KDnuggets : News : 2003 : n20 : item8 < PREVIOUS | NEXT >


From: Ingo Mierswa
Date: 23 Oct 2003
Subject: Yale (Yet Another Learning Environment) version 2.0.1

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


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

KDnuggets : News : 2003 : n20 : item8 < PREVIOUS | NEXT >

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