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.