A fast implementation of the naive Bayes classification algorithm. Written in C++ with an interface for Ruby using Rice.
Performs text classification with no separate training step needed, the cost of training is split between classification and observation. This is especially useful when data is an online stream, as the system can gradually improve.
FastBayes supports any number of classes and they don't need to be added in advance.
Add this line to your application's Gemfile:
gem 'fast_bayes'And then execute:
$ bundle
Or install it yourself as:
$ gem install fast_bayes
[1] pry(main)> require 'fast_bayes'
=> true
[2] pry(main)> b = FastBayes.new
=> #<FastBayes:0x00000002cb5d98>
[3] pry(main)> b.observe "This sentence is good", "Good"
=> nil
[4] pry(main)> b.observe "This sentence is bad", "Bad"
=> nil
[5] pry(main)> b.classify "good stuff"
=> "Good"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/Coolnesss/fast-bayes.
The gem is available as open source under the terms of the MIT License.