OpenML: An R package to connect to the machine learning platform OpenML View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2017-06-19

AUTHORS

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

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. More... »

PAGES

1-15

References to SciGraph publications

  • 2012-05. Experiment databases in MACHINE LEARNING
  • 2016. Does Feature Selection Improve Classification? A Large Scale Experiment in OpenML in ADVANCES IN INTELLIGENT DATA ANALYSIS XV
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s00180-017-0742-2

    DOI

    http://dx.doi.org/10.1007/s00180-017-0742-2

    DIMENSIONS

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