linfa-linear
aims to provide pure Rust implementations of popular linear regression algorithms.
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
.
linfa-linear
currently provides an implementation of the following regression algorithms:
- Ordinary Least Squares
- Generalized Linear Models (GLM)
There is an usage example in the examples/
directory. To run, use:
$ cargo run --example diabetes
$ cargo run --example glm
See 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.