6 releases (3 breaking)

0.7.0 Oct 16, 2023
0.6.1 Dec 3, 2022
0.6.0 Jun 15, 2022
0.5.1 Mar 1, 2022
0.4.0 Apr 28, 2021

#974 in Machine learning

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517 downloads per month
Used in 4 crates (3 directly)

MIT/Apache

260KB
5K SLoC

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.

Dependencies

~5–15MB
~232K SLoC