02-03-2009
Getting started with Solaris
Hey everyone,
I'm wanting to get started with learning about Unix and I'm hoping that I'm in the correct place. The kind of things that I'm aiming to learn about are general Unix operation, the benefits provided by the Solaris platform in different areas, and really just getting a grip of this open-source technology.
To let you know a bit about myself I have a fair amount of training in programming Java following my studies in University. The only computer I own is an Intel Macbook so I need to know if this is a suitable platform (and if not, what other Unix OS would be recommended?). I have access to Ubuntu computers in University too.
Could you recommend any relevant textbooks or online guides that would start me off? I appreciate that this is a large community, so hopefully I can become part of that too (learning and then contributing!).
Apologies if this sort of 'help me I'm new' post appears a lot and annoys anyone, I would appreciate any support though!
- Starky
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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)