Python(编程语言)
文档
计算机科学
人工智能
麻省理工许可证
机器学习
程序设计语言
许可证
软件工程
操作系统
作者
Fabián Pedregosa,Gaël Varoquaux,Alexandre Gramfort,Vincent Michel,Bertrand Thirion,Olivier Grisel,Mathieu Blondel,Peter Prettenhofer,Ron J. Weiss,Vincent Dubourg,Jake Vanderplas,Alexandre Passos,David Cournapeau,Matthieu Brucher,Marc de Perrot,Édouard Duchesnay
出处
期刊:Cornell University - arXiv
日期:2012-01-01
被引量:38485
标识
DOI:10.48550/arxiv.1201.0490
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI