Scikit-learn: Machine Learning in Python
Fabián PedregosaLNAO - Laboratoire de Neuroimagerie Assistée par Ordinateur (France)Gaël VaroquauxLNAO - Laboratoire de Neuroimagerie Assistée par Ordinateur (France)Alexandre GramfortPARIETAL - Modelling brain structure, function and variability based on high-field MRI data (Neurospin, CEA Saclay, Bâtiment 145, 91191 Gif-sur-Yvette Cedex - France)Vincent MichelPARIETAL - Modelling brain structure, function and variability based on high-field MRI data (Neurospin, CEA Saclay, Bâtiment 145, 91191 Gif-sur-Yvette Cedex - France)Bertrand ThirionLNAO - Laboratoire de Neuroimagerie Assistée par Ordinateur (France)Olivier GriselNuxeo (18-20 rue Soleillet 75020 Paris - France)Mathieu BlondelKobe University (Japan)Müller, AndreasBauhaus-Universität Weimar (Geschwister-Scholl-Straße 8 99423 Weimar - Germany)Nothman, JoelGoogle Inc (Toronto - Canada)Louppe, GillesPeter PrettenhoferUniversity of Washington [Seattle] (Seattle, Washington 98105 - United States)Ron J. WeissDepartment of Mechanical and Industrial Engineering [UMass] (UMass Amherst College of Engineering Department of Mechanical and Industrial Engineering, 220 ELAB, University of Massachusetts Amherst, MA 01003-2210 - United States)Vincent DubourgEnthought Inc (515 Congress Avenue Suite 2100 Austin, TX 78701 - United States)Jake VanderplasTOTAL S.A. (France)Alexandre PassosDavid CournapeauMatthieu BrucherMatthieu PerrotÉdouard Duchesnay
2012en
ABI
Аннотация
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.
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