linfa-pls provides a pure Rust implementation of the partial least squares algorithm family.
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.
linfa-pls currently provides an implementation of the following methods:
- Partial Least Squares
There is an usage example in the examples/ directory. To run it, use:
$ cargo run --example pls_regressionSee this section to enable an external BLAS/LAPACK backend.
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.