On Tue, 8 May 2018, Matthew Broadhead wrote:
system setup centos-release-7-4.1708.el7.centos.x86_64,
spamassassin-3.4.0-2.el7.x86_64, amavisd-new-2.11.0-3.el7.noarch
/etc/mail/spamassassin/local.cf:
required_hits 5
report_safe 0
rewrite_header Subject [SPAM]
use_bayes 1
bayes_auto_learn 1
bayes_auto_expire 1
# Store bayesian data in MySQL
bayes_store_module Mail::SpamAssassin::BayesStore::MySQL
bayes_sql_dsn DBI:mysql:sa_bayes:localhost:3306
it is storing the info to the database ok. but it doesn't seem to be
filtering any mail.
(1) What is the output of: /usr/bin/sa-learn --dump magic
(2) What user are you running sa-learn as for training, and what user is
spamd running as?
(3) Are you seeing any BAYES_nn rule hits on messages at all, on either
ham or spam?
(4) How large is your environment (rough # and diversity of users)?
I'm not familiar with SQL Bayes, others may have other
questions/recommendations.
Some general comments:
I don't recommend using auto-learn for initial bayes training at least,
particularly in smaller environments. Manual initial training with careful
review, followed by manual training of misclassifications after review, is
more reliable. Others may offer different advice, particularly for large
installs with a diverse user community (which I don't manage).
Always keep your training corpora so that you can review and fix training
errors, and wipe and retrain from scratch if Bayes goes completely off the
rails for some reason.
If you're not auto-learning, auto-expire is not needed. If you *are*, it's
recommended to expire from a scheduled job rather than take the hit from
spamd.
--
John Hardin KA7OHZ http://www.impsec.org/~jhardin/
jhar...@impsec.org FALaholic #11174 pgpk -a jhar...@impsec.org
key: 0xB8732E79 -- 2D8C 34F4 6411 F507 136C AF76 D822 E6E6 B873 2E79
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