This is a git mirror of the The University of Waikato machine learning project 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.

The official WEKA source code is hosted using subversion at the Waikato SVN server.

The current version of WEKA is licensed under the GNU General Public license version 3.0.

Use the weka-trunk branch to follow the official code base under active development at the University of Waikato.

It can take several hours to checkout the full svn repository and several minutes just to update with any new commits. Instead, use this repository or checkout svn2github as the best alternative that can be found at this time.