linfa-lars
| Crates.io | linfa-lars |
| lib.rs | linfa-lars |
| version | 0.8.1 |
| created_at | 2025-12-23 14:13:05.051877+00 |
| updated_at | 2025-12-23 14:13:05.051877+00 |
| description | Least Angle Regression methods |
| homepage | |
| repository | https://github.com/rust-ml/linfa |
| max_upload_size | |
| id | 2001605 |
| size | 62,967 |
Rémi Lafage (relf)
documentation
README
Least Angle Regression
linfa-lars aims to provide pure Rust implementation of least-angle regression algorithm.
The Big Picture
linfa-lars 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
The linfa-lars crate currently provides an implementation of the Least-angle regression (LARS) algorithm
See also:
BLAS/Lapack backend
See this section to enable an external BLAS/LAPACK backend.
Examples
There is an usage example in the examples/ directory. To run, use:
$ cargo run --example lars
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.