A pure ruby implementation of a variety of machine learning algorithms. This grew out of my own miniature library I developed for CS 5450.
Add this line to your application's Gemfile:
gem 'machine_learning'And then execute:
$ bundle
Or install it yourself as:
$ gem install machine_learning
- Gather some data and instantiate an Example for each one.
- Set the acceptable labels :
MachineLearning::Classifier.acceptable_labels = your_acceptable_labels - Instantiate the classifier of your choice and do what you want
You can also design your own classifier and include it--just extend the MachineLearning::Classifier class and implement the constructor and guess_for method.
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/cincospenguinos/machine_learning. This project is intended to be a safe, welcoming space for collaboration, and contributors are expected to adhere to the Contributor Covenant code of conduct.
The gem is available as open source under the terms of the MIT License.
Everyone interacting in this project’s codebases, issue trackers, chat rooms and mailing lists is expected to follow the code of conduct.