Scikit-learn: Machine Learning in Python

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.

Keywords

Python (programming language)DocumentationComputer scienceMIT LicenseArtificial intelligenceMachine learningProgramming languageLicenseSoftware engineeringOperating system

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Publication Info

Year: 2012
Type: preprint
Citations: 62986
Access: Closed

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APA Style

                            
                                    Fabián Pedregosa, 
                                
                                    Gaël Varoquaux, 
                                
                                    Alexandre Gramfort
                                
                                et al.
                            
                            (2012). 
                            Scikit-learn: Machine Learning in Python. 
                            arXiv (Cornell University)
                            
                            .
                            https://doi.org/10.48550/arxiv.1201.0490

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DOI: 10.48550/arxiv.1201.0490

Data Quality

Data completeness: 77%