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Linear Classifiers
Linear classifiers group items based on the value of the linear combinations of features.
Within the Rust ecosystem, you can find a few libraries ranging from naive Bayes implementations to support vector machines. These resources can help you get started:
- Naive Bayes Classifiers in Rust - Implementing a naive Bayes model using rusty-machine
- Spam or Ham? - Building your first classifier using rustlearn
rusty-machine [ crate · repo · docs ]
A machine learning library.
Last Commit: 14 Feb 2020
Last Published: 06 Jan 2017
Contributors: 20
Open Issues: 46
rustlearn [ crate · repo · docs ]
A machine learning package for Rust.
Last Commit: 21 Jun 2020
Last Published: 29 Jul 2018
Contributors: 8
Open Issues: 8
smartcore [ crate · repo · docs ]
The most advanced machine learning library in rust.
Last Commit: 19 Nov 2020
Last Published: 26 Sep 2020
Contributors: 4
Open Issues: 10
classifier [ crate · repo · docs ]
Naive Bayes classifier
Last Commit: 11 Apr 2015
Last Published: 11 Dec 2015
Contributors: 1
Open Issues: 0
outbrain/fwumious_wabbit [ repo · ]
Fast logistic regression and field-aware factorization machines in Rust
License: BSD
Last Commit: 17 Nov 2020
Contributors: 2
Open Issues: 1
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