Weka

Description

weka website

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. Note: We provide a weka wrapper script that calls java with the correct jar file, so you can call Weka like this: "weka weka.filters.supervised.instance.StratifiedRemoveFolds \ -i data/soybean.arff -o soybean-train.arff \ -c last -N 4 -F 1 -V

Environment Modules

Run module spider weka to find out what environment modules are available for this application.

Environment Variables

• HPC_WEKA_DIR - installation directory
• HPC_WEKA_DOC - documentation directory

Categories

statistics, machine_learning