The perceptron is a linear binary classifier. Given enough linearly separable data, it can find a decision boundary that allows predictions about unseen data.

Add this line to your application's Gemfile:

gem 'perceptron'

And then execute:

$ bundle

Or install it yourself as:

$ gem install perceptron

Instantiate a new Perceptron with the desired number of features to track.

Perceptron.create(features_number)

The perceptron accepts a hash of the form {:vector => Vector[...], :expected => number} as training input.

Perceptron.train({:vector => Vector[0, 1, 0, 1], :expected => 0})

To make a prediction just write

Perceptron.predict(Vector[0,3,6,7])

After checking out the repo, run bin/setup to install dependencies. You can also run bin/console for an interactive prompt that will allow you to experiment.

To install this gem onto your local machine, run bundle exec rake install. To release a new version, update the version number in version.rb, and then run bundle exec rake release, which will create a git tag for the version, push git commits and tags, and push the .gem file to rubygems.org.

Bug reports and pull requests are welcome on GitHub at https://github.com/terminalobject/perceptron.

• Alessandro Noiato - https://github.com/terminalobject
• Alistair Kung - https://github.com/alistairkung
• Corina Gheorge - https://github.com/corina
• Jini M. Coroneo - https://github.com/jinimcoroneo
• Tom Scanlon - https://github.com/tbscanlon

The gem is available as open source under the terms of the MIT License.