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OpenML-Python: an extensible Python API for OpenML

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arxiv 1911.02490 v2 pith:A4DPZFIT submitted 2019-11-06 cs.LG stat.ML

Matthias Feurer , Jan N. van Rijn , Arlind Kadra , Pieter Gijsbers , Neeratyoy Mallik , Sahithya Ravi , Andreas Müller , Joaquin Vanschoren
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Frank Hutter
This is my paper
classification cs.LGstat.ML
keywords openmllearningmachinepythonexperimentsopenml-pythonresultsdatasets
verification ladder T0 review T1 audit T2 compute T3 formal
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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, opening up the OpenML platform for a wide range of Python-based 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 plugin and a plugin mechanism to easily integrate other machine learning libraries written in Python into the OpenML ecosystem. Source code and documentation is available at https://github.com/openml/openml-python/.

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