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

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • Giuseppe Casalicchio - (Author)
  • Jakob Bossek - (Author)
  • Michel Lang - , Dortmund University of Technology (Author)
  • Dominik Kirchhoff - (Author)
  • Pascal Kerschke - , University of Münster (Author)
  • Benjamin Hofner - (Author)
  • Heidi Seibold - (Author)
  • Joaquin Vanschoren - (Author)
  • Bernd Bischl - (Author)

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.

Details

Original languageEnglish
Pages (from-to)977–991
JournalComputational statistics
Volume34
Publication statusPublished - Sept 2019
Peer-reviewedYes
Externally publishedYes

External IDs

Scopus 85021070936

Keywords

Library keywords