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. The example uses a BLAS backend, to run it and use the intel-mkl library do:

bash $ cargo run --example pls_regression --features linfa/intel-mkl-system

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.