Multi-Stage Model Tutorial

Demonstrate chaining multiple :class:ModelNode objects, sharing intermediate tensors, and coordinating losses. Highlights how to reason about graph dependencies and stage-level configuration.

Scenario

Describe the business or research question being addressed and why this workflow matters.

Setup

Outline dataset prep, FeatureSet definitions, and experiment context initialization.

Training

Demonstrate how to assemble nodes, losses, optimizers, and training phases for this scenario.

Evaluation

Summarize metrics, qualitative checks, and how to inspect :class:LossRecord outputs.

What’s Next

Link to relevant how-to guides, explanations, or follow-up tutorials.