Multiple Featuresets Tutorial#
Showcase how to register, align, and merge multiple :class:FeatureSet instances for a single experiment.
Covers schema alignment, sampling, and merging strategies.
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.