The most important think you will learn here is how to present a problem with the right facts so that you get an answer in one post. Should you move into a support role this will teach you the right questions to ask.
Hi, in my case, I have a question for topics that are slightly dealt with in class, which I am investigating on my own but which are not directly related to the lessons.
Do I have to put the name of the school and others?
(I can't put the name of the professor because is against the school rules... (2 Replies)
Discussion started by: Naky
2 Replies
2. Post Here to Contact Site Administrators and Moderators
Hello!
I posted twice on issues I'm having getting the latest GCC compiler to compile ( "Command failed for target 'check-recursive' error" in the Solaris forum and "Compiling GCC 6.3.0 - Error with Library" in the UNIX for Beginners... forum) with zero responses. After many hours of beating my... (0 Replies)
Hi All,
can anybody suggest, what steps i should follow to post a forum, i am able to post a thread, and also my account is registered.
thanks in advance (2 Replies)
Discussion started by: varunksharma87
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5. Post Here to Contact Site Administrators and Moderators
Homework Help:
On Posting Questions:
Any and all high school and undergraduate homework assignments or textbook style exercises for which you are seeking assistance are to be posted only in our Homework & Coursework Questions area--not in blogs, visitor messages, PMs, or the main technical... (0 Replies)
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.
bayes_auto_learn_on_error (0 | 1) (default: 0)
With "bayes_auto_learn_on_error" off, autolearning will be performed even if bayes classifier already agrees with the new
classification (i.e. yielded BAYES_00 for what we are now trying to teach it as ham, or yielded BAYES_99 for spam). This is a
traditional setting, the default was chosen to retain backwards compatibility.
With "bayes_auto_learn_on_error" turned on, autolearning will be performed only when a bayes classifier had a different opinion from
what the autolearner is now trying to teach it (i.e. it made an error in judgement). This strategy may or may not produce better future
classifications, but usually works very well, while also preventing unnecessary overlearning and slows down database growth.
perl v5.16.3 2011-06-06 Mail::SpamAssassin::Plugin::AutoLearnThreshold(3)