Logistic Regression

The Big Picture

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.

Current state

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

Examples

There are usage examples in the examples/ directory.

To run the two-class example, use:

$ cargo run --example winequality

To run the multinomial example, use:

$ cargo run --example winequality_multi

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.

lib.rs:

Logistic Regression

The Big Picture

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.

Current state

linfa-logistic provides a pure Rust implementation of a binomial logistic regression model and a multinomial logistic regression model.

Examples

There is an usage example in the examples/ directory. To run, use:

$ cargo run --example winequality