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Full Discussion: will I be able to do it ?
Top Forums UNIX for Dummies Questions & Answers will I be able to do it ? Post 4480 by Neo on Wednesday 25th of July 2001 05:26:04 AM
Old 07-25-2001
Microsoft networking is 'graphical click and popup based' and assumes that the user is not interested in learning about the detail of how the actual network processes work. The overal philosophy is 'users don't care about the details, they want it to be spoon fed to them'.

UNIX is built on a quite different philosophy. One of the tenants of that philosophy is that the user needs to "command the system" and not "the system commands the user." This results in the need to learn an incredible amount of detail about the underlying processes and structures.

This board assumes that newbies are self-motivated with a strong desire to learn. We cannot motivate nor advise folks on how to make a mental shift from the mindset created by point-and-click experience.

I can tell you that on the server-side, point-and-click is normally risky and takes much more time than understanding the command line side. However, on the desktop side, point-and-click has merit.

I'm very suprised to read you are an electrical engineer and a C programmer but are not inclined to dig in a learn UNIX from the posts you reference.

Perhaps a nice expresso machine and a month in isolation with your favorite UNIX platform? This is how most of us got started Smilie
 
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)
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