Data Flow Facilitator for Machine Learning (dffml)

Mission Statement

DFFML aims to be the easiest way to use Machine Learning.

We take a "just bring your data" approach to ML. DFFML is an AutoML (Automated Machine Learning) library, command line application, HTTP service, and soon, web UI.

You give DFFML your data and tell it what kind of model you want to train and it creates a model for you.

If you want finer grained control over the model, you can easily do so by implementing your own model plugin.

We also make it easy to use and deploy your models.

Documentation

Documentation for the latest release is hosted at https://intel.github.io/dffml/

Documentation for the master branch is hosted at https://intel.github.io/dffml/master/index.html

Contributing

The contributing page will guide you through getting setup and contributing to DFFML.

Help

• Ask a question via an issue
• Send an email to dffml-users@lists.01.org
  • You can subscribe to the users mailing list here https://lists.01.org/postorius/lists/dffml-users.lists.01.org/
• Ask a question on the Gitter chat

License

DFFML is distributed under the MIT License.

Legal

This software is subject to the U.S. Export Administration Regulations and other U.S. law, and may not be exported or re-exported to certain countries (Cuba, Iran, Crimea Region of Ukraine, North Korea, Sudan, and Syria) or to persons or entities prohibited from receiving U.S. exports (including Denied Parties, Specially Designated Nationals, and entities on the Bureau of Export Administration Entity List or involved with missile technology or nuclear, chemical or biological weapons).