Model design specifies a model’s structure, inputs, outputs, and behavior while balancing required function, nonfunctional constraints, available data, and the production environment. section 7.3
Turn the design into an explicit project ticket:
- Decompose the overall problem into tasks, select components for the inductive biases demanded by the data, and define how component outputs will be fused. section 7.3
- Record design decisions, experiments, investigations, and evaluation details so the model remains reproducible and the team avoids repeating work or optimizing validation artefacts. section 7.4.1
Project artifact
Place a Model design deliverable alongside the data survey, data test plan, feature engineering report, model evaluation report, and implementation documentation so decisions can be reviewed and signed off. section 4.3.5
