You are here:

CHPC Software: Weka

Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.

Weka is open source software issued under the GNU General Public License

  • Version: 3.8.1
  • Machine: all clusters
  • Location: /uufs/chpc.utah.edu/sys/installdir/weka/

 To set environment do

module load weka
Last Updated: 1/30/19