https://github.com/slipguru/kdvs
https://github.com/slipguru/kdvs
Last synced: 8 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/slipguru/kdvs
- Owner: slipguru
- License: gpl-3.0
- Created: 2017-03-28T07:25:34.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2017-03-28T08:05:49.000Z (over 8 years ago)
- Last Synced: 2025-01-11T08:29:57.971Z (9 months ago)
- Language: Python
- Size: 39 MB
- Stars: 2
- Watchers: 4
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README
- Changelog: CHANGELOG
- License: LICENSE
Awesome Lists containing this project
README
Overview
--------
Knowledge Driven Variable Selection (KDVS) is an experimental knowledge extraction
system that utilizes statistical learning and novel data and knowledge integration
methodologies.
Licensing
---------
Knowledge Driven Variable Selection (KDVS)
Copyright (C) 2014 KDVS Developers. All rights reserved.
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see .
Authors
-------
See CONTRIBUTORS for full authors list.
The current maintainer is Grzegorz Zycinski .
Installation
------------
KDVS can be tried immediately without prior installation. Refer to 'Quick Start' below.
KDVS can be installed as Python module with the following command:
python setup.py install
Note that the documentation and examples are not copied.
Documentation
-------------
See doc/_build/html/index.html
Quick Start
-----------
(*) Linux/OSX
Lets assume the KDVS source archive has been unpacked to:
~/KDVS2.0
where '~' indicates the home directory of current user.
Lets execute the example experiment GSE7390. See also 'examples/GSE7390/README'
for more information.
For running KDVS experiment, the results must be stored in writable output directory.
Lets create one:
> mkdir ~/KDVS2.0-results
The experiment can be executed with the following command:
> cd ~/KDVS2.0
> python wrapper.py kdvs/bin/experiment.py -c examples/GSE7390/GSE7390_cfg.py -o ~/KDVS2.0-results
After some minutes, if the run was successful and no error has been reported,
the root output directory ('KDVS_output') and log file ('kdvs.log') shall be
present in the output directory:
> ls ~/KDVS2.0-results
kdvs.log KDVS_output
IMPORTANT NOTE: KDVS does not overwrite output files and directories. Therefore
the log file ('kdvs.log') and root output directory ('KDVS_output') must be
deleted manually each time the experiment is run with the same output directory.