scikit-learn

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scikit-learn
Scikit-learn logo.png
Original author(s) David Cournapeau
Initial release June 2007; 9 years ago (2007-06)
Stable release
0.18.1 / 11 November 2016; 5 months ago (2016-11-11)[1]
Repository github.com/scikit-learn/scikit-learn
Written in Python, Cython, C and C++
Operating system Linux, macOS, Windows
Type Library for machine learning
License BSD License
Website scikit-learn.org

Scikit-learn (formerly scikits.learn) is a free software machine learning library for the Python programming language.[2] It features various classification, regression and clustering algorithms including support vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy.

Overview[edit]

The scikit-learn project started as scikits.learn, a Google Summer of Code project by David Cournapeau. Its name stems from the notion that it is a "SciKit" (SciPy Toolkit), a separately-developed and distributed third-party extension to SciPy.[3] The original codebase was later rewritten by other developers. Of the various scikits, scikit-learn as well as scikit-image were described as "well-maintained and popular" in November 2012.[4]

As of 2017, scikit-learn is under active development.[5]

Implementation[edit]

Scikit-learn is largely written in Python, with some core algorithms written in Cython to achieve performance. Support vector machines are implemented by a Cython wrapper around LIBSVM; logistic regression and linear support vector machines by a similar wrapper around LIBLINEAR.

Version History[edit]

Scikit-learn was initially developed by David Cournapeau as a Google summer of code project in 2007. Later Matthieu Brucher joined the project and started to use it as a part of his thesis work. In 2010 INRIA[6] got involved and the first public release (v0.1 beta) was published in late January 2010.

  • September 2016. scikit-learn 0.18.0
  • November 2015. scikit-learn 0.17.0[7]
  • March 2015. scikit-learn 0.16.0[7]
  • July 2014. scikit-learn 0.15.0[7]
  • August 2013. scikit-learn 0.14[7]

See also[edit]

References[edit]

  1. ^ "scikit-learn 0.18.1". Python Package Index. 
  2. ^ Fabian Pedregosa; Gaël Varoquaux; Alexandre Gramfort; Vincent Michel; Bertrand Thirion; Olivier Grisel; Mathieu Blondel; Peter Prettenhofer; Ron Weiss; Vincent Dubourg; Jake Vanderplas; Alexandre Passos; David Cournapeau; Matthieu Perrot; Édouard Duchesnay (2011). "Scikit-learn: Machine Learning in Python". Journal of Machine Learning Research. 12: 2825–2830. 
  3. ^ Dreijer, Janto. "scikit-learn". 
  4. ^ Eli Bressert (2012). SciPy and NumPy: an overview for developers. O'Reilly. p. 43. 
  5. ^ "About Us". Retrieved 23 November 2016. 
  6. ^ "French Institute for Research in Computer Science and Automation". Wikipedia. 2017-01-21. 
  7. ^ a b c d "Release history — scikit-learn 0.19.dev0 documentation". scikit-learn.org. Retrieved 2017-02-27. 

External links[edit]