PredictionIO is an open source machine learning framework for developers and data scientists. It supports event collection, deployment of algorithms, evaluation, querying predictive results via REST APIs.
To get started, check out http://prediction.io!
Five installation options available.
- Installing PredictionIO on Linux / Mac OS X
- Installing PredictionIO from Source Code
- Launching PredictionIO on AWS
- Installing PredictionIO with Docker (Community contributed)
- Installing PredictionIO with Vagrant (Community contributed)
See Engine Template Quick Start Guide.
Have a bug or a feature request? Please search for existing and closed issues on the Community Forum. If your problem or idea is not addressed yet, please open a new issue.
PredictionIO’s documentation, included in this repo in the root directory, is built with Jekyll and publicly hosted at http://docs.prediction.io/current/. The docs may also be run locally.
- If necessary, install Jekyll (requires v2.4.x).
- Windows users: Read this unofficial guide to get Jekyll up and running without problems.
- Install the Ruby-based syntax highlighter, Rouge, with
gem install rouge. - From the
/docs/manualdirectory, runjekyll servein the command line. - Open Server address ( http://0.0.0.0:4000/0.8.1/ ) in your browser, and you should see the documentation.
Learn more about using Jekyll by reading its documentation.
Keep track of development and community news.
- Follow @predictionio on Twitter.
- Read and subscribe to the Newsletter .
- Join the Community Forum.
Please read and sign the Contributor Agreement. If you have any questions, you can post on the Contributor Forum.
You can also list your projects on the Community Project page
PredictionIO is under Apache 2 license.