Crates.io | linfa-logistic |
lib.rs | linfa-logistic |
version | 0.7.0 |
source | src |
created_at | 2020-11-29 16:47:48.872216 |
updated_at | 2023-10-16 04:49:56.313911 |
description | A Machine Learning framework for Rust |
homepage | |
repository | https://github.com/rust-ml/linfa |
max_upload_size | |
id | 317819 |
size | 81,733 |
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
To run the multinomial example, use:
$ cargo run --example winequality_multi
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.