combineSVM - generate a SVM model from good and bad examples
combineSVM --jobname <name> [--good <good-file>] [--bad <bad-file>] [--train <model-file>] [--help]
OPTIONS AND ARGUMENTS
jobname is used to find the appropriate configuration (mandatory)
good is the name of a file with good URLs, one per line. Default 'goodURL.txt'
bad is the name of a file with bad URLs, one per line. Default 'badURL.txt'
train is the name of the file where the trained SVM model will be stored. Default 'SVMmodel.txt'
Takes two files, one with positive examples (good) and one with negative examples (bad) and trains a SVM classifier using these. The resulting model is stored in the file <train>.
The example files should contain one URL per line and nothing else.
Combine configuration documentation in /usr/share/doc/combine/.
Ignacio Garcia Dorado Anders Ardö, <email@example.com>
COPYRIGHT AND LICENSE
Copyright (C) 2008 Ignacio Garcia Dorado, Anders Ardö
This library is free software; you can redistribute it and/or modify it under the same terms as Perl itself, either Perl version 5.8.4 or, at your option, any later version of Perl 5 you may have available.
See the file LICENCE included in the distribution at http://combine.it.lth.se/
1 POD Error
The following errors were encountered while parsing the POD:
- Around line 150:
Non-ASCII character seen before =encoding in 'Ardö,'. Assuming ISO8859-1