Organizing Experiments with the Projects Tab
- Predictive AI
- H2O Driverless AI
- H2O MLOps
This lesson covers the Projects tab in Driverless AI, which organizes related experiments and datasets under a single named project with a description. It walks through creating a new project, linking an existing experiment to it, and viewing the datasets tied to that experiment, along with options to open, rename, edit the description, delete, or share the project with peers. It also notes that storing an experiment inside a project is a prerequisite for deploying it through H2O MLOps, pointing learners to a separate course for that next step.
Key takeaways
- How the Projects tab groups related experiments and datasets together under one named project
- Why linking an experiment to a project is required before it can be deployed through H2O MLOps
- What options are available for a project, from renaming and editing its description to sharing it with peers
- How comparing experiments and scoring datasets both become available once work is organized into a project
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