On Sat, 24 May 2014 22:12:10 -0700
Ian Zimmerman wrote:
> > So, now I am really confused. I think I did everything right in
> > user_prefs:
> > ...
> > Nonetheless:
> >
> > X-Spam-Score: 6.9
> > X-Spam-Tests:
> > BAYES_99=3.5,BAYES_999=0.2,HTML_FONT_LOW_CONTRAST=0.001,
> > HTML_MESSAGE=0.001,MIME_HTML_ONLY=0.723,RDNS_NONE=0.793,SPF_PASS=-0.001,
> > T_REMOTE_IMAGE=0.01,URIBL_BLACK=1.7 X-Spam-Autolearn: no
> > autolearn_force=no
>
> And here's a case where it doesn't autolearn ham (same user_prefs as
> above):
>
>...
> The documentation certainly doesn't say anything like the 3/3 and
> force mechanism is in place for ham. So this _should_ autolearn.
> Right? Right??
Mail::SpamAssassin::PlUser:CoMail::SpamAssassin::Plugin::AutoLearnThreshold(3)
NAME
Mail::SpamAssassin::Plugin::AutoLearnThreshold - threshold-based
discriminator for Bayes auto-learning
SYNOPSIS
loadplugin Mail::SpamAssassin::Plugin::AutoLearnThreshold
DESCRIPTION
This plugin implements the threshold-based auto-learning
discriminator for SpamAssassin's Bayes subsystem. Auto-learning is a
mechanism whereby high-scoring mails (or low-scoring mails, for
non-spam) are fed into its learning systems without user intervention,
during scanning.
Note that certain tests are ignored when determining whether a
message should be trained upon:
o rules with tflags set to 'learn' (the Bayesian rules)
o rules with tflags set to 'userconf' (user configuration)
o rules with tflags set to 'noautolearn'
Also note that auto-learning occurs using scores from either
scoreset 0 or 1, depending on what scoreset is used during
message check. It is likely that the message check and
auto-learn scores will be different.
