linfa-linear 0.6.0

A Machine Learning framework for Rust
Documentation

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.