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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 ei- ther 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 (approxi- mately) the logarithm of the expected risk under that category. The lowest 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 re- maining 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 poste- rior risk. In case several categories are possible, prints the first category in the order in which they appear in the cate- gories 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 specifica- tion. 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 expres- sion. To construct the actual loss matrix used in the decision calcu- lations, 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 "com- plexity" is recognized, and converted to the complexity for that cate- gory as reported by dbacl(1). Finally, if the corresponding regular expression contains submatches delimited by parentheses, their numeri- cal values can be used inside the formulas as the special variables $1, ..., $9. Note that submatches which aren't numerical are converted to the value zero. Case is important. Spaces and newlines can be liberally inserted. Com- ments 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/local/share/dbacl/doc/costs.ps for a description of the algo- rithm used. See also /usr/local/share/dbacl/doc/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 1.14.1 Bayesian Classification Tools BAYESOL(1)
NAME | SYNOPSIS | DESCRIPTION | EXIT STATUS | OPTIONS | RISK SPECIFICATION | USAGE | SOURCE | AUTHOR | SEE ALSO
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