I agree in principle with the response from jim mcnamara
However, I think there are some differences between Linux and HP-UX. If you desire an HP-UX experience, the site Polarhome - gateway to freedom offers free (non-administrative) access to a number of different platforms including HP-UX.
The version I currently use there is:
See web page for details on access.
hi all, im very new to linux, i want to install it on my laptop along side windows nt, there are so many versions of linux, i dont know which one to use, could i get some advice please on which one i should use and how to go about installing it, (do i need a partition ?)
thanx in advance (2 Replies)
Hi all:
I was just wondering if someone could tell me what versions of UNIX are available to public? I'm aware of all the available distro's for Linux e.g. Debain, SuSe, RedHat, etc ... However you never really here much about UNIX distro's! Is UNIX BDS a common one in use?
Thanks
Oliver (4 Replies)
I need to collect the software versions for various pieces of software installed on my SunOS box. is there a software listing somewhere? Any help on how to do that would be very much appreciated.
Thanks,
GBWR (3 Replies)
I got my hands on a HP9000/380 and need a (really) old version of HP-UX, like 7 or 8.
Is there any vendor who sells older versions? I did a quick search here and checked the FAQ and HPs HP-UX site but couldn't find anything. :confused:
Any help is appreciated! (4 Replies)
Hi,
Does anyone know if the various releases of Solaris are archived anywhere? I work for a DR company and it would be useful to have different releases of a Solaris version number i.e. Solaris 10 6/06 (3 Replies)
Hello, I am very new at this and would like to know how many versions of Unix there are and all of the different versions of unix. (3 Replies)
Discussion started by: rosanna azani
3 Replies
LEARN ABOUT DEBIAN
mail::spamassassin::plugin::autolearnthreshold
Mail::SpamAssassin::Plugin::AutoLearnThreshold(3pm) User Contributed Perl Documentation Mail::SpamAssassin::Plugin::AutoLearnThreshold(3pm)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 v5.14.2 2011-06-06 Mail::SpamAssassin::Plugin::AutoLearnThreshold(3pm)