linfa-logistic

Crates.iolinfa-logistic
lib.rslinfa-logistic
version0.7.0
sourcesrc
created_at2020-11-29 16:47:48.872216
updated_at2023-10-16 04:49:56.313911
descriptionA Machine Learning framework for Rust
homepage
repositoryhttps://github.com/rust-ml/linfa
max_upload_size
id317819
size81,733
wg (github:rust-ml:wg)

documentation

README

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.

Commit count: 313

cargo fmt