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{
>>>
>>>
