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Scikit-learn: Machine Learning in Python

Published: 01 November 2011 Publication History

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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Published In

cover image The Journal of Machine Learning Research
The Journal of Machine Learning Research  Volume 12, Issue
2/1/2011
3426 pages
ISSN:1532-4435
EISSN:1533-7928
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JMLR.org

Publication History

Published: 01 November 2011
Published in JMLR Volume 12

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