OpenML: An R package to connect to the machine learning platform OpenML

Giuseppe Casalicchio (), Jakob Bossek, Michel Lang, Dominik Kirchhoff, Pascal Kerschke, Benjamin Hofner, Heidi Seibold, Joaquin Vanschoren and Bernd Bischl
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Giuseppe Casalicchio: Ludwig-Maximilians-University Munich
Jakob Bossek: University of Münster
Michel Lang: TU Dortmund University
Dominik Kirchhoff: Dortmund University of Applied Sciences and Arts
Pascal Kerschke: University of Münster
Benjamin Hofner: Paul-Ehrlich-Institut
Heidi Seibold: University of Zurich
Joaquin Vanschoren: Eindhoven University of Technology
Bernd Bischl: Ludwig-Maximilians-University Munich

Computational Statistics, 2019, vol. 34, issue 3, No 3, 977-991

Abstract: Abstract OpenML is an online machine learning platform where researchers can easily share data, machine learning tasks and experiments as well as organize them online to work and collaborate more efficiently. In this paper, we present an R package to interface with the OpenML platform and illustrate its usage in combination with the machine learning R package mlr (Bischl et al. J Mach Learn Res 17(170):1–5, 2016). We show how the OpenML package allows R users to easily search, download and upload data sets and machine learning tasks. Furthermore, we also show how to upload results of experiments, share them with others and download results from other users. Beyond ensuring reproducibility of results, the OpenML platform automates much of the drudge work, speeds up research, facilitates collaboration and increases the users’ visibility online.

Keywords: Databases; Machine learning; R; Reproducible research (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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DOI: 10.1007/s00180-017-0742-2

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