Model views

Model views help you inspect trained model artefacts.

Use them to understand how a model is structured, or to compare one trained model with another before deployment, review, or iteration.

Views by concern

Structure

Structure shows the internal structure of a trained model, including its modules, partitions, rules, bins, and summary metadata.

Use it when you need to understand how one model is organised.

Comparison

Comparison compares one trained model with another trained model.

Use it when you need to understand how two models differ, such as after changing training configuration, constraints, data, or model version.