ML Distance

This Rust crate is based on the paper Comprehensive Survey on Distance/Similarity Measures between Probability Density Functions and implemented to port the ml-distance pkg from js/ts to rust.

Usage

Run the following Cargo command in your project directory:

cargo add ml-distance

Or add the following line to your Cargo.toml:

ml-distance = "^1.0.0"

And then use it in your code like this:

Note: The distances and similarities are implemented for all types that implement the Into\<f64\> trait. (e.g. f64, i32, u32, i64, ...)

use ml_distance::distance;

let p: [f64; 3] = [0.000, 1.700, 2.350];
let q: [f64; 3] = [0.300, 1.700, 1.001];

let dist = distance::euclidean(&p, &q);
assert_eq!(dist, 1.3819554985599212);

Or for similarityies

use ml_distance::similarity;

let p = vec![0, 1, 2, 1, 1, 3];
let q = vec![0, 1, 1, 5, 9, 3];

let dist = similarity::cosine(&p, &q);
assert_eq!(dist, 0.6009252125773316);

Distances Implemented

Similarities Implemented