DKPro Lab

DKPro Lab is a lightweight framework for parameter sweeping experiments. It allows to set up experiments consisting of multiple interdependent tasks in a declarative manner with minimal overhead. Parameters are injected into tasks using via annotated class fields. Data produced by a task for any particular parameter configuration is stored and re-used whenever possible to avoid the needless recalculation of results. Reports can be attached to each task to post-process the experimental results and present them in a convenient manner, e.g. as tables or charts.

Downloads

The source code is provided under the Apache Software License (ASL) version 2.

Publications

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A Lightweight Framework for Reproducible Parameter Sweeping in Information Retrieval
Richard Eckart de Castilho and Iryna Gurevych
In: Maristella Agosti and Nicola Ferro and Costantino Thanos: Proceedings of the 2011 workshop on Data infrastructurEs for supporting information retrieval evaluation, vol. DESIRE '11, p. 7-10, ACM, October 2011. ISBN 978-1-4503-0952-3.
http://doi.acm.org/10.1145/2064227.2064248.

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