linfa-linear
| Crates.io | linfa-linear |
| lib.rs | linfa-linear |
| version | 0.7.1 |
| created_at | 2020-11-29 16:45:14.140477+00 |
| updated_at | 2025-01-14 15:55:24.616103+00 |
| description | A Machine Learning framework for Rust |
| homepage | |
| repository | https://github.com/rust-ml/linfa |
| max_upload_size | |
| id | 317814 |
| size | 120,857 |
wg (github:rust-ml:wg)
documentation
README
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.