linfa-bayes 0.3.1

Collection of Naive Bayes Algorithms
Documentation

Naive Bayes

linfa-bayes aims to provide pure Rust implementations of Naive Bayes algorithms.

The Big Picture

linfa-bayes 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-bayes currently provides an implementation of the following methods:

  • Gaussian Naive Bayes (GaussianNB)

Examples

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

$ cargo run --example winequality

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.