I am using SA 2.55 on a mail server for only a few
select users. We have auto_learn turned on for those users using procmail
(I am not running the daemon).
.procmailrc
###########################################################################
:0fw | /usr/bin/spamassassin -P -a :0 * ^X-Spam-Status: Yes $HOME/Spam ##################################
I haven't been able to find any information in the
docs on what messages are auto_learned and why. Users that have received
over thousands of emails and have had hundreds of messages classified as
spam will only have a bayes_msgcount of 94. Does that mean that auto_learn
has only 'read' 94 email messages? If this is the case, it isn't very
helpful.
For users that we manually execute sa-learn for,
their msgcount is close to the number of messages run through sa-learn
and the Bayesian filtering works well.
How do I get auto_learn to recognize more messages
or even all messages that are run through SA?
Please advise.
user_prefs
###########################################################################
# How many hits before a message is considered spam. required_hits 5.0 # Whether to change the subject of suspected
spam
rewrite_subject 0 # Text to prepend to subject if rewrite_subject is
used
subject_tag *****SPAM***** # Encapsulate spam in an
attachment
report_safe 1 # Use terse version of the spam
report
use_terse_report 0 # Enable the Bayes
system
use_bayes 1 # Enable Bayes
auto-learning
auto_learn 1 # Enable or disable network
checks
skip_rbl_checks 0 use_razor2 1 use_dcc 1 use_pyzor 1 # Mail using languages used in these country codes
will not be marked
# as being possibly spam in a foreign language. ok_languages all # Mail using locales used in these country codes
will not be marked
# as being possibly spam in a foreign language. ok_locales all ################################## |
- Re: [SAtalk] Auto Learn Question Eyvonne Sharp
- Re: [SAtalk] Auto Learn Question Daniel Quinlan