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