smartCore
 | |
| Developer(s) | SmartCore Developers |
|---|---|
| Initial release | September 2020 |
| Stable release | 0.1.0
/ 25 September 2020[1] |
| Written in | Rust |
| Engine | |
| Operating system | Linux, macOS, Windows |
| Type | Library for machine learning |
| License | Apache 2.0 |
| Website | smartcorelib |
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SmartCore is a free software machine learning library for the Rust programming language. It contains various classification, regression and clustering algorithms including linear models, random forests, decision trees, k-means and is designed to interoperate with the Rust numerical and scientific libraries.
Overview
The SmartCore project started from a single implementation of a K-nearest neighbors algorithm and quickly grew to include a good number of algorithms. The project's goal is to provide a complete, numerically stable and fast implementation of algorithms and techniques used in machine learning.
Implementation
SmartCore is written in Rust and is designed to be compatible with 3rd-party software for linear algebra.
References
External links
SmartCore, first attempt
This article "SmartCore" is from Wikipedia. The list of its authors can be seen in its historical and/or the page Edithistory:SmartCore. Articles copied from Draft Namespace on Wikipedia could be seen on the Draft Namespace of Wikipedia and not main one.
