Crate perceptron

Super fast online learning using perceptron It allows you to train your model as you go, and use an ensemble of models to make accurate predictions.

Background

Preceptron is a relatively simple and fast machine learning algorithm. It has

• no hyper parameters (no need to tune),
• good generalization properties using ensemble and
• overall good classification accuracy.

Usage

   use perceptron::*;

   fn and_works() {
       let examples = vec!((vec!(-1.0, 1.0), false), (vec!(-1.0, -1.0), false), (vec!(1.0, -1.0), false), (vec!(1.0, 1.0), true));
       let perceptron = (1..100).fold(Perceptron::new(2), 
			|pepoch, _epoch| examples.iter().fold(pepoch, 
			|pexample, example| pexample.train(example.0.clone(), example.1).unwrap()));

       println!("{:?}", perceptron);

       assert_eq!(perceptron.predict(examples[0].0.clone()), examples[0].1);
       assert_eq!(perceptron.predict(examples[1].0.clone()), examples[1].1);
       assert_eq!(perceptron.predict(examples[2].0.clone()), examples[2].1);
       assert_eq!(perceptron.predict(examples[3].0.clone()), examples[3].1);
   }

Structs

Perceptron