Driverless AI Workflow¶
A typical Driverless AI workflow is to:
Run an experiment
Interpret the model
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.
Also see the Driverless AI Experiment Setup Wizard, a question and answer workflow that helps automatically set up use case specific experiment settings.
The image below describes a typical workflow.