Software

We would like to introduce the new version 2.0.1 of YALE (Yet Another Learning Environment) to you:

http://yale.cs.uni-dortmund.de

YALE is a flexible and modular environment for machine learning experiments and data mining applications. The experimental setup can be easily described in a simple XML format or designed with the intuitive graphical user interface (GUI). The new features include:

• GUI mode and batch mode
• Can be easily extended and integrated into your own application
• 63 different operators for training, validation, feature selection and generation, and preprocessing plus 50 classifiers, clusterers and association learners available from the Weka package
• Weka is completely integrated, no need for additional downloads any more
• New operators: feature weighting, concept drift, UPGMA tree clusterer, multi class learning
• Several data formats including arff, csv, and sparse plus database access
• Online 2D and 3D plotting of performance and other results
• Support for external plug-ins

Application fields: classification and regression tasks, feature selection, generation, and extraction, concept drift, time series analysis, and text mining.

YALE is a freely available open source software under the terms of the GNU General Public License. Since YALE is entirely written in Java, it runs on any major platform/operating system. You are welcome to use it!

Best regards,

Simon Fischer, Ingo Mierswa, Oliver Ritthoff, and Ralf Klinkenberg