Description.props

# Template Description file for a Weka package
#
# 

# Package name (required)
PackageName=WiSARD

# Version (required)
Version=1.0.1

#Date
Date=2018-09-19

# Title (required)
Title=multi-class classifier using the WiSARD weightless neural network model.

Category=Classification

# Author (required)
Author=Maurizio Giordano

# Maintainer (required)
Maintainer=Maurizio Giordano <maurizio.giordano@cnr.it>

# License (required)
License=GPL 3.0

# Description (required)
Description= A multi-class classification method based on the WiSARD weightless neural model.<br/><br/>A data-preprocessing filter allows to exploit WiSARD neural model training/classification capabilities on multi-attribute numeric data, whereas  WiSARD's  was historically restricted to binary pattern recognition.<br/><br/>For more information, see<br/><br/>De Gregorio M, Giordano, M. (2018). An experimental evaluation of weightless neural networks for multi-class classification. Applied Soft Computing. Vol.72.

# Package URL for obtaining the package archive (required)
PackageURL=https://github.com/giordamaug/WiSARD4WEKA/releases/download/v.1.0.1/WiSARD.zip

# URL for further information
URL=https://github.com/giordamaug/WiSARD4WEKA

# Enhances various other packages ?
# Enhances=packageName1,packageName2,...

# Related to other packages?
#Related=WrapperSubsetEval

# Dependencies
Depends=weka (>=3.7.1)