Researcher profile

Alexandre Passos

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Publications

1 research record shown

Scikit-learn: Machine Learning in Python
2012 · Open Repository and Bibliography (University of Liège) · DOI 10.48550/arxiv.1201.0490

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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Co-authors

Fabián Pedregosa

Commissariat à l'Énergie Atomique et aux Énergies Alternatives

1 shared publication
Gaël Varoquaux

Commissariat à l'Énergie Atomique et aux Énergies Alternatives

1 shared publication
Alexandre Gramfort

Commissariat à l'Énergie Atomique et aux Énergies Alternatives

1 shared publication
Vincent Michel

Commissariat à l'Énergie Atomique et aux Énergies Alternatives

1 shared publication
Bertrand Thirion

Commissariat à l'Énergie Atomique et aux Énergies Alternatives

1 shared publication
Olivier Grisel

Nuxe (France)

1 shared publication
Mathieu Blondel

Kobe University

1 shared publication
Müller, Andreas

Bauhaus-Universität Weimar

1 shared publication
Nothman, Joel

Google (Canada)

1 shared publication
Louppe, Gilles

1 shared publication
Peter Prettenhofer

University of Washington

1 shared publication
Ron J. Weiss

Amherst College

1 shared publication