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Fork of aliastable by Paul J Sanchez. If a categorical distribution has k distinct values, traditional approaches will require O(k) work to pick an outcome with the correct probabilities. This algorithm uses conditional probability to construct a table which will yield outcomes with the correct probabilities, but in O(1) time.
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 Dependencies

Development

~> 1.10
>= 0
~> 10.0
 Project Readme

Discrete Distribution

Fork of Paul Sanchez's alias table gem with patches, an interface compatible with Array#sample, and convenience methods.

Installation

Add this line to your application's Gemfile:

gem 'discrete_distribution'

And then execute:

bundle

Or install it yourself as:

gem install discrete_distribution

Usage

Development

After checking out the repo, run bin/setup to install dependencies. Then, run rake test to run the tests.

To install this gem onto your local machine, run bundle exec rake install. To release a new version, update the version number in lib/discrete_distribution/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.

Contributing

Bug reports and pull requests are welcome on GitHub at https://github.com/scooter-dangle/discrete_distribution.

License

The gem is available as open source under the terms of the GNU Library or "Lesser" General Public License, version 2.1 (LGPL-2.1).