ntokens 0.000 0 1230126517 0 non-token data: oldest atime 0.000 0 1236139617 0 non-token data: newest atime 0.000 0 1236140767 0 non-token data: last journal sync atime 0.000 0 1235651034 0 non-token data: last expiry atime 0.000 0 5529600 0 non-token data: last expire atime delta 0.000 0 10952 0 non-token data: last expire reduction count |
sa-learn --dump data 0.062 2274 2400 1236137441 c0614089c0 0.507 13202 889 1236085607 2dd27dc5f9 0.001 2 226 1236119931 461312c98e 0.003 8 170 1235173556 262e33315c … 148790 lines ! 0.016 0 1 1235685679 da21efbad4 0.016 0 1 1235706793 2f834646e6 0.987 1 0 1235769482 ab8e7006c3 0.987 1 0 1236111118 77f749b43b |
[13046] dbg: locker: safe_lock: link to /home/dauser/.spamassassin/bayes.lock: link ok
[13046] dbg: bayes: tie-ing to DB file R/W /home/dauser/.spamassassin/bayes_toks
[13046] dbg: bayes: tie-ing to DB file R/W /home/dauser/.spamassassin/bayes_seen
[13046] dbg: bayes: found bayes db version 3
[13046] dbg: locker: refresh_lock: refresh /home/dauser/.spamassassin/bayes.lock
[13046] dbg: bayes: DB expiry: tokens in DB: 148790, Expiry max size: 150000,
Oldest atime: 1230126517,
Newest atime: 1236139617,
Last expire: 1235651034,
Current time: 1236140791
[13046] dbg: bayes: expiry completed
[13046] dbg: bayes: untie-ing
[13046] dbg: bayes: files locked, now unlocking lock
[13046] dbg: locker: safe_unlock: unlink /home/dauser/.spamassassin/bayes.lock
v 3 db_version # this must be the first line!!! v 261603 num_spam v 19752 num_nonspam t 2275 2542 1239258238 c0614089c0 t 13207 1334 1239311789 2dd27dc5f9 t 2 275 1239303031 461312c98e t 8 189 1239254329 262e33315c t 1 107 1239123759 91919f0fac t 3 206 1239312110 90775ea219 … s s d6dafc819eb1dcefde08076645bc9f8ed412519b@sa_generated s s f0a5362fbb8e433dd8378e7986bb8d80edffbc03@sa_generated s h 266cee79307b372d7104c3dae598dca8acb9e15e@sa_generated s s 00ff668488135f17f4ac7c5a2ab7f573abfbef2f@sa_generated s s 0691c29973f6f3e9cb873387c3ede6bba6479581@sa_generated s s 5f1ec60edd55cb841c6dc14f014363350eb80453@sa_generatedSpam Assassin configuration
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