Treffer: Scikit-learn: Machine Learning in Python
Title:
Scikit-learn: Machine Learning in Python
Authors:
Pedregosa, Fabian, Varoquaux, Gaël, Gramfort, Alexandre, Michel, Vincent, Thirion, Bertrand, Grisel, Olivier, Blondel, Mathieu, Müller, Andreas, Nothman, Joel, Louppe, Gilles, Prettenhofer, Peter, Weiss, Ron, Dubourg, Vincent, Vanderplas, Jake, Passos, Alexandre, Cournapeau, David, Brucher, Matthieu, Perrot, Matthieu, Duchesnay, Édouard
Source:
Journal of Machine Learning Research (2011)
Publication Year:
2012
Collection:
Computer Science
Subject Terms:
Document Type:
Report
Working Paper
Access URL:
Accession Number:
edsarx.1201.0490
Database:
arXiv
Weitere Informationen
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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