linfa-pls
| Crates.io | linfa-pls |
| lib.rs | linfa-pls |
| version | 0.7.0 |
| source | src |
| created_at | 2021-04-28 15:58:17.690026 |
| updated_at | 2023-10-16 04:51:02.499783 |
| description | Partial Least Squares family methods |
| homepage | |
| repository | https://github.com/rust-ml/linfa |
| max_upload_size | |
| id | 390630 |
| size | 101,385 |
wg (github:rust-ml:wg)
documentation
README
Partial Least Squares
linfa-pls provides a pure Rust implementation of the partial least squares algorithm family.
The Big Picture
linfa-pls 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-pls currently provides an implementation of the following methods:
- Partial Least Squares
Examples
There is an usage example in the examples/ directory. To run it, use:
$ cargo run --example pls_regression
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.