SlipGURU Dipartimento di Informatica e Scienze dell'Informazione Università Degli Studi di Genova

Knowledge Driven Variable Selection documentation

Release:2.0
Date:March 06, 2014
Homepage:http://slipguru.disi.unige.it/Research/KDVS/

Knowledge Driven Variable Selection (KDVS) provides experimental integration of numerical data and related prior knowledge, to confirm existing statistically significant relations between data bits (suggested by prior knowledge), and to discover new ones. It uses statistical learning algorithms developed by SlipGURU research group at Dipartimento di Informatica, Bioingegneria, Robotica ed Ingegneria dei Sistemi (DIBRIS), Università degli Studi di Genova, Italy.

KDVS is licensed under GNU General Public License (GPL) version 3.

KDVS requires the following environment(s):
  • Python v2.6+

KDVS has not been tested with Python 3.

It also requires the following Python packages:
  • numpy – v1.4.0+
  • matplotlib – v1.2.1+ (TODO: check on P2.6!!!)
  • l1l2py – v1.0.5

Contents:

Download

svs-1.0.0-alpha

Latest documentation in pdf is also available.