Scikit-learn: Machine Learning in Python
Commissariat à l'Énergie Atomique et aux Énergies Alternatives · CEA Paris-Saclay · +9 more institutions
Abstract
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.
Citation impact
- FWCI
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- Percentile
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- References
- 13
Authors
19- FPFabián PedregosaCorresponding
Commissariat à l'Énergie Atomique et aux Énergies Alternatives, CEA Paris-Saclay
- GVGaël Varoquaux
Commissariat à l'Énergie Atomique et aux Énergies Alternatives, CEA Paris-Saclay
- AGAlexandre Gramfort
Commissariat à l'Énergie Atomique et aux Énergies Alternatives, CEA Paris-Saclay
- VMVincent Michel
Commissariat à l'Énergie Atomique et aux Énergies Alternatives, CEA Paris-Saclay
- BTBertrand Thirion
Commissariat à l'Énergie Atomique et aux Énergies Alternatives, CEA Paris-Saclay
Topics & keywords
- Python (programming language)
- Documentation
- Computer science
- MIT License
- Artificial intelligence
- Machine learning
- Programming language
- License