KeplerWeka is a module for the open-source scientific workflow Kepler providing the full functionality of the WEKA Machine Learning workbench. It is developed by Peter Reutemann at the Machine Learning Group of the University of Waikato.

The last release of KeplerWeka is integrated into the new Kepler 2.x build framework.

Kepler is designed to help scien­tists, analysts, and computer programmers create, execute, and share models and analyses across a broad range of scientific and engineering disciplines.  Kepler can operate on data stored in a variety of formats, locally and over the internet, and is an effective environment for integrating disparate software components, such as merging “R” scripts with compiled “C” code, or facilitating remote, distributed execution of models. Using Kepler‘s graphical user interface, users simply select and then connect pertinent analytical components and data sources to create a “scientific workflow”—an executable representation of the steps required to generate results. The Kepler software helps users share and reuse data, workflows, and compo­nents developed by the scientific community to address common needs.

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