Lurn is a ruby gem for performing machine learning. The API and design patterns in Lurn are inspired by sklearn, an analogous library for Python.
Add this line to your application's Gemfile:
gem 'lurn'
And then execute:
$ bundle
Or install it yourself as:
$ gem install lurn
require 'lurn'
documents = [
'ruby is a great programming language',
'the giants recently won the world series',
'java is a compiled programming language',
'the jets are a football team'
]
labels = ['computers','sports','computers','sports']
# vectorizers take raw data and transform it to a set of features that our
# model can understand - in this case an array of boolean values representing
# the presence or absence of a word in text
vectorizer = Lurn::Text::BernoulliVectorizer.new
vectorizer.fit(documents)
vectors = vectorizer.transform(documents)
model = Lurn::NaiveBayes::BernoulliNaiveBayes.new
model.fit(vectors, labels)
new_vectors = vectorizer.transform(['programming is fun'])
probabilities = model.predict_probabilities(new_vectors.first)
# => [0.9715681919147049, 0.028431808085295614]
# get the class of the maximum probability
model.max_class(new_vectors.first)
After checking out the repo, run bin/setup
to install dependencies. Then, run rake spec
to run the tests. 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/dansbits/lurn.
The gem is available as open source under the terms of the MIT License.