Basic Training Tutorial

Walk through a single Featureset feeding a simple model graph, covering ingestion, training, evaluation, and result capture. Use this as the on-ramp for anyone building on ModularML for the first time.

Scenario

Describe the 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.