Scikit-learn: Machine Learning in Python
Why is this work in the frame?
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
The record
- Venue
- arXiv (Cornell University)
- Topic
- Computational Physics and Python Applications
- Field
- Computer Science
- Canadian institutions
- Google (Canada)
- Funders
- —
- Keywords
- Python (programming language)DocumentationComputer scienceMIT LicenseArtificial intelligenceMachine learningProgramming languageLicenseSoftware engineeringOperating system
- Has abstract in OpenAlex
- yes