NAME
analogize - classify data with AM from the command line
VERSION
version 3.07
SYNOPSIS
analogize --format <format> [--exemplars <file>] [--test <file>] [--project <dir>] [--print <info1,info2...>] [--help]
DESCRIPTION
Classify data with analogical modeling from the command line. Required arguments are format and either exemplars or project. You can use old AM::Parallel projects (a directory containing data and test files) or specify individual data and test files. By default, only the accuracy of the predicted outcomes is printed. More detail may be printed using the print option.
OPTIONS
- format
-
specify either commas or nocommas format for exemplar and test data files
- exemplars, data or train
-
path to the file containing the examplar/training data
- project
-
path to AM::Parallel project (ignores 'outcome' file)
- test
-
path to the file containing the test data. If none is specified, performs leave-one-out classification with the exemplar set
-
comma-separated list of reports to print. Available options are: config_info, statistical_summary, analogical_set_summary, gang_summary, and gang_detailed. See documentation in Algorithm::AM::Result for details (gang_detailed is gang_summary with list printing on).
- help or ?
-
print help message
AUTHOR
Theron Sanford <shixilun@yahoo.com>, Nathan Glenn <garfieldnate@gmail.com>
COPYRIGHT AND LICENSE
This software is copyright (c) 2013 by Royal Skousen.
This is free software; you can redistribute it and/or modify it under the same terms as the Perl 5 programming language system itself.