04-04-2002
New User
I am very interested in learning all I can about all of the computer languages so any help that anyone could give me would really be appreciated.
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Hi all,
I am using Sun Solaris 9 .In this system normal users unable to create files from the command line.I added these users in bin,adm and even root group i found them unable to create a file. (1 Reply)
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Hi all,
I am trying to eject the cdrom from a livecd after certain stage...
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Thanks
AVKlinux (3 Replies)
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Hi All
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5. UNIX for Advanced & Expert Users
Besides doing some shell-script which loops through /etc/passwd, I was wondering if there was some command that would tell me, like an enhanced version of getent.
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Hi I need help..........
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if
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Whenever i switch from root to another user, by doing su - user, it takes me to home directory of user. This is very annoying as i want to be in same dir to run different commands as root sometimes and sometimes as normal user.
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9. UNIX for Advanced & Expert Users
Hello,
i configured rhel linux 6 with AD directory to authorize windows users to connect on the system and it works.
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LEARN ABOUT CENTOS
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.
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)