12 releases (6 breaking)
| 0.8.1 | Dec 23, 2025 |
|---|---|
| 0.8.0 | Sep 30, 2025 |
| 0.7.1 | Jan 14, 2025 |
| 0.7.0 | Oct 16, 2023 |
| 0.2.1 | Nov 29, 2020 |
#997 in Machine learning
7,516 downloads per month
Used in 6 crates
295KB
5.5K
SLoC
Linear Models
linfa-linear aims to provide pure Rust implementations of popular linear regression algorithms.
The Big Picture
linfa-linear is a crate in the linfa ecosystem, an effort to create a toolkit for classical Machine Learning implemented in pure Rust, akin to Python's scikit-learn.
Current state
linfa-linear currently provides an implementation of the following regression algorithms:
- Ordinary Least Squares
- Generalized Linear Models (GLM)
Examples
There is an usage example in the examples/ directory. To run, use:
$ cargo run --example diabetes
$ cargo run --example glm
BLAS/Lapack backend
See this section to enable an external BLAS/LAPACK backend.
License
Dual-licensed to be compatible with the Rust project.
Licensed under the Apache License, Version 2.0 http://www.apache.org/licenses/LICENSE-2.0 or the MIT license http://opensource.org/licenses/MIT, at your option. This file may not be copied, modified, or distributed except according to those terms.
Dependencies
~4–14MB
~216K SLoC