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First, you need HandClassifiedCorpora. Let's say that's made up of two maildir mbox folders, "/path/to/ham" and "/path/to/spam".
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cd masses ./mass-check --progress \ ham:dirmbox:/path/to/ham \ spam:dirmbox:/path/to/spam |
This will create two files, "ham.log" and "spam.log" containing the hitting rules, read from the rules dir "../rules" as they are applied to that corpus. Each line of the two log files represents details about one email message, and there's a line for every message.
mass-check also takes other options to control whether network tests are run, whether multiple processes are run in parallel, how the output is presented, etc.; read the comments at the top of the file for details. Here's some key bits:
Configuration File
Mass-check reads a "user_prefs" file in "spamassassin/user_prefs". You need to create this yourself, it will not be created for you.
Using network tests
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For mass-checks for scoresets 1 or 3, using network tests, you need to provide the {{\-\-net}} switch. Ensure Net::DNS, Mail::SPF::Query, Razor (InstallingRazor), Pyzor (InstallingPyzor) and DCC (\["InstallingDCC"\]) are installed. |
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cd masses mkdir spamassassin rm spamassassin/bayes* echo "use_bayes 1" > spamassassin/user_prefs |
or to turn it off:
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cd masses
mkdir spamassassin
echo "use_bayes 0" > spamassassin/user_prefs
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Once mass-check completes
The next step is to run hit-frequencies: see HitFrequencies for details.
Usage
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usage:[BR] mass-check \[options\] target ... |
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--bayes | report score from Bayesian classifier BR |
Usage: Targets
non-option arguments are used as target names (mail files and folders), the target format is: <class>:<format>:<location> BR
class | is "spam" or "ham" BR |
format | is "dir", "file", "mbx", "mbox", or "mboxdetect" BR |
location | is a file or directory name. Globbing of ~ and * is supported. BR |
"detect" can be used as a format. This assumes "mbox" for any file whose path contains the pattern "/\.mbox/i", "file" anything that is not a directory, or "directory" otherwise.
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