Scikit-learn: Machine learning in Python

Journal of Machine Learning Research

Volumn 12, Issue , 2011, Pages 2825-2830

  Pedregosa, Fabian ^a   Varoquaux, Gael ^a   Gramfort, Alexandre ^a   Michel, Vincent ^a   Thirion, Bertrand ^a   Grisel, Olivier ^b   Blondel, Mathieu ^c   Prettenhofer, Peter ^d   Weiss, Ron ^e   Dubourg, Vincent ^f   Vanderplas, Jake ^g   Passos, Alexandre ^h   Cournapeau, David ⁱ   Brucher, Matthieu ^j   Perrot, Matthieu ^k   Duchesnay, Édouard ^k  

^a CEA SACLAY   (France)

^b Nuxeo   (France)

^c KOBE UNIVERSITY   (Japan)

^d BAUHAUS UNIVERSITY WEIMAR   (Germany)

^e GOOGLE INC   (United States)

^f UNIVERSITÉ CLERMONT AUVERGNE   (France)

^g UNIVERSITY OF WASHINGTON   (United States)

^h UNIVERSITY OF MASSACHUSETTS   (United States)

ⁱ Enthought   (United States)

^j CSTJF   (France)

^k DIF   (France)

more..

Author keywords

Model selection; Python; Supervised learning; Unsupervised learning

Indexed keywords

COMMERCIAL SETTINGS; EASE OF USE; MODEL SELECTION; PYTHON; SOURCE CODES;

LEARNING ALGORITHMS; LEARNING SYSTEMS;

HIGH LEVEL LANGUAGES;

EID: 80555140075     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Article

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