OpenML: An R Package to Connect to the Networked Machine Learning Platform OpenML

Casalicchio Giuseppe, Bossek Jakob, Lang Michel, Kirchhoff Dominik, Kerschke Pascal, Hofner Benjamin, Seibold Heidi, Vanschoren Joaquin, Bischl Bernd


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. 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



Publication type
Other

Peer reviewed
No

Publication status
Published

Year
2017

Journal
arXiv preprint

Volume
2017

DOI

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