scikit-learn
Python library for machine learning / From Wikipedia, the free encyclopedia
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scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library for the Python programming language.[3] It features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy. Scikit-learn is a NumFOCUS fiscally sponsored project.[4]
Quick Facts Original author(s), Initial release ...
Original author(s) | David Cournapeau |
---|---|
Initial release | June 2007; 16 years ago (2007-06) |
Stable release | |
Repository | |
Written in | Python, Cython, C and C++[2] |
Operating system | Linux, macOS, Windows |
Type | Library for machine learning |
License | New BSD License |
Website | scikit-learn |
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