Outlier Detection with One-class SVM
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README.md

Hazure

Build Status Code Climate

Outlier Detection with One-class SVM

Installation

Add this line to your application's Gemfile:

gem 'hazure'

And then execute:

$ bundle

Or install it yourself as:

$ gem install hazure

Usage

detector = Hazure::Detector.new([[1,0,0], [1,0,0]])

detector.outlier?([1, 0, 0])
# => false

detector.outlier?([10, 0, 0])
# => true

Development

After checking out the repo, run bin/setup to install dependencies. Then, 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 to create a git tag for the version, push git commits and tags, and push the .gem file to rubygems.org.

Contributing

  1. Fork it ( https://github.com/holidayworking/hazure/fork )
  2. Create your feature branch (git checkout -b my-new-feature)
  3. Commit your changes (git commit -am 'Add some feature')
  4. Push to the branch (git push origin my-new-feature)
  5. Create a new Pull Request