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JD557 committed Feb 21, 2016
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12 changes: 12 additions & 0 deletions .gitignore
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.history
*~
.DS_Store
.dir-locals.el
.ensime
.ensime_cache
.idea
.idea_modules
.lib
.sbtrc
.vagrant
target/
20 changes: 8 additions & 12 deletions Description.props
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# Template Description file for a Weka package
#
#

# Package name (required)
PackageName=oAdaBoost
PackageName=OrdinalEnsembleMethods

# Version (required)
Version=1.0.0

#Date
Date=2016-02-14
Date=2016-02-21

# Title (required)
Title=Multiple methods for ordinal classification

Category=Classification

# Author (required)
Author=João Costa
Author=Joao Costa

# Maintainer (required)
Maintainer=João Costa <ei09008@fe.up.pt>
Maintainer=Joao Costa <ei09008@fe.up.pt>

# License (required)
License=GPL 3.0

# Description (required)
Description=Multiple methods for ordinal classification implemented during my master thesis.<br/>For more information: João Costa, Ricardo Sousa, Jaime Cardoso: Ensemble Methods in Ordinal Data Classification
Description=Multiple methods for ordinal classification implemented during my master thesis.<br/>For more information: Joao Costa, Ricardo Sousa, Jaime Cardoso: Ensemble Methods in Ordinal Data Classification<bt/>Includes:<ul><li>oAdaBoost</li><li>AdaBoost.OR</li><li>AdaBoost.M1w</li><li>oDT</li><li>Ordinal Random Forests</li></ul>

# Package URL for obtaining the package archive (required) TODO
PackageURL=http://github.com/JD557
# Package URL for obtaining the package archive (required)
PackageURL=https://github.com/JD557/weka-emiodc/releases

# URL for further information
URL=http://github.com/JD557
URL=http://github.com/JD557/weka-emiodc

# Dependencies
Depends=weka (>=3.7.7)
9 changes: 9 additions & 0 deletions README.md
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Expand Up @@ -4,3 +4,12 @@ Ensemble Methods in Ordinal Classification
This repository contains the implementation of the various algorithms presented
in [Ensemble Methods in Ordinal Data Classification](https://repositorio-aberto.up.pt/handle/10216/73795?locale=en)
for Weka 3.7.

Included Algorithms:
--------------------

* oAdaBoost: [oAdaBoost: An AdaBoost variant for Ordinal Data Classification](http://joaocosta.eu/Portfolio/docs/pubs/oAdaboost2015.pdf)
* AdaBoost.OR: [Combining ordinal preferences by boosting](https://www.csie.ntu.edu.tw/~htlin/paper/doc/wspl09adaboostor.pdf)
* AdaBoost.M1w: [How to make AdaBoost.M1 work for weak base classifiers by changing only one line of the code](http://www.en-trust.at/eibl/wp-content/uploads/sites/3/2013/08/Eibl02_ECML_AdaBoostM1W.pdf)
* oDT: [Ensemble Methods in Ordinal Data Classification](https://repositorio-aberto.up.pt/bitstream/10216/73795/2/99372.pdf)
* Ordinal Random Forests: [Ensemble Methods in Ordinal Data Classification](https://repositorio-aberto.up.pt/bitstream/10216/73795/2/99372.pdf)
2 changes: 1 addition & 1 deletion build.sbt
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name := "oAdaboost"
name := "EMiODC"

version := "1.0"

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