Taking machine learning research online with OpenML

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Joaquin Vanschoren, Jan N. Rijn, Bernd Bischl ;
Proceedings of the 4th International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, PMLR 41:1-4, 2015.

Abstract

OpenML is an online platform where scientists can automatically log and share machine learning data sets, code, and experiments, organize them online, and build directly on the work of others. It helps to automate many tedious aspects of research, is readily integrated into several machine learning tools, and offers easy-to-use APIs. It also enables large-scale and real-time collaboration, allowing researchers to share their very latest results, while keeping track of their impact and reuse. The combined and linked results provide a wealth of information to speed up research, assist people while analyzing data, or automate the process altogether.

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