Scikit-learn
| Original author(s) | David Cournapeau |
|---|---|
| Stable release | 0.9
|
| Repository | |
| Written in | Python (parts in Cython, C and C++) |
| Operating system | Linux, Mac OS X, Microsoft Windows |
| Type | Machine learning |
| License | BSD License |
| Website | http://scikit-learn.org/ |
scikit-learn (formerly also scikits.learn) is an open source machine learning library for the Python programming language. It features various classification, regression and clustering algorithms including support vector machines, logistic regression, naive Bayes, k-means and DBSCAN, and is designed to interoperate with NumPy and SciPy.
scikit-learn is under active development, sponsored by INRIA and occasionally Google (through the Google Summer of Code).
See also
- Orange -- competing Python toolkit