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.
- Publication:
-
Journal of Machine Learning Research
- Pub Date:
- October 2011
- DOI:
- arXiv:
- arXiv:1201.0490
- Bibcode:
- 2011JMLR...12.2825P
- Keywords:
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- Python;
- supervised learning;
- unsupervised learning;
- model selection;
- Computer Science - Machine Learning;
- Computer Science - Mathematical Software
- E-Print:
- Update authors list and URLs