OpenML-Python: an extensible Python API for OpenML

Matthias Feurer, Jan N. van Rijn, Arlind Kadra, Pieter Gijsbers, Neeratyoy Mallik, Sahithya Ravi, Andreas Müller, Joaquin Vanschoren, Frank Hutter

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Abstract

OpenML is an online platform for open science collaboration in machine learning, used to share datasets and results of machine learning experiments. In this paper, we introduce OpenML-Python, a client API for Python, which opens up the OpenML platform for a wide range of Python-based machine learning tools. It provides easy access to all datasets, tasks and experiments on OpenML from within Python. It also provides functionality to conduct machine learning experiments, upload the results to OpenML, and reproduce results which are stored on OpenML. Furthermore, it comes with a scikit-learn extension and an extension mechanism to easily integrate other machine learning libraries written in Python into the OpenML ecosystem. Source code and documentation are available at https://github.com/openml/openml-python/.

Original languageEnglish
Number of pages5
JournalJournal of Machine Learning Research
Volume22
Publication statusPublished - 2021

Bibliographical note

Funding Information:
MF, NM and FH acknowledge funding by the Robert Bosch GmbH. AK, JvR and FH acknowledge funding by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme under grant no. 716721. JV and PG acknowledge funding by the Data Driven Discovery of Models (D3M) program run by DARPA and the Air Force Research Laboratory. The authors also thank Bilge Celik, Victor Gal and everyone listed at https://github.com/openml/openml-python/graphs/contributors for their contributions.

Publisher Copyright:
© 2021 Microtome Publishing. All rights reserved.

Keywords

  • Collaborative Science
  • Meta-Learning
  • Python
  • Reproducible Research

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