#machine-learning #super #online

perceptron

A super fast online learning library using perceptron

2 releases

0.1.1 Feb 18, 2020
0.1.0 Feb 18, 2020

#467 in Machine learning

33 downloads per month

MIT license

8KB
62 lines

Super fast online learning using perceptron. It allows you to train your model as you go, and use an ensemble 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);
   }

Dependencies

~0.6–1.4MB
~31K SLoC