Welcome to the Ludwig User Guide!
Here, you can read about What Ludwig is, How Ludwig works, and various features that Ludwig supports like AutoML, Hyperparameter optimization, Distributed Training, Serving, Visualization, the Dataset Zoo, and more, with code snippets and examples scattered throughout.
For a new-user-friendly guide, check out Getting Started.
For comprehensive documentation about what parameters are available in the Ludwig configuration, what they do, and how to use them, check out Configuration.
For complete end-to-end examples, check out the Examples.