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](https://en.wikipedia.org/wiki/Perceptron) 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

```rust
   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);
   }
```