linfa-logistic 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-logistic provides pure Rust implementations of two-class and multinomial logistic regression models.

There are usage examples in the examples/ directory.

To run the two-class example, use:

$ cargo run --example winequality_logistic

To run the multinomial example, use:

$ cargo run --example winequality_multi_logistic

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.