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hmine(1) [debian man page]

HMINE(1)																  HMINE(1)

NAME
hmine - a mail message header analyzer. SYNOPSIS
hmine [-vDa] [FILE] hmine -V DESCRIPTION
hmine reads a mail message from FILE or STDIN and outputs a variety of information found in the message headers. The message is expected in Internet mail format (RFC 821,822,2821,2822 or variations thereof). The body is not inspected. EXIT STATUS
On success, hmine returns 1. In case of a problem, hmine returns zero. OPTIONS
-a Print mailboxes and groups found in various header fields, one per line, preceded by the field name. Actual email addresses are always enclosed in '<' and '>' for easy parsing, ie anything not within these delimiters is not part of an email address. Beware that not every line need contain an email address. -D Debug output. -V Print the program version number and exit. USAGE
An invocation looks like this: % hmine email.txt SOURCE
The source code for the latest version of this program is available at the following locations: http://www.lbreyer.com/gpl.html http://dbacl.sourceforge.net BUGS
At present, hmine parses messages but doesn't output anything useful. AUTHOR
Laird A. Breyer <laird@lbreyer.com> SEE ALSO
dbacl(1), mailcross(1), mailfoot(1), mailinspect(1), mailtoe(1), regex(7) Version 1.12 Bayesian Classification Tools HMINE(1)

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BAYESOL(1)																BAYESOL(1)

NAME
bayesol - a Bayes solution calculator for use with dbacl. SYNOPSIS
bayesol [-DVNniv] -c riskspec [FILE]... bayesol -V DESCRIPTION
bayesol is a Bayes solution calculator designed to combine the output of dbacl(1) with a prior distribution and a risk specification, and calculate the optimal Bayesian decision (which minimizes the posterior risk). The risk specification is read from the text file riskspec and must be written in a simple format described below. The dbacl(1) output can either be read from FILE or from STDIN. EXIT STATUS
On success, bayesol returns a positive integer corresponding to the category with the lowest risk. In case of a problem, bayesol returns zero. OPTIONS
-c Classify using riskspec. See the section RISK SPECIFICATION. -i Fully internationalized mode. Forces the use of wide characters internally, which is necessary in some locales. This incurs a noticeable performance penalty. -n Print risk scores for each category. Each score is (approximately) the logarithm of the expected risk under that category. The low- est score (ie closest to -infinity) is best, etc. -N Print recursive risk scores for each category. Each score is (approximately) the logarithm of the best score based on the remaining categories, after the previously best scoring categories have been removed, and a normalizing factor was added. A full description is given in the technical report listed at the end of this manpange. The largest score (ie closest to +infinity) is best, etc. -v Verbose mode. Prints to STDOUT the category with minimum posterior risk. In case several categories are possible, prints the first category in the order in which they appear in the categories section of riskpspec. -D Print debug output. Do not use. -V Print the program version number and exit. RISK SPECIFICATION
bayesol needs to read a text file riskspec containing a risk specification. The format of this text file is as follows categories { cat1, cat2,..., catN} prior { p1, p2,..., pN} loss_matrix { "regex1" c1 [ formula11, formula12,..., formula1N] "regex2" c2 [ formula21, formula22,..., formula2N] . . "regexM" cM [ formulaM1, formulaM2,..., formulaMN] } In the above, cat1, cat2,..., catN, are category names, p1, p2,..., pN, are non-negative numbers, regex1, regex2,..., regexM, are (possibly empty) regular expression strings, c1, c2,..., cM, are instances of the category names cat1, cat2,..., catN, and the formulas are numbers or mathematical expressions. Every category which appears in the categories section must appear at least once in the loss_matrix section, with an empty "" regular expression. To construct the actual loss matrix used in the decision calculations, bayesol selects, for each category appearing in the categories section, the first row whose regular expression is matched within FILE or STDIN, or the first row with empty regular expression if there are no matches. Each formula can be either a single number, or an algebraic combination of the operators exp(), log(), +, -, *, /, ^ and parentheses (). The string "inf" is parsed as the value infinity. Also, the string "complexity" is recognized, and converted to the complexity for that category as reported by dbacl(1). Finally, if the corresponding regular expression contains submatches delimited by parentheses, their numerical values can be used inside the formulas as the special variables $1, ..., $9. Note that submatches which aren't numerical are con- verted to the value zero. Case is important. Spaces and newlines can be liberally inserted. Comments must start with a # and extend to the end of the line. USAGE
Typically, bayesol is used together with dbacl(1). An invocation looks like this: % dbacl -c one -c two -c three sample.txt -vna | bayesol -c toy.risk -v See /usr/share/doc/dbacl/costs.ps for a description of the algorithm used. See also /usr/share/doc/dbacl/tutorial.html for a more detailed overview. SOURCE
The source code for the latest version of this program is available at the following locations: http://www.lbreyer.com/gpl.html http://dbacl.sourceforge.net AUTHOR
Laird A. Breyer <laird@lbreyer.com> SEE ALSO
dbacl(1), mailcross(1), mailfoot(1), mailinspect(1), mailtoe(1), regex(7) Version 1.12 Bayesian Classification Tools BAYESOL(1)
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