I think the issue was because I never ran sa-learn --sync. On Tue, Jul 21, 2015 at 11:09 PM Roman Gelfand <rgelfa...@gmail.com> wrote:
> this is my bayes config > > use_bayes 1 > use_bayes_rules 1 > > > # Bayesian classifier auto-learning (default: 1) > # > bayes_auto_learn 1 > bayes_path /var/spamassassin/bayes > bayes_file_mode 0777 > > shortcircuit BAYES_99 spam > shortcircuit BAYES_00 ham > score BAYES_00 -3.5 > score BAYES_05 -2.0 > score BAYES_20 -1.0 > score BAYES_40 -0.5 > score BAYES_50 1.8 > score BAYES_60 3.5 > score BAYES_80 5.0 > score BAYES_95 6.5 > score BAYES_99 7.5 > score BAYES_999 0.4 > > > On Tue, Jul 21, 2015 at 10:59 PM Roman Gelfand <rgelfa...@gmail.com> > wrote: > >> I just ran spamassassin -D --lint. Below, is the bayes results. >> >> Jul 21 22:49:41.958 [8922] dbg: bayes: learner_new >> self=Mail::SpamAssassin::Plugin::Bayes=HASH(0xb54d58c), >> bayes_store_module=Mail::SpamAssassin::BayesStore::DBM >> Jul 21 22:49:42.063 [8922] dbg: bayes: learner_new: got >> store=Mail::SpamAssassin::BayesStore::DBM=HASH(0xb984c08) >> Jul 21 22:49:42.067 [8922] dbg: bayes: tie-ing to DB file R/O >> /var/spamassassin/bayes_toks >> Jul 21 22:49:42.085 [8922] dbg: bayes: tie-ing to DB file R/O >> /var/spamassassin/bayes_seen >> Jul 21 22:49:42.121 [8922] dbg: bayes: found bayes db version 3 >> Jul 21 22:49:42.130 [8922] dbg: bayes: DB journal sync: last sync: >> 1437526591 >> >> Jul 21 22:49:42.310 [8922] dbg: bayes: DB journal sync: last sync: >> 1437526591 >> Jul 21 22:49:42.311 [8922] dbg: bayes: corpus size: nspam = 1213, nham = >> 785 >> Jul 21 22:49:42.336 [8922] dbg: bayes: cannot use bayes on this message; >> not enough usable tokens found >> Jul 21 22:49:42.337 [8922] dbg: bayes: not scoring message, returning >> undef >> Jul 21 22:49:42.338 [8922] dbg: bayes: DB expiry: tokens in DB: 120539, >> Expiry max size: 150000, Oldest atime: 1431846751, Newest atime: >> 1437531525, Last expire: 1437456307, Current time: 1437533382 >> Jul 21 22:49:42.339 [8922] dbg: bayes: DB journal sync: last sync: >> 1437526591 >> Jul 21 22:49:42.339 [8922] dbg: bayes: untie-ing >> >> >> >> On Tue, Jul 21, 2015 at 9:41 PM Roman Gelfand <rgelfa...@gmail.com> >> wrote: >> >>> Good question. I am not sure. How do I tell which dB it is pointing? >>> It has been some time since I set it up. >>> >>> On Tue, Jul 21, 2015, 9:14 PM David B Funk <dbf...@engineering.uiowa.edu> >>> wrote: >>> >>>> On Wed, 22 Jul 2015, Roman Gelfand wrote: >>>> >>>> > I did numerous sa-learn on this one type of email and spamassasiin >>>> makes the following evaluation every time. I am not sure what I >>>> > am doing wrong. >>>> > >>>> > X-Spam-Level: ** >>>> > X-Spam-Status: No, score=2.3 required=5.0 tests=BAYES_50,HTML_MESSAGE, >>>> > MIME_HTML_ONLY,RDNS_NONE,T_FILL_THIS_FORM_SHORT,T_REMOTE_IMAGE >>>> autolearn=no >>>> > version=3.3.2 >>>> >>>> Are you certain that the Bayes database that you did your manual >>>> learning to is >>>> the same one that your mail filtering system is looking at? >>>> >>>> "BAYES_50" implies that your Bayes database (as used by your mail >>>> filtering >>>> system) has no idea (good or bad) what that message is. This implies >>>> that either >>>> it has -no- tokens that match that message or has an almost equal >>>> number of >>>> spammy tokens and hammy tokens that match. >>>> >>>> -- >>>> Dave Funk University of Iowa >>>> <dbfunk (at) engineering.uiowa.edu> College of Engineering >>>> 319/335-5751 FAX: 319/384-0549 1256 Seamans Center >>>> Sys_admin/Postmaster/cell_admin Iowa City, IA 52242-1527 >>>> #include <std_disclaimer.h> >>>> Better is not better, 'standard' is better. B{ >>> >>>