LGMLNov 6, 2019

OpenML-Python: an extensible Python API for OpenML

arXiv:1911.02490v2119 citationsHas Code
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This tool facilitates open science collaboration by integrating Python-based machine learning tools with the OpenML ecosystem, making it more accessible for researchers and practitioners.

The paper introduces OpenML-Python, a Python API that provides easy access to datasets, tasks, and experiments on the OpenML platform, enabling users to conduct, upload, and reproduce machine learning experiments from within Python.

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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