Crate rusty_ai

Rusty-ai

rusty-ai provides implementations of various classification and regression algorithms using Rust. It also contains some utility functions for data manipulation and metrics.

Getting Started

To use rusty-ai, add the following to your Cargo.toml file:

[dependencies]
rusty-ai = "*"

Example Usage

As a quick example, here’s how you can use rusty-ai to train a gaussian naive bayes classifier on an example dataset:

use rusty_ai::bayes::gaussian::*;
use rusty_ai::data::dataset::*;
use nalgebra::{DMatrix, DVector};

let x = DMatrix::from_row_slice(4, 2, &[1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0]);
let y = DVector::from_vec(vec![0, 0, 1, 1]);

let dataset = Dataset::new(x, y);

let mut model = GaussianNB::new();

model.fit(&dataset).unwrap();

let test_x = DMatrix::from_row_slice(2, 2, &[1.0, 2.0, 3.0, 4.0]);

let predictions = model.predict(&test_x).unwrap();

Modules

• bayes
  Naive Bayes Classifiers
• data
  Dataset and data manipulation utilities
• forests
  Random Forests
• metrics
  Functions for evaluating model performance
• regression
  Regression analysis algorithms
• trees
  Decision trees