Information

Official site

https://scikit-learn.org/stable/index.html

License

BSD license
Availability Unix/Linux (Environment in which Python can be used.)
Core Developers Fabian Pedregosa, Gael Varoquaux, Alexandre Gramfort, Vincent Michel, and other many contributors (see this page)
Target substance/model Data classification, data regression, clustering
Methodology Machine learning, data mining, data analysis
Parallelization Parallel computation is supported. The number of parallel jobs can be described by a parameter.
Related keywords
Document
  1. F. Pedregosa, G. Varoquaux, A. Gramfort, B. Michel, B. Thirion, O. Grisel, M. Blondel, P. Prettenhofer, R. Weiss, V. Dubourg, J. Vanderplas, A. Passos, D. Cournapeau, M. Brucher, M. Perrot, E. Duchesnay, Journal of Machine Learning Research 12, 2825 (2011).
  2. L. Buitinck, G. Louppe, M. Blondel, F. Pedregosa, A. Mueller, O. Grisel, V. Niculae, P. Prettenhofer, A. Gramfort, J. Grobler, R. Layton, J. VanderPlas, A. Joly, B. Holt and G. Varoquaux, ECML PKDD Workshop: Languages for Data Mining and Machine Learning p.108 (2013).
Other Implemented on Python numerical libraries, Numpy and SciPy. Some core algorithms, which needs fast operation, are written by Cython. BLAS and LAPACK are needed.