03-10-2019
I'll probably never be the best in the field...
I don't know how to start this but here goes.
I've been "using" Linux for over 10 years, possibly more and I still feel like I'm nowhere
where I should be. I'll be fair most of my time was spent either figuring out how
to run games on *nix at the time but as I got older and "wiser" I started learning
more about it. I do credit my dad for opening up the world of *nix to me as
he was more of a networks type of guy.
Long story short, I was blessed with a job working with Unix systems; Solaris & IBM i series.
I'm able to get tasks from my senior fairly done without much questioning from him I still feel
I'm light years behind, I don't know why but it seems that's so much more than #echo "hello world".
I guess I'm just venting, this is my first sysadmin job ever and, it was a huge jump from
being in tech support for a year and half. A few times I surprised my senior but, I don't know...
feels like I'm missing something.
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LEARN ABOUT SUSE
mail::spamassassin::plugin::autolearnthreshold
Mail::SpamAssassin::Plugin::AutoLearnThreshold(3) User Contributed Perl Documentation Mail::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.
USER OPTIONS
The following configuration settings are used to control auto-learning:
bayes_auto_learn_threshold_nonspam n.nn (default: 0.1)
The score threshold below which a mail has to score, to be fed into SpamAssassin's learning systems automatically as a non-spam
message.
bayes_auto_learn_threshold_spam n.nn (default: 12.0)
The score threshold above which a mail has to score, to be fed into SpamAssassin's learning systems automatically as a spam message.
Note: SpamAssassin requires at least 3 points from the header, and 3 points from the body to auto-learn as spam. Therefore, the
minimum working value for this option is 6.
perl v5.12.1 2010-03-16 Mail::SpamAssassin::Plugin::AutoLearnThreshold(3)