arXiv (Cornell University)· 2012
Scikit-learn: Machine Learning in Python
- 63,878citations
- 2012year
Short summary
Scikit-learn is a new Python module that integrates a wide range of machine learning algorithms for medium-scale problems, designed for non-specialists.
AI-generated from the title and abstract; the full text is not read.
Key points
- Integrates a wide range of state-of-the-art machine learning algorithms.
- Focuses on medium-scale supervised and unsupervised problems.
- Designed for non-specialists with emphasis on ease of use and API consistency.
- Has minimal dependencies and is distributed under the simplified BSD license.
AI-generated from the title and abstract; the full text is not read.
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.
The authors' abstract, as published at the source. arXiv (Cornell University), 2012 · DOI ↗
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Field: Artificial Intelligence
Artificial IntelligenceComputer Science