Driverless AI Workflow

A typical Driverless AI workflow is to:

  1. Load data
  2. Visualize data
  3. Run an experiment
  4. Interpret the model
  5. Deploy the scoring pipeline

In addition, you can diagnose a model, transform another dataset, score the model against another dataset, and manage your data in Projects.

The image below describes a typical workflow.

DAI workflow