10 releases (5 breaking)

0.7.1 Jan 14, 2025
0.7.0 Oct 16, 2023
0.6.1 Dec 3, 2022
0.6.0 Jun 15, 2022
0.2.1 Nov 29, 2020

#1723 in Machine learning

Download history 663/week @ 2024-12-06 739/week @ 2024-12-13 428/week @ 2024-12-20 272/week @ 2024-12-27 539/week @ 2025-01-03 655/week @ 2025-01-10 544/week @ 2025-01-17 381/week @ 2025-01-24 768/week @ 2025-01-31 452/week @ 2025-02-07 237/week @ 2025-02-14 359/week @ 2025-02-21 539/week @ 2025-02-28 372/week @ 2025-03-07 311/week @ 2025-03-14 205/week @ 2025-03-21

1,474 downloads per month

MIT/Apache

280KB
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

~4–15MB
~237K SLoC