Metadata-Version: 1.1
Name: KDVS
Version: 2.0.0
Summary: 
Knowledge Driven Variable Selection (KDVS) is an experimental knowledge extraction
system that utilizes statistical learning and novel data and knowledge integration
methodologies.

Home-page: http://slipguru.disi.unige.it/Research/KDVS/
Author: Grzegorz Zycinski
Author-email: g.zycinski@gmail.com
License: UNKNOWN
Description: UNKNOWN
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)
Classifier: Natural Language :: English
Classifier: Operating System :: MacOS
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: Unix
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Requires: numpy (>=1.4.0)
Requires: matplotlib (>=1.2.1)
Requires: l1l2py (==1.0.5)
