Scikit-learn: Machine Learning in Python Fabian Pedregosa, Gaël Varoquaux, Alexandre Gramfort, Vincent Michel, Bertrand Thirion, Olivier Grisel, Mathieu Blondel, Peter Prettenhofer, Ron Weiss, Vincent Dubourg, et al. To cite this version: Fabian Pedregosa, Gaël Varoquaux, Alexandre Gramfort, Vincent Michel, Bertrand Thirion, et al.. Scikit-learn: Machine Learning in Python. Journal of Machine Learning Research, Microtome Pub- lishing, 2011. hal-00650905v1 HAL Id: hal-00650905 https://hal.inria.fr/hal-00650905v1 Submitted on 2 Jan 2012 (v1), last revised 2 Mar 2013 (v2) HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Journal of Machine Learning Research 12 (2011) 2825-2830 Submitted 3/11; Revised 8/11; Published 10/11 Scikit-learn: Machine Learning in Python Fabian Pedregosa
[email protected] Ga¨el Varoquaux
[email protected] Alexandre Gramfort
[email protected] Vincent Michel
[email protected] Bertrand Thirion
[email protected] Parietal, INRIA Saclay Neurospin, Bˆat 145, CEA Saclay 91191 Gif sur Yvette – France Olivier Grisel
[email protected] Nuxeo 20 rue Soleillet 75 020 Paris – France Mathieu Blondel
[email protected] Kobe University 1-1 Rokkodai, Nada Kobe 657-8501 – Japan Peter Prettenhofer
[email protected] Bauhaus-Universit¨at Weimar Bauhausstr.