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Journal Articles Journal of Machine Learning Research Year : 2011

Scikit-learn: Machine Learning in Python

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Olivier Grisel
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Mathieu Blondel
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Ron Weiss
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Vincent Dubourg
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David Cournapeau
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Matthieu Brucher
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Matthieu Perrot
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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 http://scikit-learn.sourceforge.net.
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Dates and versions

hal-00650905 , version 1 (02-01-2012)
hal-00650905 , version 2 (02-03-2013)

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Cite

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