[en] 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.
Disciplines :
Computer science
Author, co-author :
Pedregosa, Fabian
Varoquaux, Gaël
Gramfort, Alexandre
Michel, Vincent
Thirion, Bertrand
Grisel, Olivier
Blondel, Mathieu
Müller, Andreas
Nothman, Joel
Louppe, Gilles ; Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Big Data