pmml_consumer

Ruby PMML Consumer

Generate a PMML file with your favorite machine learning library and use this gem to read the file and make prediciton in a ruby application. This gem is primarily intended to work with apache spark 1.5 PMML file, so some features from the PMML standard maybe missing.

Installation

Add this line to your application's Gemfile:

gem 'pmml_consumer'

And then execute:

$ bundle

Or install it yourself as:

$ gem install pmml_consumer

Usage

pmml_string = File.open('my_pmml_file.xml', "rb").read
predictor = PMMLConsumer.load(pmml_string)
input = { "feature1" => 1, "feature2" => "banana"}
puts predictor.predict(input)

Development

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

Contributing

Bug reports and pull requests are welcome on GitHub at https://github.com/hupi-analytics/pmml_consumer. 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.

License

The gem is available as open source under the terms of the MIT License.