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{
>>
>>
