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Scikit-learn: Machine Learning in Python

Abstract : Scikit-learn is a Python module integrating a wide range of state-of-the-art machine learning algorithms for medium-scale supervised and unsupervised problems. This package focuses on bringing machine learning to non-specialists using a general-purpose high-level language. Emphasis is put on ease of use, performance, documentation, and API consistency. It has minimal dependencies and is distributed under the simplified BSD license, encouraging its use in both academic and commercial settings. Source code, binaries, and documentation can be downloaded from
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Contributor : Fabian Pedregosa <>
Submitted on : Saturday, March 2, 2013 - 9:58:17 PM
Last modification on : Monday, February 10, 2020 - 6:13:43 PM
Long-term archiving on: : Friday, May 31, 2013 - 3:54:50 AM


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  • HAL Id : hal-00650905, version 2
  • ARXIV : 1201.0490


Fabian Pedregosa, Gaël Varoquaux, Alexandre Gramfort, Vincent Michel, Bertrand Thirion, et al.. Scikit-learn: Machine Learning in Python. Journal of Machine Learning Research, Microtome Publishing, 2011. ⟨hal-00650905v2⟩



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