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
 
##################################
 
 
 
Eyvonne Sharp
Web Services Manager
Box Lake Networks
(859) 737-4400
http://www.boxlake.com

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