Scikit-learn: Machine Learning in Python
2012/01/31 by Fabian Pedregosa, Gaël Varoquaux, Alexandre Gramfort +16 · 184 citations
Computer Science · #cs.LG #cs.MS
paper · pdf
published as Journal of Machine Learning Research (2011) · Update authors list and URLs
arxiv created 2018/06/05 · arxiv updated 2018/06/06
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.org.
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